Long-Term Measurement of Maternal Pulse Rate Dynamics Using a Home-Based Sleep Monitoring System

Author:

Chen Ying1,Chen Wenxi1,Kitamura Kei-ichiro2,Nemoto Tetsu2

Affiliation:

1. Biomedical Information Technology Laboratory, The University of Aizu, Ikki-machi, Aizuwakamatsu, Fukushima 965-8580, Japan

2. Department of Laboratory Science, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Kanazawa, Ishikawa 920-1192, Japan

Abstract

Major adaptations occur in the maternal cardiovascular system during pregnancy and after delivery; knowledge of these changes is essential to the health management of pregnant women. This paper presents a longitudinal study and proposes a methodology to monitor daily pulse rates (PRs) and characterize the weekly changes in maternal PRs before and after delivery. PRs were recorded during nightly sleep using an automatic monitoring system. PRs of the nonpregnant woman were taken as a reference. Weekly PR properties were characterized by histogram and a two-Gaussian mixture model. A coupling use of sample entropy and pulse rate was applied to cluster the stages during recovery period after delivery. Results depicted a profile of individual’s cardiac recovery process in late pregnancy and after delivery. The results reveal that maternal PRs show different patterns in various stages of recovery. Later stages of recovery seemed to require a much longer period. The present study introduced a convenient approach in long-term maternal cardiac condition monitoring.

Funder

University of Aizu

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering,Instrumentation,Control and Systems Engineering

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. RecogHypertension: early recognition of hypertension based on heart rate variability;Journal of Ambient Intelligence and Humanized Computing;2021-09-30

2. IoT-based healthcare system for real-time maternal stress monitoring;Proceedings of the 2018 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies;2018-09-26

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