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Special Section Technical Briefs

Motion Artifact Reduction Algorithm in Wearable Healthcare System1

[+] Author and Article Information
Seung Chul Lee, Sung Min Kim

Research Institute for Commercialization of
Biomedical Convergence Technology,
Dongguk University,
Jung-gu, Seoul, South Korea

DOI: 10.1115/1.4033169Manuscript received March 1, 2016; final manuscript received March 17, 2016; published online May 12, 2016. Editor: William Durfee.

J. Med. Devices 10(2), 020936 (May 12, 2016) (2 pages) Paper No: MED-16-1143; doi: 10.1115/1.4033169 History: Received March 01, 2016; Revised March 17, 2016

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References

Van Alste, J. A. , and Schilder, T. S. , 1985, “ Removal of Base-Line Wander and Power-Line Interference From the ECG by an Efficient FIR Filter With a Reduced Number of Taps,” Biomed. Eng., 32(12), pp. 1052–1060.
Lee, Y. D. , and Chung, W. Y. , 2009, “ Wireless Sensor Network Based Wearable Smart Shirt for Ubiquitous Health and Activity Monitoring,” Sens. Actuators, B, 140(2), pp. 390–395. [CrossRef]
Liu, S. H. , 2011, “ Motion Artifact Reduction in Electrocardiogram Using Adaptive Filter,” J. Med. Biol. Eng., 31(1), pp. 67–72. [CrossRef]
Lim, C. Y. , Jang, K. J. , and Kim, H. W. , 2013, “ A Wearable Healthcare System for Cardiac Signal Monitoring Using Conductive Textile Electrodes,” 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Osaka, Japan, July 3–7, pp. 7500–7503.
Han, H. Y. , and Kim, J. , 2012, “ Artifacts in Wearable Photo Plethysmographs During Daily Life Motions and Their Reduction With Least Mean Square Based Active Noise Cancellation Method,” Comput. Biol. Med., 42(4), pp. 387–393. [CrossRef] [PubMed]
Fansano, A. , Villani, V. , and Vollero, L. , 2011, “ Baseline Wander Estimation and Removal by Quadratic Variation Reduction,” Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEMBS), Boston, MA, Aug. 30–Sept. 3, pp. 977–980.

Figures

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Fig. 1

Wearable healthcare system: wearable sensor node and bioshort

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Fig. 2

Block diagram of a QV algorithm

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Fig. 3

The performance waveforms of the QV and the ANC filter for under motion on twisting poses

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Fig. 4

R-peak detection rate when the object moved the body from left to right

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