Efficient and Direct Inference of Heart Rate Variability using Both Signal Processing and Machine Learning-Reference-Cited by-同舟云学术

Efficient and Direct Inference of Heart Rate Variability using Both Signal Processing and Machine Learning

Published:2023-06-21 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 8th ACM/IEEE International Conference on Connected Health: Applications, Systems and Engineering Technologies
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Author:

Zhang Yuntong¹^ORCID,Xu Jingye¹^ORCID,Xie Mimi¹^ORCID,Zhu Dakai¹^ORCID,Song Houbing²^ORCID,Wang Wei¹^ORCID

Affiliation:

1. University of Texas at San Antonio, San Antonio, TX, USA

2. University Of Maryland, Baltimore County, Baltimore, MD, USA

Funder

National Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3580252.3586971

Reference45 articles.

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4. Shikder Shafiul Bashar, Md Sazal Miah, AHM Zadidul Karim, Md Abdullah Al Mahmud, and Zahid Hasan. 2019. A machine learning approach for heart rate estimation from PPG signal using random forest regression algorithm. In 2019 International Conference on Electrical, Computer and Communication Engineering (ECCE). IEEE, 1--5.

5. James Bergstra and Yoshua Bengio. 2012. Random search for hyperparameter optimization. J. of machine learning research 13, 2 (2012).