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. 2020 Apr 29;17(9):3093. doi: 10.3390/ijerph17093093

Table 2.

A summary of automated AF detection in RR interval signals.

Authors Data Digital Biomarkers AI Performance in % Salient Features
Acc Sen Spe
Ivanovic et al., 2019 [181] Measurement data - DL 89.67 94.20 -
  • +

    Three class problem

  • +

    Cross-validation used

  • +

    Detailed model description

  • No signal detrending

  • No benchmark data

Anderson et al., 2019 [197] MIT-BIH NSR/AFDB/Arrhythmia Database - CNN and RNN - 98.98% 96.95%
  • +

    Three databases

  • +

    Cross-validation used

  • No signal detrending

Faust et al., 2018 [182] MIT-BIH AFDB - LSTM 98.51 98.32 98.67
  • +

    First deep learning detector based on RR intervals

  • No signal detrending

  • One database

Henzel et al., 2017 [198] MIT-BIH AFDB Linear measures Threshold 93 90 95
  • +

    Insight into digital biomarkers

  • No AI

  • One database

Cui et al., 2017 [199] MIT-BIH NSR/AFDB Ensemble model Threshold 97.78 97.04 97.96
  • +

    Insight into digital biomarkers

  • +

    Two databases

  • No AI

Islam et al., 2016 [200] MIT-BIH AFDB Entropy Threshold 96.38 96.39 96.38
  • +

    Insight into digital biomarkers

  • No AI

  • One database

García et al., 2016 [201] MIT-BIH AFDB/Arrhythmia Database RWE, SWT Threshold 93.32 91.21 94.53
  • +

    Insight into digital biomarkers

  • +

    Two databases

  • No AI

Kennedy et al., 2016 [202] SPIT1, THEW2, MIT-BIH Arrhythmia Database/AFDB/ LTAFDB/NSR/SVA Sample entropy, CV, RMSSD, MAD RF - 92.80 98.30
  • +

    Most data

  • +

    Cross-validation

  • Traditional machine learning was used to gain insight into digital biomarkers

Petrėnas et al., 2015 [203] MIT-BIH NSR/AFDB Linear measures Threshold - 97.1 98.3
  • +

    Insight into digital biomarkers

  • +

    Two databases

  • No AI

Andersson et al., 2014 [204] MIT-BIH Arrhythmia Database/AFDB Statistical measures Threshold - 94.6 95.8
  • +

    Insight into digital biomarkers

  • +

    Two databases

  • No AI

Zhou et al., 2014 [205] MIT-BIH Arrhythmia Database/AFDB/NSR Shannon entropy Threshold 96.05 96.72 95.07
  • +

    Insight into digital biomarkers

  • +

    Two databases

  • No AI

Lee et al., 2013 [136] MIT-BIH Arrhythmia Database/NSR TVCF, Shannon entropy Threshold - 98.20 97.70
  • +

    Insight into digital biomarkers

  • +

    Two databases

  • No AI

Lake and Moorman 2011 [69] MIT-BIH AFDB Sample entropy Threshold - 91 94
  • +

    Insight into digital biomarkers

  • No AI

  • One database

Lian et al., 2011 [68] MIT-BIH Arrhythmia Database/AFDB/ NSR/NSR2 Statistical measures Threshold - 95.9 -
  • +

    Insight into digital biomarkers

  • +

    Three databases

  • No AI

Lake and Moorman 2011 [69] MIT-BIH AFDB Sample entropy Threshold - 91 94
  • +

    Insight into digital biomarkers

  • No AI

  • One database

Mohebbi et al., 2011 [206] MIT-BIH AFDB RQA, recurrence plot SVM - 97.00 100.00
  • +

    Insight into digital biomarkers

  • One database

Yaghouby et al., 2010 [67] MIT-BIH Arrhythmia Database Statistical and geometrical Genetic algorithm 99.11 - -
  • +

    Insight into digital biomarkers

  • One database

Huang et al., 2010 [86] MIT-BIH AFDB/NSR Linear Threshold - 96.10 98.10
  • +

    Insight into digital biomarkers

  • +

    Two databases

  • No AI

Dash et al., 2009 [63] MIT-BIH AFDB TPR, RMSSD, Shannon entropy Threshold - 90.20 - 94.40 91.20 - 95.10
  • +

    Insight into digital biomarkers

  • No AI

  • One database

Babaeizadeh et al., 2009 [64] MIT-BIH AFDB Statistical measures DT - 98 -
  • +

    Insight into digital biomarkers

  • One database

Ghodrati and Marinello, 2008 [207] MIT-BIH Arrhythmia Database Probability density function Threshold - 92 -
  • +

    Insight into digital biomarkers

  • No AI

  • One database

Ghodrati et al., 2008 [208] Measurement data, MIT-BIH Arrhythmia Database/AFDB Normalized absolute deviation and normalized absolute difference Threshold - 89 -
  • +

    Insight into digital biomarkers

  • +

    Two databases

  • No AI

Kikillus et al., 2007 [209] MIT-BIH NSR/AFDB Linear, Frequency and RQA Threshold - 94.1 93.4
  • +

    Insight into digital biomarkers

  • +

    Two databases

  • No AI

Logan and Healey, 2005 [210] MIT-BIH AFDB Statistical measures Threshold - 94.4 97.2
  • +

    Insight into digital biomarkers

  • No AI

  • One database

Tateno and Glass, 2001 [211] MIT-BIH AFDB CV & Kolmogorov–Smirnov test Threshold - 91.20 96.08
  • +

    Insight into digital biomarkers

  • No AI

  • One database

Artis et al., 1991 [212] MIT-BIH AFDB Statistical measures ANN - 92.86 -
  • +

    Insight into digital biomarkers

  • No AI

  • One database

  • No validation

1 No further information on the database provided in the paper, 2 (web page (13.04.2020): http://thew-project.org/).