Evidence map›Paper›PMID 37790724›Full record

ArticleFrontiers in public health2023

A novel smart somatosensory wearable assistive device for older adults' home rehabilitation during the COVID-19 pandemic.

Chien-Hsiang Chang, Wei-Chih Lien, Tseng-Ping Chiu, Tai-Hua Yang, Chun-Chun Wei, Yu-Liang Kuo, Chung-Hsing Yeh, Bo Liu, Pin-Jun Chen, Yang-Cheng Lin

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
6.1field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 4 institutions in 2 countries.

Chien-Hsiang ChangDepartment of Industrial Design, National Cheng Kung University, Tainan, Taiwan.
Wei-Chih LienDepartment of Physical Medicine and Rehabilitation, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Tseng-Ping ChiuDepartment of Industrial Design, National Cheng Kung University, Tainan, Taiwan.
Tai-Hua YangDepartment of Orthopaedic Surgery, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Taipei, Taiwan.
Chun-Chun WeiDepartment of Digital Multimedia Design, National Taipei University of Business, Taipei, Taiwan.
Yu-Liang KuoDepartment of Industrial Design, National Cheng Kung University, Tainan, Taiwan.
Chung-Hsing YehFaculty of Information Technology, Monash University, Melbourne, VIC, Australia.
Bo LiuDepartment of Industrial Design, National Cheng Kung University, Tainan, Taiwan.
Pin-Jun ChenDepartment of Industrial Design, National Cheng Kung University, Tainan, Taiwan.
Yang-Cheng LinDepartment of Industrial Design, National Cheng Kung University, Tainan, Taiwan.
National Cheng Kung University · TWMonash University · AUNational Cheng Kung University Hospital · TWNational Taipei University of Business · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Due to the Coronavirus disease 19 (COVID-19) related social distancing measures and health service suspension, physical activity has declined, leading to increased falling risk and disability, and consequently, compromising the older adult health. How to improve the quality of older adult life has become a crucial social issue. Objective: In traditional rehabilitation, manual and repetitive muscle training cannot identify the patient's rehabilitation effect, and increasing the willingness to use it is not easy. Therefore, based on the usability perspective, this study aims to develop a novel smart somatosensory wearable assistive device (called SSWAD) combined with wireless surface electromyography (sEMG) and exergame software and hardware technology. The older adult can do knee extension, ankle dorsiflexion, and ankle plantar flexion rehabilitation exercises at home. Meanwhile, sEMG values can be digitally recorded to assist physicians (or professionals) in judgment, treatment, or diagnosis. Methods: To explore whether the novel SSWAD could improve the older adult willingness to use and motivation for home rehabilitation, 25 frail older adult (12 males and 13 females with an average age of 69.3) perform the rehabilitation program with the SSWAD, followed by completing the system usability scale (SUS) questionnaire and the semi-structured interview for the quantitative and qualitative analyses. In addition, we further investigate whether the factor of gender or prior rehabilitation experience would affect the home rehabilitation willingness or not. Results: According to the overall SUS score, the novel SSWAD has good overall usability performance (77.70), meaning that the SSWAD makes older adult feel interested and improves their willingness for continuous rehabilitation at home. In addition, the individual item scores of SUS are shown that female older adult with prior rehabilitation experience perform better in " Conclusion: This novel SSWAD receives consistently positive feedback regardless of the gender or prior rehabilitation experience of elders. The SSWAD could be used as a novel way of home rehabilitation for elders, especially during the COVID-19 pandemic. Older adult can do rehabilitation exercises at home, and physicians could make proper judgments or adjust suitable treatments online according to the sEMG data, which older adult can know their rehabilitation progress at the same time. Most importantly, older adult do not have to go to the hospital every time for rehabilitation, which significantly reduces time and the risk of infection.

Indexed as

COVID-19Self-Help DevicesWearable Electronic DevicesAgedExercise TherapyFemaleHumansMalePandemicsCOVID-19frailtyhome rehabilitationtelemedicineusabilitywearable assistive device

Identifiers

PMID37790724
PMCPMC10544986
OpenAlexW4386864289

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.