Table 2 Studies on photoplethysmography based AF detection using ML approaches.

From: Photoplethysmography based atrial fibrillation detection: a review

Author (year) [ref.]

Number of patients

Dataset features

Age of population

Length PPG segments

Measurement device

Acquisition conditions

Input data

Methodology

Performance results for rhythms detection

Shan et al. (2016)56

468 stroke patients

–

–

2 min

Bedside monitor

Inpatient

RR times series features. Mean, median, standard deviation, RMSSD, power in very low-frequency range, low frequency (LF), high frequency (HF), ratio of power in LF and HF (LF/HF), multi-scale entropy, Shannon entropy, Turning point ratio

Support vector machines

AUC = 0.971, Sen = 0.942, Acc = 0.957

M. Lemay et al. (2016)57

20

 

–

10 s

PPG wrist- based device

Inpatient

RR times series features mean, minimum, median, and interquartile range of RR

Support vector machine

Acc = 0.9385

V. Corino et al. (2017)58

70

30 with AF, 9 ARR, 31 NSR

40 ± 17, 76 ± 9, 65 ± 15

2 min

Empatica E4 wristband

Inpatient

RR times series features 24 features: spectral analysis, variability and irregularity analysis, PPG-waveform features

KNN classifier

NSR: Sen = 0.773, Sp = 0.928. AF: Sen = 0.754, Sp = 0.963. ARR: Sen = 0.758, Sp = 0.768

T. Schack et al. (2017)95

326

20 with AF, 294 of NSR, 12 of Noise

–

20 s

Video camera of smartphone

Inpatient

RR times series features Mean, median, standard deviation and the mean absolute deviation (MAD); RMSSD; normalized RMSSD; Shannon entropy. PPG-waveform features: mean, median, SD and MAD, crest time, peak rise height, fall height, waveform width, cross-correlation of consecutive pulse segments, very low frequency, low frequency, high frequency and quotients of these spectral powers

Support vector machines

Perfect detection of AF

S. Fallet et al. (2019)60

17

AF NSR ventricular arrhythmias (VA)

57 ± 13

10 s

Wrist-worn device

Inpatient

RR times series features: mean, standard deviation, median, interquartile, minimum, maximum, RMSSD. PPG-waveform features: adaptive organization index, variance of the slope of the phase difference, permutation entropy, spectral entropy, fractional spectral radius, and spectral purity index).

Decision trees

AF vs NSR: Acc = 0.981, Sen = 0.997, Sp = 0.924. AF vs VA: Acc = 0.959, Sen = 0.981, Sp = 0.887. AF vs (NSR&VA): Acc = 0.950, Sen = 0.962, Sp = 0.928

  1. RR R to R interval, NSR normal sinus rhythm, ARR other arrhythmias, VA ventricular arrhythmias, AUC area under the curve, Acc accuracy, Sen sensitivity, Sp specificity, PVC premature ventricular contractions, PAC premature atrial contraction