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. 2023 Jan 4;46:108874. doi: 10.1016/j.dib.2022.108874

Extraction of notable points from ECG data: A description of a dataset related to 30-s seated and 30-s stand up

Rui Pedro Duarte a, Francisco Alexandre Marinho a, Eduarda Sofia Bastos a, Rui João Pinto a, Pedro Miguel Silva a, Alice Fermino b, Hanna Vitalyvna Denysyuk c, António Jorge Gouveia a, Norberto Jorge Gonçalves a, Paulo Jorge Coelho d,e, Eftim Zdravevski f, Petre Lameski f, Toni Tripunovski g, Nuno M Garcia c, Ivan Miguel Pires c,⁎
PMCID: PMC9843242  PMID: 36660441

Abstract

It is increasingly possible to acquire Electrocardiographic data with featured low-cost devices. The proposed dataset will help map different signals for various diseases related to Electrocardiography data. The dataset presented in this paper is related to the acquisition of electrocardiography data during the standing up and seated positions. The data was collected from 219 individuals (112 men, 106 women, and one other) in different environments, but they are in the Covilhã municipality. The dataset includes the 219 recordings and corresponds to the sensors’ recordings of a 30 s sitting and a 30 s standing test, which checks to approximately 1 min for each one. This dataset includes 3.7 h (approximately) of recordings for further analysis with data processing techniques and machine learning methods. It will be helpful for the complementary creation of a robust method for identifying the characteristics of individuals related to Electrocardiography signals.

Keywords: Electrocardiography signals, Daily activities, Diseases, Seated, Stand up

Specifications Table

Subject Signal Processing, and Health and medical sciences
Specific subject area Evaluation of the 30-s seated and 30-s stand up based on ECG data
Type of data Table
How the data were acquired The data was acquired with a BITalino (r)evolution Plugged kit, and a computer with OpenSignals software for the data acquisition. The data was acquired by Bluetooth, and the data is automatically saved in text files.
Data format Raw
JSON
Description of data collection After placed the electrodes in the individual, the BITalino (r)evolution Plugged kit is also placed in a wristband, and the equipment is powered on. The data was acquired with OpenSignals software, and the data is acquired by Bluetooth with a sample rate of 1 kHZ.
Data source location City/Town/Region: Covilhã
Country: Portugal
Latitude and longitude (and GPS coordinates, if possible) for collected samples/data: 40° 16′ 50.037′’ N 7° 30′ 15.555′’ W
Data accessibility Repository name: ECG data related to 30-s seated and 30-s standing for 5P-Medicine project
Data identification number: 10.17632/z4bbj9rcwd.2
Direct URL to data: https://data.mendeley.com/datasets/z4bbj9rcwd.2
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Value of the Data

This dataset is important to different kinds of people for various reasons. These are:

  • •

    The presented dataset allows the implementation of techniques to automatically identify the potential heart condition problems a person might currently have and in the future [1,2].

  • •

    The use of mobile devices for the data acquisition and integration of the acquisition of electric signals allows the identification of a heartbeat in a practical way [3, p. 19], [4,5].

  • •

    ECG data allow the individuals’ monitoring during free time, allowing the identification of possible problems, which may occur anytime [6,7].

  • •

    Big data and machine learning techniques are essential to monitoring the heart [8], [9], [10]. These data represent the electric signals of the heart, which can be used by machine learning techniques to find patterns of heart problems and find them earlier than before.

1. Objective

Some datasets have been published related to ECG data, namely the UofTDB ECG database [11] from the University of Toronto. This private database consists of samples of 1020 patients whose single lead ECG was recorded from 2 to 5 min, with different body postures (standing, sitting, tripod, and supine) and physical exercise. To achieve automatic human identification, Biel et al. [12] presented a private database consisting of 20 persons aged between 20 and 55 years old. Another approach was introduced by Kim et al. [13], where ECG measurements were performed on ten male subjects between 22 and 26 years old who had not been diagnosed with heart diseases. Applied to the acquisition of Electrocardiogram signals from chairs is another database [14], where the ECG signals were read from a 1.75 m and 76 kg man.

The presented work is focused on data provided for related projects with Electrocardiography data for pattern identification [15], [16], [17] (with signal processing or algorithms) that allows the identification of abnormal patterns or other relevant information within the signal for 30 s sitting and 30 s standing test. Thus, with the simple movement of an individual, it will be possible to verify how medicine can be directed to the individual with patient-based methods. The BITalino (r)evolution Plugged kit [18] was used to implement the setup. This device was previously validated as a research device capable of acquiring ECG data, and the position used was described in [19]. The workflow of the research setup is presented in Fig. 1.

Fig. 1.

Fig 1

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Workflow of the dataset creation.

2. Data Description

The dataset presented in this paper is available in a Mendeley Data repository [20], and it contains two files for each individual, making a total of 219 folders. Each folder has a JSON file that contains the description of the data acquisition conditions, the characteristics of the individual, and the sensors used, and a text file that includes the acquired data from the ECG sensor. The following columns are presented in the text files:

  • •

    First column: includes the sequence number related to the data acquisition time in milliseconds.

  • •

    Second, Third, and Fourth columns are empty because they are not used.

  • •

    Fifth column: reports the data related to the ECG sensors in millivolts (mV).

  • •

    Sixth column: it is not relevant to our study, but it includes the value of the z-axis of the accelerometer embedded in the device. It can be helpful in the detection of sitting-down movements.

The chart related to an excerpt of 30-s of the ECG data available at the following link is available in Fig. 2:

Fig. 2.

Fig 2

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Excerpt of 30-s of ECG data.

The JSON file related to the description of the data acquisition conditions related to the excerpt of Fig. 2 is available in the link below:

To complement the data description, Table 1 presents the distribution of the gender by the different individuals, reporting 104 males, 102 females, and one other. Also, Table 2 shows the distribution of the diseases by the different individuals to perform the Technical Validation of the data, where only 55 individuals reported some disorders. Still, the ones with relevant diseases are only 47 subjects. Finally, the average measurements for each volunteer for the 30-s seated and 30-s stand-up tests are presented in Table 3.

Table 1.

Distribution of recordings by gender.

Gender IDs
Male 1, 2, 5, 6, 9, 11, 15, 18, 22, 23, 26, 28, 29, 30, 32, 34, 36, 37, 40, 41, 43, 45, 46, 50, 51, 53, 57, 58, 59, 60, 62, 64, 68, 76, 77, 79, 80, 81, 98, 99, 103, 106, 107, 108, 113, 114, 116, 117, 118, 119, 122, 123, 124, 125, 127, 130, 132, 133, 135, 137, 139, 140, 141, 142, 144, 146, 147, 152, 154, 155, 157, 159, 161, 163, 164, 165, 169, 170, 172, 173, 174, 175, 176, 178, 180, 184, 187, 188, 190, 191, 194, 196, 200, 201, 203, 205, 207, 208, 210, 214, 215, 216, 218, 219
Female 3, 4, 7, 8, 10, 12, 13, 14, 16, 17, 19, 21, 24, 42, 44, 47, 48, 49, 52, 55, 56, 61, 63, 65, 66, 67, 69, 70, 71, 72, 73, 74, 75, 78, 82, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 100, 101, 102, 104, 105, 109, 110, 111, 112, 115, 120, 121, 126, 128, 129, 131, 134, 136, 138, 143, 145, 148, 149, 150, 151, 156, 158, 160, 162, 166, 167, 168, 171, 177, 179, 181, 182, 183, 185, 186, 189, 192, 193, 197, 198, 199, 204, 206, 209, 211, 212, 213, 217
Other 83
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Table 2.

Distribution of recordings by relevant diseases.

Diseases IDs
allergies 11, 24, 51, 113, 125, 167
arrhythmia 23, 187, 189
Asthma 40, 113, 157, 199
Brain problems 147, 179, 194
Cholesterol 17, 49, 73, 107, 147, 148, 188, 194, 197
Diabetes 21, 22, 26, 53, 60, 67, 68, 69, 152, 169, 181, 186, 188
heart problems 76, 112, 150, 187, 189, 194
Hypertension 12, 16, 21, 22, 46, 61, 71, 82, 84, 107, 109, 147, 148, 152, 157, 186, 194, 196, 199
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Table 3.

Average measurements for each volunteer for the 30 s sitting and 30 s standing test.

ID RR interval (ms) PP interval (ms) P Duration (ms) PR interval (ms) PR segment (ms) QRS duration (ms) ST segment (ms) ST-T segment (ms) QT duration (ms) TP interval (ms) R amplitude (mV) T amplitude (mV) P amplitude (mV)
1 863.387 866.113 31.921 194.683 162.762 160.619 115.579 181.302 341.921 536.603 529.016 113.651 109.873
2 701.920 701.880 31.355 98.421 67.066 100.158 128.513 164.961 265.118 363.539 185.724 34.432 32.387
3 906.629 908.161 41.032 200.143 159.111 115.905 206.952 252.032 367.937 568.079 209.635 46.710 35.065
4 860.443 862.071 22.141 141.775 119.634 52.380 200.958 245.183 297.563 439.338 50.408 16.433 57.386
5 762.718 760.179 23.013 195.203 172.190 83.620 170.646 279.671 363.291 558.494 198.861 108.120 142.570
6 739.525 739.650 39.704 122.284 82.580 91.395 153.543 223.383 314.778 437.062 108.284 38.000 32.125
7 714.518 716.181 38.060 123.464 87.915 95.512 176.361 225.774 321.286 444.750 92.810 20.683 59.714
8 816.014 813.556 32.973 184.164 156.000 106.616 224.575 285.877 392.493 576.658 96.164 27.000 37.808
9 1002.000 1001.968 53.063 128.750 75.688 99.938 28.000 55.094 155.031 283.781 279.344 42.517 57.219
10 634.605 634.145 34.688 102.753 69.184 106.792 82.000 121.636 228.429 331.182 161.208 20.920 65.494
11 783.622 782.149 62.413 157.840 105.057 132.253 160.099 216.827 349.080 506.920 391.160 130.890 85.689
12 916.206 918.222 31.906 182.828 150.922 83.531 234.109 272.563 356.094 538.922 146.547 55.516 32.453
13 1047.820 1050.360 39.275 147.569 110.780 94.255 169.872 213.882 308.137 455.706 141.447 129.619 111.362
14 658.629 659.135 40.089 116.100 77.045 92.744 133.556 215.522 308.267 424.367 186.600 44.744 61.091
15 852.333 852.621 63.866 174.567 110.701 151.179 124.375 205.433 356.612 531.179 371.940 111.439 59.149
16 863.261 863.261 40.000 159.957 119.957 113.786 152.486 242.114 355.900 515.857 322.786 85.304 57.314
17 867.059 867.279 39.319 151.290 111.971 118.826 195.507 240.768 359.594 510.884 156.000 47.783 38.232
18 997.400 998.783 73.033 211.459 181.551 186.066 154.607 295.426 481.492 692.951 310.967 142.960 38.180
19 797.680 800.480 24.276 143.026 118.750 98.316 143.724 211.053 309.368 452.395 274.013 60.882 36.224
21 619.536 619.629 37.480 100.776 63.296 115.316 124.551 191.245 306.561 407.337 231.898 55.908 28.643
22 976.333 977.030 50.735 197.500 146.765 141.000 150.176 210.794 351.794 549.294 345.882 65.394 95.970
23 1041.370 1032.481 18.714 192.071 173.357 66.179 300.071 322.679 388.857 580.929 261.357 98.321 51.071
24 779.692 779.446 27.303 125.288 97.985 96.697 154.492 191.348 288.045 413.333 581.515 151.034 89.354
26 662.180 662.700 27.804 108.706 80.902 86.804 139.314 184.196 271.000 379.706 206.765 102.745 97.765
28 558.028 558.370 47.606 121.119 87.787 130.505 61.179 86.394 216.899 338.018 661.550 67.294 123.541
29 690.671 690.250 27.130 128.597 101.468 109.805 144.468 178.455 288.260 416.857 580.831 122.197 84.532
30 769.818 769.667 36.970 195.358 158.388 72.672 187.388 261.343 334.015 529.373 116.791 103.388 114.896
32 1224.194 1223.028 77.595 144.892 74.441 134.378 86.645 146.919 281.297 426.189 629.703 259.121 154.767
34 786.360 786.267 63.868 133.368 69.500 199.816 42.267 114.789 314.605 447.974 548.276 115.632 147.500
36 771.987 772.000 48.987 108.557 60.551 67.595 128.241 244.924 312.519 421.076 448.354 89.582 129.696
37 775.231 775.936 42.696 193.456 150.759 86.101 196.848 292.709 378.810 572.266 99.127 47.121 78.090
40 699.482 699.647 51.872 162.372 133.288 136.233 113.058 258.953 395.186 557.558 374.140 127.628 93.465
41 749.171 751.614 21.535 150.662 129.127 101.113 177.451 235.944 337.056 487.718 293.408 62.229 84.141
42 870.221 870.221 32.145 164.000 131.855 107.971 189.899 241.116 349.087 513.087 357.884 80.478 85.493
43 851.557 851.771 50.817 148.831 98.014 87.099 226.408 326.296 413.394 562.225 367.577 90.225 84.592
44 804.230 804.351 53.040 120.400 67.360 120.773 197.653 248.800 369.573 489.973 341.760 97.267 52.000
45 812.924 813.182 45.657 156.821 111.164 105.836 195.388 249.761 355.597 512.418 217.433 65.179 53.358
46 788.160 788.213 56.724 156.632 99.908 135.921 119.803 233.276 369.197 525.829 327.645 112.855 77.066
47 821.139 821.847 32.027 165.630 133.603 108.740 243.466 293.767 402.507 568.137 111.973 32.918 42.699
48 875.298 875.064 39.979 124.146 84.167 172.104 70.698 196.167 368.271 492.417 334.729 95.688 50.792
49 714.452 714.452 46.235 191.624 149.313 130.118 103.583 216.341 346.459 538.082 614.200 151.082 270.659
50 750.519 751.469 35.049 149.561 116.099 96.817 148.451 205.012 301.829 451.390 80.232 31.258 35.886
51 938.639 938.852 20.016 220.661 200.645 128.097 213.210 242.855 370.952 591.613 713.419 254.726 97.097
52 839.887 840.014 45.431 132.500 88.521 74.333 226.500 270.222 344.556 477.056 299.250 55.903 52.806
53 760.091 760.286 45.269 111.423 66.154 110.910 167.564 219.115 330.026 441.449 337.218 81.821 83.885
55 856.161 856.484 47.889 161.714 113.825 86.222 96.094 143.238 229.460 391.175 215.790 57.635 50.737
56 823.681 823.710 35.671 157.243 123.594 90.500 214.400 247.500 338.000 495.243 97.143 34.243 46.743
57 711.047 710.906 43.523 135.600 92.077 167.615 74.447 141.877 309.492 445.092 547.200 87.477 134.415
58 817.013 819.288 33.778 190.049 158.413 95.012 206.074 250.259 345.272 535.321 233.593 58.815 79.667
59 1053.518 1053.411 71.018 178.474 115.056 171.719 159.807 325.421 497.140 675.614 283.404 72.632 69.298
60 1056.364 1051.000 79.446 207.161 127.714 249.911 63.515 135.446 385.357 592.518 392.161 117.161 55.696
61 1008.966 1008.881 31.217 241.050 209.833 69.500 255.033 308.050 377.550 618.600 127.283 44.717 43.117
62 1029.556 1025.533 42.087 179.848 137.761 159.761 139.971 169.043 328.804 508.652 650.652 131.413 149.696
63 807.803 805.690 31.958 148.597 116.639 102.306 152.903 215.736 318.042 466.639 168.153 43.569 40.792
64 781.789 782.366 26.681 182.653 155.972 54.417 177.833 233.694 288.111 470.764 116.250 37.576 122.958
65 645.167 644.089 38.000 123.220 86.333 93.857 170.418 209.407 303.264 426.484 154.407 31.409 50.670
66 996.500 993.923 19.132 134.377 115.245 69.528 186.038 209.736 279.264 413.642 185.321 55.642 67.654
67 964.295 964.361 23.871 174.710 150.839 78.306 245.532 271.403 349.710 524.419 203.355 60.129 25.435
68 1069.129 1071.097 21.000 163.781 142.781 51.281 202.688 228.875 280.156 443.938 210.281 87.414 78.968
69 708.875 708.963 29.160 130.938 101.778 75.975 212.284 241.074 317.049 447.988 186.864 46.605 22.914
70 915.750 915.955 50.778 120.222 69.444 77.578 142.822 225.400 302.978 423.200 98.133 48.818 42.200
71 879.806 876.910 24.868 185.471 160.603 112.868 197.853 248.412 361.279 546.750 329.632 90.147 66.515
72 836.732 836.829 20.542 122.602 102.060 107.096 154.928 200.675 307.771 430.373 306.651 79.349 70.012
73 867.603 867.635 40.219 150.859 114.742 126.781 166.667 207.281 334.063 484.922 253.734 55.079 50.906
74 921.621 921.466 38.610 173.712 137.672 110.441 183.625 234.864 345.305 519.017 628.915 218.474 147.927
75 522.504 522.658 34.186 113.881 79.695 117.542 74.079 143.271 260.814 374.695 227.110 43.381 30.619
76 711.631 711.583 45.588 130.329 84.741 203.859 90.940 159.518 363.376 493.706 541.047 175.494 28.059
77 752.635 752.703 68.853 137.787 108.980 104.320 148.167 232.480 336.800 474.587 351.333 81.760 103.108
78 891.758 892.439 37.358 146.522 111.045 94.418 174.045 238.567 332.985 479.507 189.179 56.522 42.284
79 700.127 698.329 63.038 154.913 103.917 128.725 93.354 168.563 297.288 452.200 180.375 69.411 68.363
80 748.899 750.911 42.013 151.900 109.888 155.300 91.700 260.188 415.488 567.388 712.788 301.025 219.675
81 845.100 847.943 40.746 229.141 188.394 168.648 110.479 280.930 449.577 678.718 688.225 254.197 150.789
82 746.475 746.713 55.321 163.099 107.778 115.309 160.667 240.420 355.728 518.827 236.432 57.577 84.938
83 765.164 765.027 43.446 140.689 98.781 71.500 175.446 259.257 330.757 471.446 183.959 45.169 43.703
84 884.642 882.119 47.706 167.118 119.412 101.985 180.868 252.206 354.191 521.309 166.926 47.162 41.691
85 814.377 814.541 21.065 132.129 111.065 69.774 193.855 226.081 295.855 427.984 320.548 86.931 83.902
86 723.247 724.778 43.463 146.585 105.025 95.732 152.383 209.707 305.439 452.024 175.198 67.744 59.293
87 1020.160 1021.220 81.941 198.314 124.469 150.333 169.756 203.216 353.549 551.863 512.275 173.980 141.528
88 998.109 998.219 52.769 202.785 150.015 64.138 306.369 397.477 461.615 664.400 112.292 33.414 38.015
89 926.778 925.143 55.719 213.688 157.969 173.078 150.047 264.422 437.500 651.188 661.563 213.094 69.359
90 605.442 605.453 37.260 114.646 77.385 110.510 116.656 176.854 287.365 402.010 280.927 54.063 27.652
91 837.718 838.958 41.097 117.194 77.352 138.139 97.323 186.222 324.361 441.556 329.639 76.347 72.042
92 1128.543 1128.657 50.333 135.139 84.806 106.806 124.200 160.583 267.389 402.528 142.278 32.222 35.639
93 754.987 755.177 50.388 112.063 61.675 158.200 61.047 161.188 319.388 431.450 610.788 113.863 166.513
94 700.082 699.918 36.198 120.698 84.500 114.826 122.558 187.105 301.930 422.628 226.663 37.518 38.635
95 713.610 713.866 40.169 116.627 77.549 126.723 101.539 155.036 281.759 398.386 372.265 58.205 73.434
96 1075.632 1077.895 53.436 143.282 89.846 171.410 83.735 155.154 326.564 469.846 504.231 104.769 24.865
97 717.536 719.417 44.059 113.659 69.600 149.612 73.532 155.988 305.600 419.259 307.812 62.894 57.929
98 651.012 651.221 42.080 132.759 90.678 69.425 121.274 168.575 238.000 370.759 35.103 34.434 40.815
99 775.191 773.191 49.507 165.768 118.162 50.870 214.377 306.174 357.043 522.812 277.217 129.420 54.567
100 924.475 920.475 49.226 195.306 148.705 130.661 117.017 196.371 327.032 522.339 363.226 90.721 51.597
101 791.852 791.770 34.871 88.565 53.694 140.403 77.769 149.516 289.919 378.484 600.645 96.823 51.968
102 732.333 734.840 40.976 124.683 87.456 158.695 59.232 149.390 308.085 432.768 403.195 70.122 79.963
103 926.049 926.115 48.435 123.548 75.113 91.968 133.210 225.177 348.726 642.597 747.323 12.226
104 710.326 712.488 33.954 134.839 100.885 76.966 173.851 219.000 295.966 430.805 183.621 65.279 87.195
105 776.092 776.026 28.883 155.156 126.273 82.857 168.169 219.831 302.688 457.844 185.844 36.610 32.701
106 726.825 724.850 45.395 135.642 90.247 148.543 86.039 174.000 322.543 458.185 275.160 82.734 74.646
107 715.829 715.878 61.108 114.518 53.410 120.482 136.361 198.205 318.687 433.205 152.458 32.627 53.470
108 758.197 756.539 40.922 164.104 123.182 81.026 250.649 307.000 388.026 552.130 177.831 54.443 86.857
109 699.495 700.242 33.560 117.180 83.620 85.830 164.293 200.180 286.010 403.190 121.880 32.670 14.560
110 840.986 842.214 39.000 162.493 123.493 120.239 149.897 224.394 344.634 507.127 187.423 51.352 25.718
111 682.495 682.560 45.467 88.304 47.035 146.500 94.442 174.620 321.120 409.424 330.772 65.924 76.978
112 818.486 817.083 35.479 132.274 96.795 114.288 146.877 198.521 312.808 445.082 123.904 33.548 25.055
113 685.674 683.709 37.678 167.000 129.322 81.598 103.678 190.552 272.149 439.149 180.517 38.667 125.552
114 811.014 810.667 38.479 122.233 83.753 153.411 121.178 218.945 372.356 494.589 340.521 151.438 44.219
115 930.464 926.679 26.807 173.018 146.211 124.579 197.246 240.158 364.737 537.754 465.561 104.754 32.561
116 779.151 777.575 22.743 145.446 122.703 104.135 204.351 234.486 338.622 484.068 327.797 92.243 88.581
117 730.527 730.473 47.933 104.733 57.824 113.427 185.293 233.493 346.920 451.653 238.240 50.960 89.880
118 798.260 799.384 37.284 167.676 130.392 63.986 209.716 254.635 318.622 486.297 108.432 33.661 23.297
119 1055.160 1057.980 46.627 157.020 113.140 137.373 206.510 243.667 381.039 538.059 398.392 119.922 27.843
120 649.663 649.798 45.767 108.367 62.600 107.589 142.756 203.189 310.778 419.144 131.378 27.489 55.633
121 667.694 669.347 37.123 114.137 79.648 112.753 84.191 132.877 245.630 359.767 323.877 47.732 95.877
122 830.815 830.538 30.394 157.439 127.045 154.985 158.359 210.788 365.773 523.212 379.364 86.288 41.955
123 1910.438 1910.625 48.471 144.118 95.647 68.059 163.412 267.059 335.118 479.235 647.588 150.588 142.824
124 686.193 686.795 37.798 151.382 113.584 66.191 56.727 102.438 168.629 320.011 427.517 443.640 56.976
125 810.343 810.586 41.127 187.028 148.214 154.338 106.625 183.930 338.268 525.296 572.000 117.803 119.028
126 819.985 819.333 37.090 191.642 154.552 146.433 109.968 180.970 327.403 519.045 543.373 120.803 126.866
127 2517.375 2517.500 59.111 184.667 125.556 51.111 140.889 230.444 281.556 466.222 368.778 111.200 91.111
128 2486.625 2504.625 33.889 137.444 103.556 54.111 201.667 250.778 304.889 442.333 474.667 108.429 97.333
129 777.284 776.704 43.110 163.915 122.494 139.939 133.370 198.037 337.976 501.890 477.329 109.110 116.183
130 775.415 774.122 43.867 170.807 128.695 128.169 157.341 206.964 335.133 505.940 432.482 107.916 113.096
131 721.661 720.274 39.508 167.159 129.968 150.921 119.333 180.587 331.508 498.667 515.905 111.032 116.603
132 944.935 941.984 47.063 195.238 150.919 140.651 136.175 206.286 346.937 542.175 352.667 90.937 52.540
133 945.694 946.177 28.603 163.667 135.063 131.127 157.017 215.492 346.619 510.286 343.016 75.222 43.444
134 904.303 903.697 28.836 173.910 145.075 109.672 180.152 239.269 348.940 522.851 319.910 73.985 43.939
135 896.813 898.859 31.554 178.108 146.554 115.800 172.222 225.615 341.415 519.523 336.031 79.062 54.738
136 873.209 875.970 31.853 154.015 122.162 118.897 166.892 221.132 340.029 494.044 334.382 89.926 49.348
137 767.697 767.776 30.805 223.481 192.675 119.468 161.078 226.675 346.143 569.623 292.299 80.494 65.857
138 737.062 735.901 34.841 146.549 113.284 101.195 162.232 219.610 320.805 467.354 244.598 71.829 64.585
139 742.304 743.671 35.225 139.188 105.468 123.925 116.263 200.775 324.700 463.888 286.438 79.750 66.713
140 739.675 738.263 30.444 170.074 139.630 113.210 146.778 209.272 322.481 492.556 254.790 76.815 64.025
141 760.634 760.854 32.458 180.964 150.500 107.627 149.735 226.325 333.952 514.916 276.735 87.361 68.976
142 785.459 783.574 20.645 157.984 137.339 76.952 180.885 209.387 286.339 444.323 562.492 147.167 141.968
143 938.984 939.032 40.109 181.000 140.891 162.125 75.472 186.797 348.922 529.922 666.422 181.188 40.794
144 652.685 650.957 35.172 120.516 86.424 196.591 34.130 90.968 287.559 408.075 621.839 137.237 69.183
145 736.100 736.250 51.914 102.679 50.765 186.346 40.400 117.926 304.272 406.951 445.840 66.395 86.963
146 901.864 904.167 21.657 139.612 117.955 86.090 158.955 242.075 328.164 467.776 618.761 181.403 75.433
147 777.111 775.681 22.096 185.849 163.753 57.356 252.068 282.233 339.589 525.438 273.370 79.973 42.342
148 654.965 655.035 67.860 143.174 75.314 113.233 99.181 189.105 302.337 445.512 333.279 106.500 107.320
149 709.842 711.895 25.410 135.051 109.641 71.333 111.194 157.487 228.821 363.872 31.229 135.108 115.514
150 972.018 972.070 41.500 148.172 106.672 71.655 240.793 280.500 352.155 500.328 110.707 52.969 27.089
151 890.161 890.726 49.095 167.444 118.349 127.159 133.033 205.175 332.333 499.778 260.476 76.143 60.790
152 852.017 850.783 47.049 160.803 113.754 127.164 147.885 208.541 335.705 496.508 322.328 99.016 38.787
154 819.179 818.036 29.877 125.281 99.764 81.544 99.982 138.386 219.930 345.211 169.018 49.577 117.860
155 995.140 994.560 55.353 142.627 93.729 128.412 94.087 166.373 294.784 437.412 592.098 225.813 366.479
156 1509.686 1513.229 30.722 184.306 163.559 92.556 248.686 273.278 365.833 550.139 109.333 32.229 43.278
157 620.453 620.400 45.958 107.188 61.229 73.229 173.490 214.031 287.260 394.448 104.771 28.292 47.200
158 748.950 749.225 38.593 172.704 137.797 169.037 62.094 131.889 300.926 473.630 652.642 181.272 61.321
159 833.149 835.567 39.588 171.971 132.382 150.044 104.439 191.794 341.838 513.809 597.382 154.765 88.765
160 938.508 940.016 66.032 193.677 132.433 108.242 191.050 258.355 366.597 560.274 165.194 77.274 51.903
161 798.740 796.562 37.041 174.649 137.608 124.514 188.877 254.622 379.135 553.784 316.568 102.338 44.770
162 785.919 784.149 40.667 157.493 118.581 115.293 127.878 201.173 316.467 473.960 410.693 121.840 47.703
163 1208.533 1208.800 75.891 199.913 127.178 198.065 138.303 264.826 462.891 662.804 641.304 163.000 60.326
164 799.861 801.847 39.466 202.849 163.384 134.205 118.814 183.863 318.068 520.918 353.356 80.342 103.438
165 968.052 965.190 48.305 131.983 83.678 185.559 87.966 179.441 365.000 496.983 655.881 191.000 66.966
166 824.057 823.914 45.324 180.479 135.155 97.028 192.928 231.930 328.958 509.437 150.423 56.471 101.143
167 756.387 755.880 46.276 157.592 114.689 153.513 109.525 166.711 320.224 477.816 500.776 115.882 59.573
168 1322.862 1322.483 49.800 219.567 169.767 131.967 168.483 240.100 372.067 591.633 444.967 157.724 104.591
169 705.880 705.602 38.667 182.405 143.738 117.940 162.119 258.321 376.262 558.667 221.881 107.155 82.012
170 738.541 738.568 56.027 142.267 92.183 162.720 126.200 260.213 422.933 565.200 609.440 188.947 174.827
171 1043.018 1040.518 67.491 217.018 174.220 124.351 173.000 272.667 397.018 614.035 141.070 65.632 51.807
172 874.364 872.667 24.731 229.761 208.394 80.925 193.985 250.478 331.403 561.164 221.030 59.284 170.939
173 815.746 818.775 34.792 208.931 174.139 150.681 102.750 220.125 370.806 579.736 367.500 121.181 101.653
174 888.406 888.203 49.338 134.908 85.569 159.246 178.806 228.954 388.200 523.108 392.585 105.923 82.354
175 960.500 962.550 45.197 168.721 128.203 156.180 116.393 215.475 371.656 540.377 417.197 112.311 59.550
176 747.081 744.622 54.533 185.080 134.630 53.840 175.227 245.720 299.560 484.640 150.453 151.391 119.708
177 1382.848 1383.121 68.559 193.912 125.353 210.971 106.032 206.912 417.882 611.794 362.382 102.118 40.706
178 810.528 810.472 36.863 184.630 150.125 113.000 226.712 267.918 380.918 565.548 154.681 50.986 66.973
179 682.058 682.244 35.103 129.586 94.483 102.471 150.759 208.034 310.506 440.092 179.977 41.172 37.724
180 835.029 832.071 37.930 263.169 225.239 60.563 214.239 320.775 381.338 644.507 181.211 89.113 87.577
181 982.941 982.980 66.481 168.923 107.480 172.115 151.980 282.673 454.788 623.712 620.058 204.462 53.333
182 903.106 903.121 53.642 135.448 81.806 139.970 132.049 204.791 344.761 480.209 282.194 64.078 49.582
183 695.565 697.318 45.558 155.442 109.884 59.140 152.035 200.372 259.512 414.953 63.267 20.600 17.258
184 894.682 894.750 50.733 142.311 91.578 130.956 111.364 153.867 284.822 427.133 326.733 79.182 74.867
185 799.123 797.164 46.838 132.635 87.151 136.446 158.507 205.892 342.338 474.973 211.500 51.162 33.397
186 636.634 636.548 50.011 96.553 47.967 65.723 217.426 285.181 350.904 447.457 168.745 45.483 38.902
187 817.847 818.111 46.082 146.370 100.288 69.712 181.301 260.493 330.205 476.575 218.384 74.667 39.809
188 810.644 810.658 39.108 127.459 89.863 106.095 224.243 265.108 371.203 498.662 254.703 67.865 121.824
189 970.333 968.200 34.344 200.803 169.667 104.787 281.000 319.475 424.262 625.066 95.820 32.051 28.614
190 894.773 895.348 53.299 197.672 144.373 70.313 200.727 269.224 339.537 537.209 153.985 65.642 30.023
191 850.014 850.319 30.786 195.786 165.000 66.400 246.671 279.914 346.314 542.100 147.829 59.926 38.484
192 790.384 789.918 72.851 187.365 120.620 106.811 154.075 212.338 319.149 506.514 206.270 116.397 72.800
193 635.484 635.753 40.915 103.149 62.234 96.872 146.064 208.979 305.851 409.000 112.755 33.053 43.085
194 726.036 726.250 68.753 190.600 121.847 127.376 139.659 278.129 405.506 596.106 300.153 201.871 25.691
196 760.500 760.221 41.724 123.736 82.011 80.011 177.437 240.644 320.655 444.391 215.874 77.448 55.333
197 807.260 809.315 53.419 199.351 145.932 81.405 152.465 212.743 294.149 493.500 138.041 71.589 55.838
198 2262.462 2262.231 33.929 124.286 90.357 126.786 95.615 137.214 264.000 388.286 302.571 62.846 60.429
199 795.108 797.649 36.333 144.427 108.093 62.173 195.880 234.493 296.667 441.093 110.333 48.191 20.411
200 1132.787 1130.021 89.104 185.583 104.044 192.917 126.000 320.625 513.542 699.125 811.563 357.000 141.375
201 913.391 913.344 19.446 178.646 159.200 75.800 191.538 229.277 305.077 483.723 256.585 68.569 49.738
203 792.760 792.733 18.276 254.961 236.684 96.987 216.987 243.684 340.671 595.632 642.145 164.250 146.961
204 771.013 770.671 18.675 241.325 222.649 95.026 219.545 247.403 342.429 583.753 620.701 156.338 143.013
205 739.689 739.905 19.520 174.693 155.173 96.307 219.640 246.653 342.960 517.653 588.373 146.867 138.053
206 757.474 755.789 20.779 207.519 186.740 105.818 216.065 243.883 349.701 557.221 619.740 153.506 140.792
207 755.041 755.432 19.493 224.560 205.067 105.720 207.333 235.320 341.040 565.600 615.853 148.200 135.280
208 800.883 800.982 18.339 249.393 231.054 105.027 215.973 243.598 348.625 598.018 632.330 152.554 135.009
209 811.456 810.868 18.797 222.203 203.406 101.971 215.899 244.000 345.971 568.174 630.087 150.797 134.464
210 854.000 853.841 18.169 261.798 243.629 99.865 223.944 251.854 351.719 613.517 640.146 158.730 138.629
211 833.984 834.406 19.092 239.200 220.108 101.308 216.508 245.277 346.585 585.785 629.985 155.969 140.723
212 797.471 794.914 18.479 239.958 221.479 102.296 217.901 242.915 345.211 585.169 628.930 153.296 136.127
213 808.371 808.386 18.423 237.690 219.268 106.070 214.986 242.239 348.310 586.000 621.972 151.127 136.761
214 805.159 805.244 18.687 242.181 223.494 106.217 209.795 237.771 343.988 586.169 633.494 154.952 136.651
215 807.408 807.233 19.769 228.702 208.933 102.788 215.490 242.125 344.913 573.615 624.192 151.981 137.260
216 816.278 816.458 19.315 222.781 203.466 104.260 210.877 238.521 342.781 565.562 636.233 156.178 139.507
217 831.903 832.661 19.143 189.762 170.619 104.937 206.968 235.921 340.857 530.619 584.270 136.778 125.238
218 761.554 763.703 18.787 207.573 188.787 101.733 204.573 232.453 334.187 541.760 637.707 158.107 145.400
219 879.852 877.459 18.806 226.177 207.371 107.839 204.806 231.484 339.323 565.500 641.710 149.484 132.016
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As presented in Table 4, Table 5, Table 6, the significance of differences between male and female groups was analyzed using Student's t-test for independent samples. Those differences where the p-value was less than 0.05 (p < 0.05) were considered statistically significant.

Table 4.

Average, maximum, minimum, standard deviation, and median of measurements for Male gender.

Male RR interval (ms) PP interval (ms) P Duration (ms) PR interval (ms) PR segment (ms) QRS duration (ms) ST segment (ms) ST-T segment (ms) QT duration (ms) TP interval (ms) R amplitude (mV) T amplitude (mV) P amplitude (mV)
Average 863.07 863.31 39.65 155.87 117.45 111.70 158.60 217.49 329.19 485.06 303.79 80.85 66.59
Maximum 2486.63 2504.63 81.94 241.33 222.65 210.97 306.37 397.48 461.62 664.40 666.42 218.47 270.66
Minimum 522.50 522.66 18.42 88.30 47.04 52.38 40.40 117.93 228.43 331.18 31.23 16.43 14.56
Standard Deviation 263.47 264.58 12.74 37.10 39.99 30.68 53.47 45.66 42.69 70.59 180.61 47.22 40.66
Median 817.25 815.81 38.81 151.07 114.26 107.78 156.72 215.63 327.22 478.66 257.11 65.46 53.07
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Table 5.

Average, maximum, minimum, standard deviation, and median of measurements for Female gender.

Female RR interval (ms) PP interval (ms) P Duration (ms) PR interval (ms) PR segment (ms) QRS duration (ms) ST segment (ms) ST-T segment (ms) QT duration (ms) TP interval (ms) R amplitude (mV) T amplitude (mV) P amplitude (mV)
Average 851.24 851.04 41.01 168.79 129.92 115.62 155.91 223.01 338.63 507.42 380.19 119.88 90.19
Maximum 2517.38 2517.50 89.10 263.17 243.63 249.91 300.07 326.30 513.54 699.13 811.56 747.32 366.48
Minimum 558.03 558.37 18.17 98.42 53.41 50.87 28.00 55.09 155.03 283.78 35.10 28.29 12.23
Standard Deviation 229.78 229.70 15.86 37.66 44.05 40.16 52.19 52.83 56.49 78.98 189.89 91.53 49.60
Median 800.37 801.41 40.23 166.38 127.11 108.82 157.34 230.96 340.13 514.36 341.77 102.54 83.12
Open in a new tab

Table 6.

Student's t-test values for Male/Female for each attribute.

Male/Female RR interval (ms) PP interval (ms) P Duration (ms) PR interval (ms) PR segment (ms) QRS duration (ms) ST segment (ms) ST-T segment (ms) QT duration (ms) TP interval (ms) R amplitude (mV) T amplitude (mV) P amplitude (mV)
Student's t-test (p values) 0.732 0.722 0.499 0.014 0.035 0.433 0.716 0.424 0.178 0.033 0.003 0.000 0.193
Open in a new tab

3. Experimental Design, Materials, and Methods

3.1. Participants

The data was collected from 219 volunteering individuals (112 men, 106 women, and one other) aged between 12 and 92 years old. If over 18 years of age, the participants signed the informed consent, and informed consent was required from parents or legal guardians in the case of children under 18. Parents or legal guardians were present during the experiments. Although it only allows us to share the results of the tests anonymously, the participants considered the risks and the study's objective. Only the data related to the individuals that signed the consent to participate in the study were recorded. Ethics Committee from Universidade da Beira Interior approved the study with the number CE-UBI-Pj-2021–041.

3.2. Data Acquisition

The data was acquired using a BITalino (r)evolution device [18], linked to a personal computer, running the OpenSignals (r)evolution software. Through these devices, each volunteer's data were stored in two files: one JSON file regarding the characteristic data of the volunteer and his lifestyle and a text file with the data related to the test data over time. These files were stored in an individual folder per volunteer.

3.3. Procedure

In the procedure for data collection, we extracted data using BITalino (r)evolution device, and the steps were the following:

  • (1)

    The electrodes were connected to the ECG sensors available in BITalino (r)evolution device.

  • (2)

    Three electrodes were attached to the subject.

  • (3)

    The BITalino (r)evolution device was synchronized with the OpenSignals (r)evolution software.

  • (4)

    The data acquisition was started in the OpenSignals (r)evolution software.

  • (5)

    Data was collected from the individual in a standing position for 30 s.

  • (6)

    The individual sits down in a chair.

  • (7)

    Data was collected from the individual in the seated position for 30 s.

  • (8)

    The data acquisition was stopped.

4. Data Validation and Quality Control

The quality and quantity of data acquired from the different sensors are important for further data usage. The data acquired show interesting preliminary conclusions that can be explored with other data available in public datasets. Initially, validation was performed during the extraction of the different analyzed variables related to the ECG data, including RR interval, PP interval, P Duration, PR interval, PR segment, QRS duration, ST segment, ST-T segment, QT duration, TP interval, R amplitude, T amplitude, P amplitude. During this analysis, it was found that some of the data acquired were invalid, i.e., the data related to the individuals with IDs 20, 25, 31, 33, 35, 38, 39, 54, 153, 195, 202, resulting in the exclusion of the analysis of 11 individuals.

The exclusion of the data related to the 11 individuals is mainly related to the incorrect positioning of the electrodes for acquiring the ECG data or involuntary movements that misplace the electrodes during the standing-up exercise. However, this data is included in the dataset because some parts of the acquired data are valid and can be compared with the correctly acquired data. However, as validated by the medical doctor that analyzed this protocol, it is not related to the diseases of these individuals because eight do not report health problems, and the other three reported diseases unrelated to cardiovascular problems, such as diabetes and anemia. The data acquired from these individuals are included in the dataset for further analysis.

However, to analyze and validate the acquired data, different machine learning methods were tested, including Nearest Neighbors with k = 3, Linear SVM with C = 0.025, RBF SVM with gamma = 2 and C = 1, Decision Tree with a max depth of 5, Random Forest with a max depth of 5, 10 estimators and max features of 1, Neural Networks, AdaBoost, and Naive Bayes with default configuration as implemented in the python library. The methods were tested for classification by gender and by disease. Additional details about the techniques used can be found in the Jupyter notebook (https://github.com/impires/JupyterNotebooksECGData). The reported results demonstrated that it could be better used after the combination with a larger dataset, but it is a starting point for future studies.

The Python files used to measure the parameters and points related to the ECG signal are available at https://github.com/impires/featureExtractionECGData. The preliminary data exploration and analysis code are available as a Jupyter notebook at https://github.com/impires/JupyterNotebooksECGData. The Jupyter notebook shows how the data can be loaded and how the initial data exploration can be performed, showing some charts and descriptive statistics. This will be more than sufficient to bootstrap future uses of the dataset. The measured ECG data indicates certain conditions [21] when specific parameters reach certain thresholds. The application of machine learning methods could be used by doctors and ease and speed up the diagnosis process.

5. Re-Use Potential

The potential use of this dataset is related to the analysis of ECG data related to seated and standing-up activities. Unlike the other datasets available for this purpose, this dataset describes the different data related to the data acquisition environment and individuals. Additionally, providing the various related data allows the comparison with other datasets in the same conditions related to daily activities. This dataset can be the starting point for their research studies associated with the COVID-19 pandemic. The individual's data is already anonymized, and the participants signed informed consent to allow the data acquisition.

Ethics Statements

The participants signed an ethical agreement to allow us to share the results of the tests in an anonymous form. The agreement also provided the participants’ informed consent considering the study's risks and objectives. Ethics Committee from Universidade da Beira Interior approved the study with the number CE-UBI-Pj-2021–041.

CRediT authorship contribution statement

Rui Pedro Duarte: Data curation, Writing – original draft. Francisco Alexandre Marinho: Data curation, Writing – original draft. Eduarda Sofia Bastos: Data curation, Writing – original draft. Rui João Pinto: Data curation, Writing – original draft. Pedro Miguel Silva: Data curation, Writing – original draft. Alice Fermino: Data curation, Writing – original draft. Hanna Vitalyvna Denysyuk: Visualization, Investigation. António Jorge Gouveia: Supervision. Norberto Jorge Gonçalves: Writing – review & editing. Paulo Jorge Coelho: Software, Validation. Eftim Zdravevski: Writing – review & editing. Petre Lameski: Writing – review & editing. Toni Tripunovski: Validation, Writing – review & editing. Nuno M. Garcia: Supervision. Ivan Miguel Pires: Supervision.

Declaration of Competing Interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Acknowledgments

This work is funded by FCT/MEC through national funds and, when applicable, co-funded by the FEDER-PT2020 partnership agreement under the project UIDB/50008/2020.

This work is also funded by FCT/MEC through national funds and, when applicable, co-funded by the FEDER-PT2020 partnership agreement under the project UIDB/00308/2020.

This article is based upon work from COST Action IC1303-AAPELE—Architectures, Algorithms, and Protocols for Enhanced Living Environments and COST Action CA16226–SHELD-ON—Indoor living space improvement: Smart Habitat for the Elderly, supported by COST (European Cooperation in Science and Technology). COST is a funding agency for research and innovation networks. Our Actions help connect research initiatives across Europe and enable scientists to grow their ideas by sharing them with their peers. It boosts their research, career, and innovation. More information on www.cost.eu.

Footnotes

Supplementary material associated with this article can be found, in the online version, at doi:10.1016/j.dib.2022.108874.

Appendix. Supplementary materials

mmc1.pdf (666KB, pdf)
mmc2.pdf (334.3KB, pdf)

Data Availability

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

mmc1.pdf (666KB, pdf)
mmc2.pdf (334.3KB, pdf)

Data Availability Statement

Articles from Data in Brief are provided here courtesy of Elsevier

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