Rethinking pain communication of patients with Alzheimer's disease through E-textile interaction design.

Alzheimer’s disease caregiver chronic pain multi-sensory stimulation pain communication tangible interaction wearable sensor

Journal

Frontiers in physiology
ISSN: 1664-042X
Titre abrégé: Front Physiol
Pays: Switzerland
ID NLM: 101549006

Informations de publication

Date de publication:
2023
Historique:
received: 27 06 2023
accepted: 07 09 2023
medline: 13 12 2023
pubmed: 13 12 2023
entrez: 13 12 2023
Statut: epublish

Résumé

Older individuals are easily prone to chronic pain. Due to the complexity of chronic pain, most elderly often have difficulty expressing pain to others to seek assistance, especially those with Alzheimer's disease (AD). The caregivers cannot instantly discover the patients' pain condition and provide timely pain management. This project applies physiological signal sensing technology to help AD patients express the presence of pain non-verbally. We embed sensors on patients' handkerchiefs to identify the patient's abnormal physical activity when pain occurs. Next, we translate the physiological signal into qualitative light alert to send to caregivers and indicate the pain occurrence condition. Then, utilizing multi-sensory stimulation intervention, we create an electronic textile (e-textile) tool to help caregivers effectively support patients in pain. And thus to create a two-way pain communication between caregivers and the patients. Pain perception can be independent of subjective expressions and tangibly perceived by others through our textile prototype. The e-textile handkerchiefs also bring up a new guide to facilitate communication for caregivers when their patients. We contribute the design insights of building a bio-sensing and e-textile system with considering the pain communication needs, patients' pain behaviors and preference of objects. Our e-textile system may contribute to pain communication bio-sensing tool design for special elderly groups, especially those with weakened cognition and communication abilities. We provide a new approach to dealing with the pain of AD patients for healthcare professionals.

Identifiants

pubmed: 38089481
doi: 10.3389/fphys.2023.1248893
pii: 1248893
pmc: PMC10711073
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1248893

Informations de copyright

Copyright © 2023 Li, Bai, Mao, Ren, Qiao, Tong and Lc.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Auteurs

Yanheng Li (Y)

School of Creative Media, City University of Hong Kong, Kowloon, Hong Kong SAR, China.

Long Bai (L)

Department of Electronic Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China.

Yaxuan Mao (Y)

School of Creative Media, City University of Hong Kong, Kowloon, Hong Kong SAR, China.

Hongliang Ren (H)

Department of Electronic Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China.
Department of Biomedical Engineering, National University of Singapore, Singapore, Singapore.

Yu Qiao (Y)

School of Design and Arts, Beijing Institute of Technology, Beijing, China.

Xin Tong (X)

Data Science Research Center and Global Health Research Center, Duke Kunshan University, Kunshan, China.

Ray Lc (R)

School of Creative Media, City University of Hong Kong, Kowloon, Hong Kong SAR, China.

Classifications MeSH