Please use the following conference paper to cite pyHRV in your work (Conference Paper [PDF], Conference Proceedings [PDF]):
P. Gomes, P. Margaritoff, and H. P. da Silva, “pyHRV: Development and evaluation of an open-source python toolbox for heart rate variability (HRV),” in Proc. Int’l Conf. on Electrical, Electronic and Computing Engineering (IcETRAN), pp. 822-828, 2019
@inproceedings{Gomes2019,
author = {Gomes, Pedro and Margaritoff, Petra and Silva, Hugo},
booktitle = {Proc. Int'l Conf. on Electrical, Electronic and Computing Engineering (IcETRAN)},
pages = {822-828},
title = {{pyHRV: Development and evaluation of an open-source python toolbox for heart rate variability (HRV)}},
year = {2019}
}Find below a list of publications using pyHRV.
Y. Lee, V. Pham, T. Chung, "Innovative Way of Detecting Atrial Fibrillation Based on HRV Features Using AI-Techniques", in Communications in Computer and Information Science, 2021
S. Jiang, F. Firouzi, K. Chakrabarty, E. Elbogen, "A Resilient and Hierarchical IoT-based Solution for Stress", Preprint, 2021
M. Val-Calvo, J. Álvarez-Sánchez, J. Ferrández-Vicente, E. Fernández, "Affective Robot Story-Telling Human-Robot Interaction: Exploratory Real-time Emotion Estimation Analysis using Facial Expressions and Physiological Signals", in IEEE Access, vol. 8, pp. 134051-134066, 2020
E. Shaqiri, M. Gusev, "A Programmatic Approach for Development of the ViewHRV Service Platform with Accurate and Reliable Results", in 2020 43rd International Convention on Information, Communication and Electronic Technology (MIPRO), Opatija, Croatia, pp. 343-348, 2020
J. Rahman, E. Nemati, M. Rahman, V. Nathan, K. Vatanparvar, J. Kuang, "Automated assessment of pulmonary patients using heart rate variability from everyday wearables", in Smart Health, vol. 15, no. 100081, 2020
V. Georges, F. Courtemanche, M. Fredette, P. Doyon-Poulin, "Emotional Maps for User Experience Research in the Wild ", in CHI EA '20: Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, pp. 1-8, 2020
N. Urrestilla, D. St-Onge, "Measuring Cognitive Load: Heart-rate Variability and Pupillometry Assessment](https://dl.acm.org/doi/abs/10.1145/3395035.3425203)", in Companion Publication of the 2020 International Conference on Multimodal Interaction (ICMI '20 Companion). Association for Computing Machinery, New York, NY, USA, pp. 405-410, 2020
S. Park, M. Constantinides, L. M. Aiello, D. Quercia and P. Van Gent, "WellBeat: A Framework for Tracking Daily Well-Being Using Smartwatches", in IEEE Internet Computing, vol. 24, no. 5, pp. 10-17, 2020
N. Maksjytov, A. Murtazin, M. Kljuchnikov, "The Standardization Problem of HRV Metrics in Elite Athletes", in Book of Abstracts of the 25th Annual Congress of the European College of Sport Science – 28th - 30th October 2020, Virtual, 2020
R. Bartels, T. Peçanha, "HRV: a Pythonic package for Heart Rate Variability Analysis](https://joss.theoj.org/papers/10.21105/joss.01867.pdf)", in The Journal of Open Source Software (JOSS), vol. 5, no. 51, article no. 1867, pp. 1-11, 2020
V. Tsen, J. Costa, M. Jung, T. Choudhury, "Using Smartphone Sensor Data to Assess Inhibitory Control in the Wild: Longitudinal Study", in JMIR Mhealth Uhealth, vol. 8., no. 12, article no. e21703, 2020
S. Dhaouadi, M. Khelifa, "A multimodal Physiological-Based Stress Recognition: Deep Learning Models’ Evaluation in Gamers’ Monitoring Application", in 2020 5th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP), Sousse, Tunisia, pp. 1-6., 2020
M. Val-Calvo, J. Álvarez-Sánchez, J. Ferrández-Vicente, A. Díaz-Morcillom E. Fernández-Jover, "Real-Time Multi-Modal Estimation of Dynamically Evoked Emotions Using EEG, Heart Rate and Galvanic Skin Response", in International Journal of Neural Systems, vol. 30, no. 4, article no. 2050013, 2020
L. Silva, R. Fazan Jr., J. Marin-Neto, "PyBioS: A freeware computer software for analysis of cardiovascular signals", in Computer Methods and Programs in Biomedicine, vol. 197, article no. 105718, 2020
M. Calvo, "Emotional Human-Robot Interaction Using Physiological Signals", Doctoral Thesis, 2020
T. Gomes, "Software de gerenciamento, análise e detecção precoce da disfunção autonômica em indivíduos com diabetes Mellitus", Master Thesis, 2020
Ø. Sørebø, "Heart rate and HRV measurements usng Impulse Radio Ultra Wideband Radar", Master Thesis, 2020
C. Rodrigues, "Sono ao Volante - Machine Learning para Previsão e Deteção de Sonolência", Master Thesis, 2020
W. Heng, E. Ming, A. Jamaluddin, F. Harun, N. Abdul-Kadir, C. Yeong, "Prediction of Ventricular Fibrillation Using Support Vector Machine", in Sustainable and Integrated Engineering International Conference 2019 (SIE 2019), no. 884, 2019
M. Firouznia, "Human-Cognition-in-the-Loop: A Framework to Include Decision Process in Closed Loop Control", Doctoral Thesis, 2019
A. Bizzego, A. Battisti, G. Gabrieli, G. Esposito, C. Furlanello, "pyphysio: A physiological signal processing library for data science approaches in physiology", in SoftwareX, vol. 10, article no. 100287, 2019
N. Strengell, "Wrist-based emotion recognition for human-computer interaction", Master Thesis, 2019
F. Megha, "Mitigating Public Speaking Anxiety Using Virtual Reality and Population-Specific Models", Master Thesis, 2019
F. do Nascimento, "Desenvolvimento de um software para análise da variabilidade do ritmo cardíaco", Master Thesis, 2019
P. Gomes, "Development of an Open-Source Python Toolbox for Heart Rate Variability", Master Thesis, 2018