The vital measurement system development of wearable healthcare is an important study. The portable vital measurement system is based on wearable system implemented by integrating fabric electrodes, signal processing techniques, and wireless communication. Especially the electrocardiogram (ECG) measurement from wearable system for moving is a difficult problem, because ECG signal is contaminated by several kinds of noises such as power interference, electromyography noise, and baseline wander [1]. To overcome these problems, many methods have been proposed in many literatures. The most frequently used algorithm is active noise cancelation (ANC) which is obtaining the desired signal by subtracting the estimated undesired noise [2–5]. In this paper, the designed wearable vital measurement system utilizes a unique algorithm based on quadratic variation (QV) to remove motion artifacts of ECG [6]. We proposed to study the evaluation of R-peak detection rate of ANC and QV algorithms....
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June 2016
Special Section Technical Briefs
Motion Artifact Reduction Algorithm in Wearable Healthcare System1
Seung Chul Lee,
Seung Chul Lee
Research Institute for Commercialization of
Biomedical Convergence Technology,
Dongguk University,
Jung-gu, Seoul, South Korea
Biomedical Convergence Technology,
Dongguk University,
Jung-gu, Seoul, South Korea
Search for other works by this author on:
Sung Min Kim
Sung Min Kim
Research Institute for Commercialization of
Biomedical Convergence Technology,
Dongguk University,
Jung-gu, Seoul, South Korea
Biomedical Convergence Technology,
Dongguk University,
Jung-gu, Seoul, South Korea
Search for other works by this author on:
Seung Chul Lee
Research Institute for Commercialization of
Biomedical Convergence Technology,
Dongguk University,
Jung-gu, Seoul, South Korea
Biomedical Convergence Technology,
Dongguk University,
Jung-gu, Seoul, South Korea
Sung Min Kim
Research Institute for Commercialization of
Biomedical Convergence Technology,
Dongguk University,
Jung-gu, Seoul, South Korea
Biomedical Convergence Technology,
Dongguk University,
Jung-gu, Seoul, South Korea
DOI: 10.1115/1.4033169
Manuscript received March 1, 2016; final manuscript received March 17, 2016; published online May 12, 2016. Editor: William Durfee.
J. Med. Devices. Jun 2016, 10(2): 020936 (2 pages)
Published Online: May 12, 2016
Article history
Received:
March 1, 2016
Revised:
March 17, 2016
Citation
Lee, S. C., and Kim, S. M. (May 12, 2016). "Motion Artifact Reduction Algorithm in Wearable Healthcare System." ASME. J. Med. Devices. June 2016; 10(2): 020936. https://doi.org/10.1115/1.4033169
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