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Chun-Kai Huang

Researcher at University of Kansas

Publications -  17
Citations -  195

Chun-Kai Huang is an academic researcher from University of Kansas. The author has contributed to research in topics: Gait (human) & Muscle fatigue. The author has an hindex of 5, co-authored 17 publications receiving 95 citations. Previous affiliations of Chun-Kai Huang include University of Nebraska Medical Center & Memorial Hospital of South Bend.

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Ergonomics of minimally invasive surgery: an analysis of muscle effort and fatigue in the operating room between laparoscopic and robotic surgery

TL;DR: Surgeons show similar fatigue levels performing the first case of the day using either robotic or LAP surgery, and long-term selective use of these different muscles could be correlated with different patterns of injury.
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Technology acceptance for an Intelligent Comprehensive Interactive Care (ICIC) system for care of the elderly: a survey-questionnaire study.

TL;DR: The modified TAM showed its effectiveness in evaluating the acceptance and characteristics of technologic products for the elderly user and the ICIC system offers a user-friendly solution in telemedical care and improves the quality of care forThe elderly.
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Tactile stimuli affect long-range correlations of stride interval and stride length differently during walking

TL;DR: The results show that the frequency manipulations of tactile stimulation altered the long-range correlations (LRCs) in stride length while amplitude manipulations affected the LRCs in stride interval without having any effect on the amount of gait variability.
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Gender equity in ergonomics: does muscle effort in laparoscopic surgery differ between men and women?

TL;DR: In this article, a comparison between men and women laparoscopic surgeons was made, assessing maximal voluntary contraction (MVC) and median frequency (MDF) using the Piper Fatigue Scale-12 (PFS-12) to assess self-perceived fatigue.
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The reduced lighting environment impacts gait characteristics during walking

TL;DR: It is indicated that the lighting intensity impacts gait adjustments during walking which contributes to the safety of workers situating in a reduced lighting environment.