Chih-Yen Chiang

Chih-Yen Chiang

orcid

Research Focus & Metrics

Academic Career Length

18Years (2009-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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22 February 2017 in Sensors
Verified
Journal Article
Open access
PDF file
CCChih-Yen Chiang
Chih-Yen Chiang
KCKun-Hui Chen
Kun-Hui Chen
KLKai-Chun Liu
Kai-Chun Liu
SHSteen Hsu
Steen Hsu
CCChia-Tai Chan
Chia-Tai Chan
Total knee arthroplasty (TKA) is the most common treatment for degenerative osteoarthritis of that articulation. However, either in rehabilitation clinics or in hospital wards, the knee range of motion (ROM) can currently only be assessed using a goniometer. In order to provide continuous and objective measurements of knee ROM, we propose the use of wearable inertial sensors to record the knee ROM during the recovery progress. Digitalized and objective data can assist the surgeons to control the recovery status and flexibly adjust rehabilitation programs during the early acute inpatient stage. The more knee flexion ROM regained during the early inpatient period, the better the long-term knee recovery will be and the sooner early discharge can be achieved. The results of this work show that the proposed wearable sensor approach can provide an alternative for continuous monitoring and objective assessment of knee ROM recovery progress for TKA patients compared to the traditional goniometer measurements.

1 June 2009
Verified
Conference Paper
Closed access
CHChih-Ning Huang
Chih-Ning Huang
CCChih-Yen Chiang
Chih-Yen Chiang
JCJui-Sheng Chang
Jui-Sheng Chang
YCYi-Chieh Chou
Yi-Chieh Chou
YHYa-Xuan Hong
Ya-Xuan Hong
CCChia-Tai Chan
Chia-Tai Chan
Falls are one of the most common adverse events in hospitals and fall management remains a major challenge in the medical care quality. Falls in patients are associated with major health complications that can result in health decline and increased medical care cost. To deliver medical care in time, reliable location-aware fall detection is needed. In this paper, we propose a patient alert alarm for fall management. It is ZigBee-based location awareness fall detection system that provides immediate position information to the caregivers as soon as the fall happened. Obviously, the integration of location awareness and fall detection technologies fulfills the requirements of delivering critical information to relative professions and improve the medical care quality.

30 April 2012 in Advanced Science Letters
Verified
Journal Article
Closed access
CHChih-Ning Huang
Chih-Ning Huang
CCChih-Yen Chiang
Chih-Yen Chiang
CCChun-Bin Chiu
Chun-Bin Chiu
SHSteen Hsu
Steen Hsu
CCChia-Tai Chan
Chia-Tai Chan

1 July 2013 in Advanced Science Letters
Verified
Journal Article
Closed access
CCChih-Yen Chiang
Chih-Yen Chiang
CHChih-Ning Huang
Chih-Ning Huang
SHSteen Hsu
Steen Hsu
CCChia-Tai Chan
Chia-Tai Chan