[13] |
2008 |
0 |
0 |
Average filter, PCA, Linear regression |
74.6 |
Virtex 6 |
2420 |
1.11 |
Online |
[49] |
2010 |
1 |
0 |
FIR, DWT, SVM |
N/I |
Compact-RIO |
N/I |
12.81 |
Offline |
[51] |
2015 |
1 |
0 |
Theta spectra, threshold |
71 |
FPGA Mobile tablet |
N/I |
4 |
Online |
[52] |
2010 |
1 |
0 |
STFFT, ICA, threshold |
78.24 |
DSP |
N/I |
1.11 |
Online |
[53] |
2017 |
0 |
0 |
FFT, threshold |
99.4 |
Micro2440SDK |
∼8500 |
24 |
Online |
[54] |
2013 |
1 |
0 |
IIR, DWT, threshold hierarchical model |
91 |
CompactDAQ |
2 |
12 |
Online |
[55] |
2016 |
0 |
1 |
DWT, SVM |
82.1 |
Odroid-xu4 |
0.11 |
20 |
Offline |
[56] |
2017 |
0 |
0 |
Band-pass filter, average power, temporal correlation |
70 |
Arduino Due MCU |
2.23 |
1 |
Offline |
[57] |
2014 |
0 |
0 |
FFT, SLIC |
70 |
Micro2440 (ARM) |
0.1 |
24 |
Offline |
[58] |
2017 |
0 |
1 |
ERD/ERS, Adaptive Threshold |
75 |
Zynq ZC7030 |
402 |
4.12 |
Online, offline |
[59] |
2014 |
0 |
1 |
FFT, Mahalanobis distance |
82 |
Blackfin, DSP |
N/I |
4.02 |
Online |
[60] |
2014 |
0 |
0 |
FFT |
98.8 |
AT89S51, Tablet (AUSU) |
42 |
12 |
Online |
[48] |
2010 |
0 |
0 |
Phase coding, FFT |
89.29 |
Cyclone EP2C20Q FPG |
30.14 |
∼27 |
Online |
[61] |
2012 |
1 |
0 |
FFT, Mardia test, Mahalanobis distance (MD) |
77.6 |
Cyclone EP2C20Q FPG |
30.14 |
∼27 |
Online |
[14] |
2012 |
1 |
0 |
Threshold |
61.6 |
iPhone |
32 |
∼6 |
Online |
[62] |
2012 |
0 |
0 |
FFT, Morlet Continuous Wavelet, Threshold |
N/I |
Spartan3 XC3S1400AN |
1 |
N/I |
Online |
[63] |
2011 |
0 |
0 |
PSD, LDA |
73.58 |
ASIC, MSP430F1611, NRF24L |
200 |
0.001395 |
Online |
[23] |
2017 |
1 |
1 |
Adaptive filter, CSP, MD |
94.47 |
Stratix-IV |
394 |
1.067 |
Offline |
[64] |
2018 |
1 |
1 |
WOLA filter bank, CSP, MD |
80.2 |
Stratix-IV |
430 |
0.67 |
Online, Offline |
[65] |
2012 |
0 |
0 |
Forward Filter, FLDA |
73.96 |
Spartan 3E FPGA |
N/I |
N/I |
Online |
[66] |
2012 |
0 |
0 |
FIR filterbank, Hidden Markov Models |
76.5 |
Spartan 6 FPGA |
N/I |
N/I |
Online |
[67] |
2016 |
1 |
0 |
adaptive filtering |
N/I |
FPGA Virtex-5 LX50T |
N/I |
N/I |
Online |
[68] |
2020 |
0 |
0 |
PSD, band-pass filtering, canonical correlation analysis (CCA) |
80 |
XC7K325T-2FFG900C |
N/I |
N/I |
Online |
[69] |
2017 |
0 |
0 |
Median, FIR filter, FLDA |
N/I |
Virtex-5 |
0.01 |
0.67 |
Online |
[70] |
2015 |
0 |
0 |
ICA, Canonical Correlation Analysis (CCA) |
86.5 |
FPGA |
32000 |
N/I |
Online |
[71] |
2016 |
0 |
0 |
Blind Source Separation (BSS), CCA |
93.41 |
FPGA |
N/I |
N/I |
Online |
[72] |
2018 |
0 |
0 |
Sparse Bayesian Learning (BSBL), multi-layer perceptron regressor |
89.85 |
Virtex7, ARM |
N/I |
N/I |
Online |
[47] |
2019 |
0 |
1 |
CNN |
80.5 |
Xilinx BNN-PYNQ |
1.97 |
0.025 |
Offline |
[73] |
2015 |
0 |
0 |
FFT, Threshold |
88.88 |
Xilinx & PC Tablet |
4430 |
70 |
Online |
[74] |
2018 |
1 |
0 |
Surface Laplacian, Separable Common Spatio Spectral Pattern (SCSSP), Mutual Information (MI), Linear Discriminant Analysis (LDA), and Support Vector Machine (SVM) |
81.9 |
Virtex-6 FPGA |
0.550 |
83 |
Online & offline |
[75] |
2020 |
0 |
0 |
FIR filter, averaging method |
90.62 |
Cyclone II EP2C35 DSP |
∼2000 |
∼27 |
Online |
[76] |
2019 |
1 |
0 |
Channel selection, wavelet, energy normalization, LDA |
80 |
Xilinx |
7.5 |
0.102 |
Offline |
[77] |
2013 |
0 |
0 |
FFT, threshold |
92.5 |
FPGA, MCP3201 microcontroller |
5200 |
1.74 |
Online |
[78] |
2020 |
0 |
0 |
Canonical correlation analysis (CCA) |
76 |
DE0-nano board |
0.00052 |
∼0.05 |
Online |
[79] |
2019 |
0 |
0 |
CCA |
87.89 |
Cyclone IV EP4CE115 |
1500 |
∼0.05 |
Offline |
[80] |
2020 |
0 |
0 |
Long Short-Term Memory (LSTM) |
87.89 |
MindReading photonic ULQ |
1500 |
0.2155 |
Offline |
[81] |
2019 |
0 |
0 |
bandpass Butterworth filter, DWT, Feedforward Neural Network (FFNN) |
96.09 |
Raspberry Pi 3B |
N/I |
5.77 |
Online |