The Use of Wearable Sensors for the Movement Assessment on Muscle Contraction Sequences in Post-Stroke Patients during Sit-to-Stand

Wei Chun Hsu, Chao Chin Chang, Yi Jia Lin, Fu Chi Yang, Li Fong Lin, Kuan Nien Chou

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1 Citation (Scopus)


Electromyography (EMG) sensors have been used to study the sequence of muscle contractions during sit-to-stand (STS) in post-stroke patients. However, the majority of the studies used wired sensors with a limited number of placements. Using the latest improved wearable technology with 16 sensors, the current study was a thorough investigation to evaluate the contraction sequences of eight key muscles on the trunk and bilateral limbs during STS in post-stroke patients, as it became feasible. Multiple wearable sensors for the detection of muscle contraction sequences showed that the post-stroke patients performed STS with abnormal firing sequences, not only in the primary mover on the sagittal plane during raising, but also in the tibialis anterior, which may affect anticipatory postural adjustment in the gluteus medius, which may affect balance control. The abnormal tibialis anterior contraction until the early ascending phase and the delayed firing of the gluteus muscles highlight the importance of whole-kinetic-chain monitoring of contraction sequences using wearable sensors. The findings can be helpful for the design of therapeutic exercises.

Original languageEnglish
Article number657
JournalSensors (Switzerland)
Issue number3
Publication statusPublished - Feb 6 2019



  • Contraction of the muscles
  • Electromyography signal
  • Sit-to-stand
  • Stroke
  • Wearable sensors
  • Humans
  • Middle Aged
  • Wearable Electronic Devices
  • Stroke/physiopathology
  • Electromyography/instrumentation
  • Male
  • Equipment Design
  • Stroke Rehabilitation/instrumentation
  • Female
  • Aged
  • Muscle Contraction/physiology
  • Muscle, Skeletal/physiology

ASJC Scopus subject areas

  • Analytical Chemistry
  • Instrumentation
  • Atomic and Molecular Physics, and Optics
  • Electrical and Electronic Engineering
  • Biochemistry

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