Wireless Real-Time Exercise System for Physical Telerehabilation

Aref Smiley, Te Yi Tsai, Joseph Finkelstein

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

The COVID-19 pandemic has impacted every aspects of health delivery and encouraged researchers to replace in-person clinical visits with telecommunications. Such approach has great potential to support home-based exercises. A critical part of successful use of exercise equipment at patient homes is to account for potential patient's needs, values and preferences for rehabilitation and exercise prescriptions. The goal if this pilot project is to conduct an initial usability assessment of a remotely controlled version of interactive bike (iBike) system which gives the clinical team the capability to monitor exercise progress in real time using simple graphical representation. The bike can be used for upper or lower limb rehabilitation. A customized tablet app was developed to provide user interface between the app and the bike sensors. The iBike system was tested using a quasi-experimental design based on pre-post single group comparison. Two separate sessions, with a gap of a week and no further training and use of iBikE system, were carried out to determine the usability of the iBikE system. The completion times of Task 1 and Task 2 changed from 8.6±4.7 seconds to 1.8±0.8 seconds and from 315.0±6.9 seconds to 303.4±1.1 seconds respectively. Between pre-post tests, the 3-item post-task survey scores increased and the usability scores increased from 92.0±8.6 to 97.0±3.3. From the question of 'How likely are you to recommend this iBikE system to others?' the scores increased from 9.4±0.9 to 9.8±0.5. We concluded that further development and evaluation of the iBike system in different patient subgroups is warranted.

Original languageEnglish
Title of host publication2022 IEEE Long Island Systems, Applications and Technology Conference, LISAT 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665465960
DOIs
StatePublished - 2022
Event2022 IEEE Long Island Systems, Applications and Technology Conference, LISAT 2022 - Old Westbury, United States
Duration: 6 May 2022 → …

Publication series

Name2022 IEEE Long Island Systems, Applications and Technology Conference, LISAT 2022

Conference

Conference2022 IEEE Long Island Systems, Applications and Technology Conference, LISAT 2022
Country/TerritoryUnited States
CityOld Westbury
Period6/05/22 → …

Keywords

  • home-based exercise
  • remote cycling
  • telerehabilitation

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