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. 2023 Oct 17;12(20):6576. doi: 10.3390/jcm12206576

Table 1.

Study characteristics (PPG, single-lead ECG and miscellaneous).

Author, Year Setting Study Design Device Algorithm Time Used Gold Standard Age (Mean ± SD) Sex (Females %) N N in AF Group N in Control Group (Type of Control Group) Group of AFL TP TN FP FN Unclassified/
Uninterpretable
Bacevicius et al., 2022 [39] Inpatients and outpatients Case–control selected cross-sectional study Prototype of the wearable device Automatic PPG-based algorithm (PPG) 2 min. 3-lead Holter AF: 65.6 ± 11.2,
SR: 67.3 ± 14.2
AF: 47.1%
SR: 46.1%
344 121 223 (SR) Excluded from study 114 216 7 7 Excluded
Chang et al., 2022 [33] Outpatients Cohort selected cross-sectional study Garmin Forerunner 945 smartwatch Garmin Forerunner 945 smartwatch algorithm (PPG) 24 h 3-lead Holter All participants: 66.1 ± 12.6 AF: 69.3 ± 11.5
Non-AF: 62.0 ± 12.9
All participants: 36.5%
AF: 30.4%
Non-AF: 44.3%
200 112 88 (non-AF) AF group 109 78 10 3 0%
Chen et al., 2020 (A) [40] Inpatients and outpatients Case–control selected cross-sectional study Amazfit Health Band 1S RealBeats Artificial Intelligence Biological Data Engine (Huami Technology) (PPG) 3 min. 12-lead ECG AF: 70.4 ± 11.5
Non-AF: 59.3 ± 14.8
AF: females: 43.3%
Non-AF: females: 52.6%
401 139 244 (non-AF) Control group 132 242 2 7 4.5%
Van Haelst et al., 2018 (A) [11] Outpatients Case–control selected cross-sectional study Fibricheck Fibricheck algorithm (PPG) 3 min. 12-lead ECG All participants: 77.3 ± 8.0
AF: 78.8 ± 8.0
No AF: 75.9 ± 7.9
All participants: 57.4% AF: 51.1%
Non-AF: 63.3%
190 75 93 (non-AF) AF group 73 83 10 2 11.6%
Mol et al., 2020 [35] Inpatients Case–control selected cross-sectional study iPhone 8 Algorithm developed by Happitech (Amsterdam, The Netherlands) (PPG) 90 s Continuous electrocardiography All participants: 69 ± 9 All participants: 43% 257 149 108 (SR) Excluded from study 139 101 2 3 4.7%
Sun et al., 2022 [34] Outpatients Case–control selected cross-sectional study Industrial camera (FLIR BFLY-U3-03S2C-CS) DCNN model (PPG) 10 min. max or as much as tolerated 12-lead ECG All participants: 69.3 ± 13.0
AF: 74.3 ± 12.5
Non-AF: 67.8 ± 13.0
All participants: 46%
AF: 51.4%
Non-AF: 44.8%
453 105 348 (no-AF) Control group 98 342 6 7 Excluded
Tison et al., 2018 [30] Inpatients Case–control selected cross-sectional study Apple Watch Optimized Cardiogram app (PPG) 20 min prior- and 20 min post-cardioversion 12-lead ECG All participants: 66.1 ± 10.7 All participants: 16% 51 51 51 (SR) Excluded from study 50 46 5 1 0%
Väliaho et al., 2019 (A) [36] Inpatients Case–control selected cross-sectional study Empatica E4 wrist band MATLAB® software version R2017b using AFEvidence or COSEn (PPG) 5 min 3-lead Holter AF: 72.0 ± 14.3 years
SR: 54.5 ± 18.6 years
AF: 42.5%
SR: 44.9%
213 106 107 (SR) Excluded from study 102 105 2 4 Excluded
Väliaho et al., 2019 (B) [36] Inpatients Case–control selected cross-sectional study Empatica E4 wrist band MATLAB® software version R2017b using AFEvidence or COSEn (PPG) 5 min 3-lead Holter AF: 72.0 ± 14.3 years
SR: 54.5 ± 18.6 years
AF: 42.5%
SR: 44.9%
213 106 107 (SR) Excluded from study 101 105 2 5 Excluded
Väliaho et al., 2021 (A) [41] Inpatients Case–control selected cross-sectional study Empatica E4 wrist band MATLAB® software (version R2017b) with a novel autocorrelation (AC) feature (PPG) 1 min every 10 min, 20 min, 30 min, 60 min 3-lead Holter AF: 77.1 ± 9.7
SR: 67.3 ± 15.8
AF: 46.1%
SR: 55.7%
173 76 97 (SR) Unclear 75 79 18 1 0%
Väliaho et al., 2021 (B) [41] Inpatients Case–control selected cross-sectional study Empatica E4 wrist band MATLAB® software (version R2017b) with a novel autocorrelation (AC) feature (PPG) 1 min every 10 min, 20 min, 30 min, 60 min 3-lead Holter AF: 77.1 ± 9.7
SR: 67.3 ± 15.8
AF: 46.1%
SR: 55.7%
173 76 97 (SR) Unclear 75 87 10 1 0%
Väliaho et al., 2021 (C) [41] Inpatients Case–control selected cross-sectional study Empatica E4 wrist band MATLAB® software (version R2017b) with a novel autocorrelation (AC) feature (PPG) 1 min every 10 min, 20 min, 30 min, 60 min 3-lead Holter AF: 77.1 ± 9.7
SR: 67.3 ± 15.8
AF: 46.1%
SR: 55.7%
173 76 97 (SR) Unclear 72 94 3 4 0%
Väliaho et al., 2021 (D) [41] Inpatients Case–control selected cross-sectional study Empatica E4 wrist band MATLAB® software (version R2017b) with a novel autocorrelation (AC) feature (PPG) 1 min every 10 min, 20 min, 30 min, 60 min 3-lead Holter AF: 77.1 ± 9.7
SR: 67.3 ± 15.8
AF: 46.1%
SR: 55.7%
173 76 97 (SR) Unclear 70 96 1 6 0%
Chan et al., 2016 (A) [32] Outpatients Cohort selected cross-sectional study iPhone 4S Cardiio Rhythm smartphone application (Cardiio Inc.) (PPG) 51.3 s single-lead ECG All participants: 68.4 ± 12.2 All participants: 53.2% 1013 28 985 (non-AF) Excluded from study 26 963 22 2 0%
Dörr et al., 2019 (A) [37] Inpatients Case–control selected cross-sectional study Gear Fit 2, Samsung Heartbeats application (Preventicus GmbH, Jena, Germany) (PPG) 1 min, 3 min and 5 min single-lead ECG All participants: 76.4 ± 9.5
AF: 77.4 ± 9.1
SR: 75.6 ± 9.8
All participants: 44.3%
SR: 46.1%
AF: 42.2%
650 237 271 (SR) Excluded from study 222 266 5 15 21.8%
Dörr et al., 2019 (B) [37] Inpatients Case–control selected cross-sectional study Gear Fit 2, Samsung Heartbeats application (Preventicus GmbH, Jena, Germany) (PPG) 1 min, 3 min and 5 min single-lead ECG All participants: 76.4 ± 9.5
AF: 77.4 ± 9.1
SR: 75.6 ± 9.8
All participants: 44.3%
SR: 46.1%
AF: 42.2%
650 204 243 (SR) Excluded from study 191 235 8 13 31.2%
Dörr et al., 2019 (C) [37] Inpatients Case–control selected cross-sectional study Gear Fit 2, Samsung Heartbeats application (Preventicus GmbH, Jena, Germany) (PPG) 1 min, 3 min and 5 min single-lead ECG All participants: 76.4 ± 9.5
AF: 77.4 ± 9.1
SR: 75.6 ± 9.8
All participants: 44.3%
SR: 46.1%
AF: 42.2%
650 167 202 (SR) Excluded from study 156 198 4 11 43.2%
Lubitz et al., 2022 [31] Outpatients Cohort selected cross-sectional study Fitbit device Fitbit app (PPG) 1 week single-lead ECG All participants *:
≥75 years: 9.7%
65–74 years: 33.2%
55–64 years: 37.4%
40–54 years: 16.6%
22–39 years: 6.1%
All participants: 48.2% 1057 340 717 (non-AF) AF group 230 706 11 110 0%
Badertscher et al., 2022 [42] - Cohort selected cross-sectional study Withings Scanwatch Withings Scanwatch detection algorithm (single-lead ECG) 30 s 12-lead ECG All participants: 67 (54–76 years) All participants: 48% 319 34 285 (SR) No comment 19 247 3 6 13.8%
Bumgarner MD et al., 2018 [43] Inpatients Case–control selected cross-sectional study Kardia Band Kardia Band detection algorithm (single-lead ECG) 30 s 12-lead ECG All participants: 68.2 ± 10.86 All participants: 17% 169 91 78 (SR) In AF group 63 37 7 5 33.7%
Campo et al., 2022 [44] Inpatients and outpatients Case–control selected cross-sectional study Withings Scanwatch Withings Scanwatch detection algorithm (single-lead ECG) 30 s 12-lead ECG All participants: 67.7 ± 14.8
AF: 74.3 ± 12.3
SR: 61.8 ± 14.3
Other arrhythmias: 66.9 ± 15.2
Unreadable ECGs: 78.8 ± 12.5
All participants: 61.1% AF: 42%
SR: 34.5%
Other arrhythmias: 40%
Unreadable ECGs: 75%
258 87 155 (non-AF) Control group 77 144 11 10 6.2%
Chen et al., 2020 (B) [40] Inpatients and outpatients Cohort selected cross-sectional study Amazfit Health Band 1S RealBeats Artificial Intelligence Biological Data Engine (Huami Technology) (single-lead ECG) 60 s 12-lead ECG AF: 70.4 ± 11.5
Non-AF: 59.3 ± 14.8
AF: 43.3%
Non-AF: 52.6%
401 150 25 (non-AF) No comment 131 249 0 6 3.7%
Cunha et al., 2020 [45] Inpatients Cohort selected cross-sectional study Kardia® mobile Kardia® mobile algorithm (single-lead ECG) 30 s 12-lead ECG - - 129 22 78 (SR) No comment 20 76 2 2 22.4%
Desteghe et al., 2017 (A) [46] Inpatients Cohort selected cross-sectional study AliveCor AliveCor algorithm (single-lead ECG) 30 s 12-lead ECG All participants: 67.9 ± 14.6
AF: 73.1 ± 12.2
SR: 65.1 ± 15.0
All participants: 43.1%
AF: 51.8%
SR: 38.3%
265 22 243 (SR) In AF group 12 237 6 10 0%
Desteghe et al., 2017 (B) [46] Inpatients Cohort selected cross-sectional study MyDiagnostick MyDiagnostick algorithm (single-lead ECG) 60 s 12-lead ECG All participants: 67.9 ± 14.6
AF: 73.1 ± 12.2
SR: 65.1 ± 15.0
All participants: 43.1%
AF: 51.8%
SR: 38.3%
265 22 243 (SR) In AF group 18 229 14 4 0%
Desteghe et al., 2017 (C) [46] Inpatients Cohort selected cross-sectional study AliveCor AliveCor algorithm (single-lead ECG) 30 s 6-lead ECG - - 113 19 94 (SR) In AF group 15 92 2 4 0%
Desteghe et al., 2017 (D) [46] Inpatients Cohort selected cross-sectional study MyDiagnostick MyDiagnostick algorithm (single-lead ECG) 60 s 6-lead ECG - - 113 19 94 (SR) In AF group 17 90 4 2 0%
Ford et al., 2022 (A) [10] outpatients Case–control selected cross-sectional study Apple Watch 4 Apple Watch 4 algorithm (single-lead ECG) 30 s 12-lead ECG All participants: 76 ± 7 All participants: 38% 125 31 94 (SR) In AF group 6 76 0 6 29.6%
Ford et al., 2022 (B) [10] outpatients Case–control selected cross-sectional study KardiaBand KardiaBand algorithm (single-lead ECG) 30 s 12-lead ECG All participants: 76 ± 7 All participants: 38% 125 31 94 (SR) In AF group 26 68 5 1 20%
Fu et al., 2021 (A) [47] - Case–control selected cross-sectional study Wearable Dynamic ECG Recorder Amazfit CardiDoc application (single-lead ECG) 60 s 12-lead ECG All participants: 59 ± 11.16
AF: 64.00 ± 9.38 SR:55.15 ± 11.01
All participants: 34%
AF: 45.3%
SR: 41%
114 53 61 (SR) Excluded 47 61 0 4 1.8%
Fu et al., 2021 (B) [47] - Case–control selected cross-sectional study Wearable Dynamic ECG Recorder Amazfit CardiDoc application (single-lead ECG) 60 s 12-lead ECG All participants: 59 ± 11.16
AF: 64.00 ± 9.38 SR:55.15 ± 11.01
All participants: 34%
AF: 45.3%
SR: 41%
114 53 61 (SR) Excluded 50 61 0 2 0.9%
Fu et al., 2021 (C) [47] - Case–control selected cross-sectional study Wearable Dynamic ECG Recorder Amazfit CardiDoc application (single-lead ECG) 60 s 12-lead ECG All participants: 59 ± 11.16
AF: 64.00 ± 9.38 SR:55.15 ± 11.01
All participants: 34%
AF: 45.3%
SR: 41%
114 53 61 (SR) Excluded 50 61 0 2 0.9%
Van Haelst et al., 2018 (B) [11] Outpatients Cohort selected cross-sectional study AliveCor AliveCor algorithm (single-lead ECG) 30 s 12-lead ECG All patients: 77.3 ± 8.0
AF: 78.8 ± 8.0
Non-AF: 75.9 ± 7.9
All participants: 57.4%
AF: 51.1%
No AF: 63.3%
190 75 93 (non-AF) In AF group 73 83 10 2 19.3%
Himmelreich JCL et al., 2019 [48] Outpatients Cohort selected cross-sectional study KardiaMobile KardiaMobile (AliveCor, Inc.) algorithm (single-lead ECG) 30 s 12-lead ECG All participants: 64.1 ± 14.7 All participants: 46.3% 214 23 191 (SR) In AF group 20 187 4 0 1.4%
Lown et al., 2018 (A) [49] Outpatients Case–control selected cross-sectional study AliveCor AliveCor (Kardia version 4.7.0) algorithm (single-lead ECG) 30 s 12-lead ECG All participants: 73.9 ± 6.1 - 418 82 336 (non-AF) In AF group 72 332 2 2 2.4%
Rajakariar et al., 2020 [50] Inpatients Cohort selected cross-sectional study KardiaBand AliveCor Kardia application V.5.0.2 (AliveCor, Mountain View, CA, USA) (single-lead ECG) 30 s 12-lead ECG All participants: 67 ± 16
AF: 76 ± 11
SR: 64 ± 17
All participants: 43.5%
AF: 48%
SR: 36%
200 38 162 (SR) No comment 36 124 13 2 12.5%
Santala et al., 2021 (1) [41] Inpatients Case–control selected cross-sectional study Suunto Movesense, Suunto, Vantaa, Finland (heart belt) Awario, Heart2Save, Kuopio, Finland (single-lead ECG) 24 h 12-lead ECG AF: 77 ± 10
SR: 68 ± 16
AF: 48%
SR: 60%
159 73 86 (SR) No comment 73 82 4 0 0%
Santala et al., 2021 (2) (A) [51] Inpatients Case–control selected cross-sectional study single-lead Necklace-embedded ECG recorder (Including Movesense ECG-sensor, Suunto, Vantaa, Finland, Necklace-ECG) Awario, Heart2Save, Kuopio, Finland (single-lead ECG) 30 s 3-lead Holter ECG AF (years): 72.7 ± 14.1
SR (years): 61.5 ± 18.1
AF: 56.1%
SR: 53.2%
145 66 79 (SR) No comment 54 78 0 3 6.9%
Santala et al., 2021 (2) (B) [51] Inpatients Case–control selected cross-sectional study single-lead Necklace-embedded ECG recorder (Including Movesense ECG-sensor, Suunto, Vantaa, Finland, Necklace-ECG) Awario, Heart2Save, Kuopio, Finland (single-lead ECG) 30 s 3-lead Holter ECG AF (years): 72.7 ± 14.1
SR (years): 61.5 ± 18.1
AF: 56.1%
SR: 53.2%
145 66 79 (SR) No comment 58 75 0 1 7.6%
Santala et al., 2022 [52] Inpatients Case–control selected cross-sectional study Firstbeat Bodyguard 2, Firstbeat Technologies Awario, Heart2Save (single-lead ECG) 24 h 3-lead Holter ECG AF: 77 ± 10
SR: 68 ± 15
AF: 47%
SR: 60%
178 79 99 (SR) No comment 79 94 5 0 0%
Abu-Alrub et al., 2022 (A) [53] - Case–control selected cross-sectional study Apple Watch Series 5® Apple Watch Series 5® (single-lead ECG) 30 s 12-lead ECG All participants: 62 ± 7 All participants: 44% 200 100 100 (SR) Excluded 87 86 1 7 9.5%
Abu-Alrub et al., 2022 (B) [53] - Case–control selected cross-sectional study Samsung Galaxy Watch Active 3® Samsung Galaxy Watch Active 3® (single-lead ECG) 30 s 12-lead ECG All participants: 62 ± 7 All participants: 44% 200 100 100 (SR) Excluded 88 81 6 5 10%
Abu-Alrub et al., 2022 (C) [53] - Case–control selected cross-sectional study Withings Move ECG® Withings Move ECG® algorithms (single-lead ECG) 30 s 12-lead ECG All participants: 62 ± 7 All participants: 44% 200 100 100 (SR) Excluded 78 80 3 2 18.5%
Wegner et al., 2020 (A) [54] Inpatients Cohort selected cross-sectional study AliveCor Kardia ECG monitor AliveCor Kardia ECG monitor algorithm (single-lead ECG) 30 s 12-lead ECG All participants: 64 ± 15 All participants: 38.4% 92 27 65 (SR) In AF group 19 45 8 0 21.7%
Wegner et al., 2020 (B) [54] Inpatients Cohort selected cross-sectional study AliveCor Kardia ECG monitor AliveCor Kardia ECG monitor algorithm (single-lead ECG) 30 s 12-lead ECG All participants: 64 ± 15 All participants: 38.4% 92 27 65 (SR) In AF group 15 39 3 0 38%
William et al., 2018 [55] Inpatients Case–control selected cross-sectional study Kardia Mobile Cardiac Monitor Kardia Mobile Cardiac Monitor (single-lead ECG) 30 s 12-lead ECG All participants: 68.1 [42.6–85.6] All participants: 32.7% 223 80 143 (SR) In AF group 57 96 6 2 27.8%
Chan et al., 2016 (B) [32] Outpatients Cohort selected cross-sectional study 1st generation; AliveCor Inc. AliveECG application (version 2.2.2) (single-lead ECG) 30 s single-lead interpreted by cardiologists All participants: 68.4 ± 12.2 All participants: 53.2% 1013 28 (AF) 985 (non-AF) In control group 20 979 6 8 0%
Dörr et al., 2019 (D) [37] Inpatients Case–control selected cross-sectional study AliveCor Kardia system Heartbeats application (Preventicus GmbH, Jena, Germany) (single-lead ECG) 30 s single-lead interpreted by cardiologists All participants: 76.4 ± 9.5
AF: 77.4 ± 9.1
SR: 75.6 ± 9.8
All participants: 44.3%
SR: 46.1%
AF: 42.2%
650 319 331 (SR) Excluded 279 262 7 1 15.5%
Orchard et al., 2016 [56] Outpatients Cohort selected cross-sectional study AliveCor Heart Monitor AliveCor Heart Monitor algorithm (single-lead ECG) 30 s single-lead interpreted by cardiologists - - 972 38 934 (SR) Excluded 36 844 8 2 8.4%
Leńska-Mieciek et al., 2022 [57] Inpatients Cohort selected cross-sectional study Kardia Mobile portable device (AliveCor Inc., San Francisco, CA, USA) AliveCor app. (single-lead ECG) 30 s Single-lead ECG interpreted by cardiologist All participants: 64.44 ± 10.52 All participants: 48% 50 1 49 (non-AF) No comment 1 42 7 0 0%
Lown et al., 2018 (B) [49] Outpatients Case–control selected cross-sectional study WatchBP WatchBP algorithm (modified sphygmomanometer) - 12-Lead ECG All participants: 73.9 ± 6.1 - 418 82 336 (No AF) In AF group 79 314 22 3 -
Lown et al., 2018 (C) [49] Outpatients Case–control selected cross-sectional study Polar H7 PH7: (A Real-Time Atrial Fibrillation Detection Algorithm Based on the Instantaneous State of Heart Rate) (ECG data sensor) - 12-Lead ECG All participants: 73.9 ± 6.1 - 418 82 336 (No AF) In AF group 79 330 6 3 -
Lown et al., 2018 (D) [49] Outpatients Case–control selected cross-sectional study Bodyguard 2 BG2 (A Real-Time Atrial Fibrillation Detection Algorithm Based on the Instantaneous State of Heart Rate) (heart rate variability) - 12-Lead ECG All participants: 73.9 ± 6.1 - 418 82 336 (No AF) In AF group 79 331 5 3 -
Reverberi et al., 2019 [58] Inpatients Case–control selected cross-sectional study consumer-grade Bluetooth low-energy (BLE) HR monitor, of the chest-strap type RITMIA™ (Heart Sentinel srl, Parma, Italy) (HR monitor) - 12-lead ECG All participants: 66.2 ± 10.7 All participants: 21.5% 182 ** 99 83 (non-AF) Excluded 96 79 4 3 -
Chen et al., 2020 (C) [40] Inpatients and outpatients Case–control selected cross-sectional study Amazfit Health Band 1S (Huami Technology, Anhui, China) RealBeats Artificial Intelligence Biological Data Engine (Huami Technology) (PPG combined with single-lead ECG) - 12-lead ECG AF: 70.4 ± 11.5
Non-AF: 59.3 ± 14.8
AF: 43.3%
Non-AF: 52.6%
401 150 251 (non-AF) Unclear - - - - -

(N: number of participants; AF: Atrial Fibrillation; SR: Sinus Rhythm; AFL: Atrial Flutter; SD: standard deviation; * age distribution; ECG: electrocardiogram; DCNN: deep convolutional neural networks; rPPG: remote photoplethysmography; min: minutes; max: maximum; app: application; s: seconds; TP: true positive; TN: true negative; FP: false positive; FN: false negative; x (): median age (interquartile range); x []: average age [min. age–max. age]; Väliaho et al., 2019 (A): testing the AFEvidence algorithm; Chen et al., 2020 (A): testing PPG device; Chen et al., 2020 (B): testing single-lead ECG device; Chen et al. (C): testing combination of PPG and single-lead ECG; Väliaho et al., 2019 (B): testing the COSEn algorithm; Väliaho et al., 2021 (A): testing device performance when time interval between every measurement is 10 min; Väliaho et al., 2021 (B): testing device performance when time interval between every measurement is 20 min; Väliaho et al., 2021 (C): testing device performance when time interval between every measurement is 30 min; Väliaho et al., 2021 (D): testing device performance when time interval between every measurement is 60 min; Dörr et al., 2019 (A): testing performance of device when recording for 1 min; Dörr et al., 2019 (B): testing performance of device when recording for 3 min; Dörr et al., 2019 (C): testing performance of device when recording for 5 min; Dörr et al. (D): testing AliveCor; Desteghe et al., 2017 (A): testing the AliveCor in the cardiology ward population; Desteghe et al., 2017(B): testing the MyDiagnostick in the cardiology ward population; Desteghe et al., 2017 (C): testing the AliveCor in the geriatric ward population; Desteghe et al., 2017 (D): testing the MyDiagnostick in the geriatric ward population; Ford et al., 2022 (A): testing the Apple Watch 4; Ford et al., 2022 (B): testing the KardiaBand; Fu et al., 2021 (A): testing the device in supine position; Fu et al., 2021 (B): testing the device in upright position; Fu et al., 2021 (C): testing the device after individuals climbed to the 3rd floor; Van Haelst et al., 2018 (A): testing PPG device; Van Haelst et al., 2018 (B): testing single-lead ECG device; Santala et al., 2021 (1): published in October 2021; Santala et al., 2021 (2) (A): published in May 2021 and testing the device between the palms; Santala et al., 2021 (2) (B): published in May 2021 and testing the device in the chest; Abu-Alrub et al., 2022 (A): testing the Apple Watch 5; Abu-Alrub et al., 2022 (B): testing the Samsung Galaxy Watch Active 3; Abu-Alrub et al., 2022 (C): testing the Withings Move ECG; Wegner et al., 2020 (A): testing the lead I; Wegner et al., 2020 (B): testing the novel parasternal lead; Chan et al., 2016 (A): testing PPG device; Chan et al., 2016 (B): testing single-lead ECG device; Lown et al. (A): testing AliveCor; Lown et al., 2018 (B): testing the Watch BP; Lown et al., 2018 (C): testing the Polar H7 device; Lown et al., 2018 (D): testing the Bodyguard 2 device; ** N refers to ECGs before and after cardioversion.