Literature DB >> 21413872

Wireless portable electrocardiogram and a tri-axis accelerometer implementation and application on sleep activity monitoring.

Kang-Ming Chang1, Shin-Hong Liu.   

Abstract

Night-to-night variability of sleep activity requires more home-based portable sleep monitoring instead of clinical polysomnography examination in the laboratory. In this article, a wireless sleep activity monitoring system is described. The system is light and small for the user. Sleep postures, such as supine or left/right side, were observed by a signal from a tri-axis accelerometer. An overnight electrocardiogram was also recorded with a single lead. Using an MSP430 as microcontroller, both physiological signals were transmitted by a Bluetooth chip. A Labview-based interface demonstrated the recorded signal and sleep posture. Three nights of sleep recordings were used to examine night-to-night variability. The proposed system can record overnight heart rate. Results show that sleep posture and posture change can be precisely detected via tri-axis accelerometer information. There is no significant difference within subject data sets, but there are statistically significant differences among subjects, both for heart rate and for sleep posture distribution. The wireless transmission range is also sufficient for home-based users.

Mesh:

Year:  2011        PMID: 21413872     DOI: 10.1089/tmj.2010.0078

Source DB:  PubMed          Journal:  Telemed J E Health        ISSN: 1530-5627            Impact factor:   3.536


  4 in total

1.  A wireless sEMG recording system and its application to muscle fatigue detection.

Authors:  Kang-Ming Chang; Shin-Hong Liu; Xuan-Han Wu
Journal:  Sensors (Basel)       Date:  2012-01-05       Impact factor: 3.576

2.  A lightweight sensing platform for monitoring sleep quality and posture: a simulated validation study.

Authors:  Richard M Kwasnicki; George W V Cross; Luke Geoghegan; Zhiqiang Zhang; Peter Reilly; Ara Darzi; Guang Zhong Yang; Roger Emery
Journal:  Eur J Med Res       Date:  2018-05-30       Impact factor: 2.175

3.  A wireless accelerometer-based body posture stability detection system and its application for meditation practitioners.

Authors:  Kang-Ming Chang; Sih-Huei Chen; Hsin-Yi Lee; Congo Tak-Shing Ching; Chun-Lung Huang
Journal:  Sensors (Basel)       Date:  2012-12-18       Impact factor: 3.576

4.  Raspberry Pi-Based Sleep Posture Recognition System Using AIoT Technique.

Authors:  Pei-Jarn Chen; Tian-Hao Hu; Ming-Shyan Wang
Journal:  Healthcare (Basel)       Date:  2022-03-11
  4 in total

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