Research graph
References from From reproducible processing to valid inference: A role-specific framework across open ECG, BVP, and EDA datasets. Local targets link to admitted publications; unresolved targets remain external evidence.
PhysioBank, PhysioToolkit, and PhysioNet: components of a new research resource for complex physiologic signals
10.1161/01.cir.101.23.e215 · 2000 · External reference
10.1161/01.cir.93.5.1043
10.1161/01.cir.93.5.1043 · External reference
Advances in heart rate variability signal analysis: Joint position statement by the e-cardiology ESC working group and the European Heart Rhythm Association
10.1093/europace/euv015 · 2015 · External reference
Heart rate variability and cardiac vagal tone in psychophysiological research—recommendations for experiment planning, data analysis, and data reporting
10.3389/fpsyg.2017.00213 · 2017 · External reference
Guidelines for reporting articles on psychiatry and heart rate variability (GRAPH): Recommendations to advance research communication
10.1038/tp.2016.73 · 2016 · External reference
A quantitative systematic review of normal values for short-term heart rate variability in healthy adults
10.1111/j.1540-8159.2010.02841.x · 2010 · External reference
An overview of heart rate variability metrics and norms
10.3389/fpubh.2017.00258 · 2017 · External reference
Detecting stress during real-world driving tasks using physiological sensors
10.1109/tits.2005.848368 · 2005 · External reference
Continuous stress detection using wearable sensors in real life: algorithmic programming contest case study
10.3390/s19081849 · 2019 · External reference
Review on psychological stress detection using biosignals
10.1109/taffc.2019.2927337 · 2022 · External reference
A real-time QRS detection algorithm
10.1109/tbme.1985.325532 · 1985 · External reference
Quantitative investigation of QRS detection rules using the MIT/BIH arrhythmia database
10.1109/tbme.1986.325695 · 1986 · External reference
How accurate is pulse rate variability as an estimate of heart rate variability? A review on studies comparing photoplethysmographic technology with an electrocardiogram
10.1016/j.ijcard.2012.03.119 · 2013 · External reference
Investigating sources of inaccuracy in wearable optical heart rate sensors
10.1038/s41746-020-0226-6 · 2020 · External reference
The problem of pseudoreplication in neuroscientific studies: is it affecting your analysis?
10.1186/1471-2202-11-5 · 2010 · External reference
The need to approximate the use-case in clinical machine learning
10.1093/gigascience/gix019 · 2017 · External reference
Cross-validation failure: small sample sizes lead to large error bars
10.1016/j.neuroimage.2017.06.061 · 2018 · External reference
Age-related alterations in the fractal scaling of cardiac interbeat interval dynamics
10.1152/ajpregu.1996.271.4.r1078 · 1996 · External reference
A non-EEG biosignals dataset for assessment and visualization of neurological status
2016 · External reference
Wearable device dataset from induced stress and structured exercise sessions
2025 · External reference
Wearable physiological signals under acute stress and exercise conditions
10.1038/s41597-025-04845-9 · 2025 · External reference
NeuroKit2: a Python toolbox for neurophysiological signal processing
10.3758/s13428-020-01516-y · 2021 · External reference
HeartPy: a novel heart rate algorithm for the analysis of noisy signals
10.1016/j.trf.2019.09.015 · 2019 · External reference
On the analysis of fingertip photoplethysmogram signals
10.2174/157340312801215782 · 2012 · External reference
Innovations in electrodermal activity data collection and signal processing: a systematic review
10.3390/s20020479 · 2020 · External reference
Simple, transparent, and flexible automated quality assessment procedures for ambulatory electrodermal activity data
10.1109/tbme.2017.2758643 · 2018 · External reference
cvxEDA: a convex optimization approach to electrodermal activity processing
2016 · External reference
Signal-quality indices for the electrocardiogram and photoplethysmogram: derivation and applications to wireless monitoring
2015 · External reference
Do existing measures of Poincaré plot geometry reflect nonlinear features of heart rate variability?
10.1109/10.959330 · 2001 · External reference
Quantification of scaling exponents and crossover phenomena in nonstationary heartbeat time series
10.1063/1.166141 · 1995 · External reference
Twenty-four hour time domain heart rate variability and heart rate: relations to age and gender over nine decades
10.1016/s0735-1097(97)00554-8 · 1998 · External reference
Controlling the false discovery rate: a practical and powerful approach to multiple testing
10.1111/j.2517-6161.1995.tb02031.x · 1995 · External reference
Scikit-learn: machine learning in Python
2011 · External reference
pyphysio: a physiological signal processing library for data science approaches in physiology
10.1016/j.softx.2019.100287 · 2019 · External reference
PhysioZoo: a novel open access platform for heart rate variability analysis of mammalian electrocardiographic data
10.3389/fphys.2018.01390 · 2018 · External reference
How accurate is pulse rate variability as an estimate of heart rate variability? A review on studies comparing photoplethysmographic technology with an electrocardiogram
10.1016/j.ijcard.2012.03.119 · ExternalCitation · doi-reference
Cross-validation failure: small sample sizes lead to large error bars
10.1016/j.neuroimage.2017.06.061 · ExternalCitation · doi-reference
pyphysio: a physiological signal processing library for data science approaches in physiology
10.1016/j.softx.2019.100287 · ExternalCitation · doi-reference
HeartPy: a novel heart rate algorithm for the analysis of noisy signals
10.1016/j.trf.2019.09.015 · ExternalCitation · doi-reference
Twenty-four hour time domain heart rate variability and heart rate: relations to age and gender over nine decades
10.1016/s0735-1097(97)00554-8 · ExternalCitation · doi-reference
Wearable physiological signals under acute stress and exercise conditions
10.1038/s41597-025-04845-9 · ExternalCitation · doi-reference
Investigating sources of inaccuracy in wearable optical heart rate sensors
10.1038/s41746-020-0226-6 · ExternalCitation · doi-reference
Guidelines for reporting articles on psychiatry and heart rate variability (GRAPH): Recommendations to advance research communication
10.1038/tp.2016.73 · ExternalCitation · doi-reference
Quantification of scaling exponents and crossover phenomena in nonstationary heartbeat time series
10.1063/1.166141 · ExternalCitation · doi-reference
Advances in heart rate variability signal analysis: Joint position statement by the e-cardiology ESC working group and the European Heart Rhythm Association
10.1093/europace/euv015 · ExternalCitation · doi-reference
The need to approximate the use-case in clinical machine learning
10.1093/gigascience/gix019 · ExternalCitation · doi-reference
Do existing measures of Poincaré plot geometry reflect nonlinear features of heart rate variability?
10.1109/10.959330 · ExternalCitation · doi-reference
Review on psychological stress detection using biosignals
10.1109/taffc.2019.2927337 · ExternalCitation · doi-reference
A real-time QRS detection algorithm
10.1109/tbme.1985.325532 · ExternalCitation · doi-reference
Quantitative investigation of QRS detection rules using the MIT/BIH arrhythmia database
10.1109/tbme.1986.325695 · ExternalCitation · doi-reference
Simple, transparent, and flexible automated quality assessment procedures for ambulatory electrodermal activity data
10.1109/tbme.2017.2758643 · ExternalCitation · doi-reference
Detecting stress during real-world driving tasks using physiological sensors
10.1109/tits.2005.848368 · ExternalCitation · doi-reference
A quantitative systematic review of normal values for short-term heart rate variability in healthy adults
10.1111/j.1540-8159.2010.02841.x · ExternalCitation · doi-reference
Controlling the false discovery rate: a practical and powerful approach to multiple testing
10.1111/j.2517-6161.1995.tb02031.x · ExternalCitation · doi-reference
Age-related alterations in the fractal scaling of cardiac interbeat interval dynamics
10.1152/ajpregu.1996.271.4.r1078 · ExternalCitation · doi-reference
PhysioBank, PhysioToolkit, and PhysioNet: components of a new research resource for complex physiologic signals
10.1161/01.cir.101.23.e215 · ExternalCitation · doi-reference
10.1161/01.cir.93.5.1043
10.1161/01.cir.93.5.1043 · ExternalCitation · doi-reference
The problem of pseudoreplication in neuroscientific studies: is it affecting your analysis?
10.1186/1471-2202-11-5 · ExternalCitation · doi-reference
On the analysis of fingertip photoplethysmogram signals
10.2174/157340312801215782 · ExternalCitation · doi-reference
PhysioZoo: a novel open access platform for heart rate variability analysis of mammalian electrocardiographic data
10.3389/fphys.2018.01390 · ExternalCitation · doi-reference
Heart rate variability and cardiac vagal tone in psychophysiological research—recommendations for experiment planning, data analysis, and data reporting
10.3389/fpsyg.2017.00213 · ExternalCitation · doi-reference
An overview of heart rate variability metrics and norms
10.3389/fpubh.2017.00258 · ExternalCitation · doi-reference
Continuous stress detection using wearable sensors in real life: algorithmic programming contest case study
10.3390/s19081849 · ExternalCitation · doi-reference
Innovations in electrodermal activity data collection and signal processing: a systematic review
10.3390/s20020479 · ExternalCitation · doi-reference
NeuroKit2: a Python toolbox for neurophysiological signal processing
10.3758/s13428-020-01516-y · ExternalCitation · doi-reference
