Analysis of trunk rolling in Parkinson's disease patients using a mattress mobility detection system

Shang Lin Chiang, Chueh Ho Lin, Yaw Don Hsu, Shun Hwa Wei, Wen Hsu Sung, Liang Hsuan Lu, Shin Tsu Chang, Tsung Yen Ho, Yu Ping Shen, Liang Cheng Chen, Chia Huei Lin*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Scopus citations


Background and Objective: Parkinson's disease (PD) is a neurodegenerative condition characterized by motor dysfunction and various types of non-motor impairments. The reaction time and movement time are reported to become more severe delayed in worse PD patients. Most tools for evaluating motor impairment are limited by relying on subjective observations and being qualitative in design. The aim of this study was to investigate trunk rolling performance in PD patients by using a recently developed system to detect turning in bed. Methods: The study included 20 PD patients and 42 healthy controls. A mattress mobility detection system was employed for quantitative measurements. Each test session consisted of subjects starting by lying in a supine position on a bed and rolling 10 times onto their left side and 10 times onto their right side. Strain gauges mounted under the feet of the bed recorded changes in the center of pressure (CoP). Results: For turning back, the patients compared with the controls had significantly longer movement time (P = 0.017), longer time to peak counteraction (P = 0.001), larger ratio of peak counteraction to movement time (P = 0.006), shorter CoP displacement (P < 0.0001), slower turning speed (P = 0.000), weaker peak counteraction (P = 0.013), and smaller ratio of peak counteraction to weight (P = 0.032). Results for turning over were similar except there was no significant difference in the ratio of peak counteraction to weight. Conclusions: The mattress mobility detection system was useful for objectively assessing trunk rolling performance of PD patients. Improved assessment of trunk function in PD patients could lead to better treatments and improved rehabilitation procedures.

Original languageEnglish
Pages (from-to)157-163
Number of pages7
JournalComputer Methods and Programs in Biomedicine
StatePublished - Aug 2018


  • Motor function
  • Parkinson's disease
  • Trunk muscles
  • Turning


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