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Balance improvement effects of biofeedback systems with state-of-the-art wearable sensors: A systematic review

  • Christina Zong Hao Ma
  • , Duo Wai Chi Wong
  • , Wing Kai Lam
  • , Anson Hong Ping Wan
  • , Winson Chiu Chun Lee*
  • *Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

96 Citations (Scopus)

Abstract

Falls and fall-induced injuries are major global public health problems. Balance and gait disorders have been the second leading cause of falls. Inertial motion sensors and force sensors have been widely used to monitor both static and dynamic balance performance. Based on the detected performance, instant visual, auditory, electrotactile and vibrotactile biofeedback could be provided to augment the somatosensory input and enhance balance control. This review aims to synthesize the research examining the effect of biofeedback systems, with wearable inertial motion sensors and force sensors, on balance performance. Randomized and non-randomized clinical trials were included in this review. All studies were evaluated based on the methodological quality. Sample characteristics, device design and study characteristics were summarized. Most previous studies suggested that biofeedback devices were effective in enhancing static and dynamic balance in healthy young and older adults, and patients with balance and gait disorders. Attention should be paid to the choice of appropriate types of sensors and biofeedback for different intended purposes. Maximizing the computing capacity of the micro-processer, while minimizing the size of the electronic components, appears to be the future direction of optimizing the devices. Wearable balance-improving devices have their potential of serving as balance aids in daily life, which can be used indoors and outdoors.

Original languageEnglish
Article number434
Number of pages34
JournalSensors (Switzerland)
Volume16
Issue number4
Early online date25 Mar 2016
DOIs
Publication statusPublished - Apr 2016

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

User-Defined Keywords

  • Balance
  • Falls
  • Force sensors
  • Inertial motion sensors
  • Real-time biofeedback
  • Sensory augmentation
  • Wearable sensors

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