An automated heart rate-based algorithm for sleep stage classification: Validation using conventional polysomnography and an innovative wearable electrocardiogram device

Pini, N., Ong, J. L., Yilmaz, G., Chee, N. I. Y. N., Siting, Z., Awasthi, A., Biju, S., Kishan, K., Patanaik, A., Fifer, W. P., & Lucchini, M. (2022). An automated heart rate-based algorithm for sleep stage classification: Validation using conventional polysomnography and an innovative wearable electrocardiogram device. Frontiers in Neuroscience, 16. https://doi.org/10.3389/fnins.2022.974192
Authors:
Nicolò Pini
Ju Lynn Ong
Gizem Yılmaz
Nicholas I Y N Chee
Zhao Siting
Animesh Awasthi
Siddharth Biju
Kishan Kishan
Amiya Patanaik
William P. Fifer
Maristella Lucchini
Affiliated Authors:
Nicolò Pini
William P. Fifer
Maristella Lucchini
Columbia Affiliation:
Subjects:
Brain-Computer Interfaces in Neuroscience and Medicine (OpenAlex Topic)
Non-contact Physiological Monitoring Technology (OpenAlex Topic)
Analysis and Applications of Heart Rate Variability (OpenAlex Topic)
Author Keywords:
artificial intelligence
bio-inspired algorithms
home testing
heart rate variability (hrv)
sleep monitoring algorithm
sleep monitoring devices
sleep state classification
wearable devices and sensors
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Publication Type:
Article
Unique ID:
10.3389/fnins.2022.974192
PMID:
36278001
DOI:
10.3389/fnins.2022.974192
Journal:
Frontiers in Neuroscience
Publication Date:
Data Source:
OpenAlex
Source Link:
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Record Created: