Sleep Efficiency Measurement Algorithm Using an IR-UWB Radar Sensor 


Vol. 42,  No. 1, pp. 214-217, Jan.  2017


PDF
  Abstract

In this paper, we propose a sleep efficiency measurement algorithm based on IR-UWB radar sensor in distance. Among the vital signs which can be measured by the IR-UWB radar sensor such as breathing rate, heartbeat rate, and movement, we analyzed correlation between the movement and the sleep efficiency, and based on the result, we propose a sleep efficiency measurement algorithm. In order to verify the performance of the proposed algorithm, we applied the algorithm to three polysomnography patients in hospitals and obtained the performance of an average absolute error within 3.9%.

  Statistics
Cumulative Counts from November, 2022
Multiple requests among the same browser session are counted as one view. If you mouse over a chart, the values of data points will be shown.


  Cite this article

[IEEE Style]

J. W. Choi, Y. N. Lee, S. H. Cho, Y. Lim, S. H. Cho, "Sleep Efficiency Measurement Algorithm Using an IR-UWB Radar Sensor," The Journal of Korean Institute of Communications and Information Sciences, vol. 42, no. 1, pp. 214-217, 2017. DOI: .

[ACM Style]

Jeong Woo Choi, Yu Na Lee, Seok Hyun Cho, Young-Hyo Lim, and Sung Ho Cho. 2017. Sleep Efficiency Measurement Algorithm Using an IR-UWB Radar Sensor. The Journal of Korean Institute of Communications and Information Sciences, 42, 1, (2017), 214-217. DOI: .

[KICS Style]

Jeong Woo Choi, Yu Na Lee, Seok Hyun Cho, Young-Hyo Lim, Sung Ho Cho, "Sleep Efficiency Measurement Algorithm Using an IR-UWB Radar Sensor," The Journal of Korean Institute of Communications and Information Sciences, vol. 42, no. 1, pp. 214-217, 1. 2017.

Search
(IN TITLE, AUTHOR, ABSTRACT,KEYWORDS)

Advanced Search ▼

POPULAR KEYWORDS
(TOP 10 KEYWORDS)

Recent Publications
(LAST 3 YEARS)






pISSN : 1226 - 4717
eISSN : 2287 - 3880