A Novel Diagnostic Approach for Smartphone-Induced Finger Disorders: An Exploratory Study

Smartphone-related finger injuries are repetitive strain injuries caused by prolonged smartphone use. Despite the increasing prevalence of such conditions, few studies have focused on developing effective and accessible diagnostic methods. This study proposes the use of biomedical signals from the hand and fingers as diagnostic indices. Soft tissue stiffness and vibration frequency features under load are presented and tested as potential diagnostic indices. Testing revealed that the soft tissue stiffness parameter lacks reliability and suitable sensors, while the vibration frequency feature demonstrates excellent performance. After addressing several existing limitations, the vibration frequency under load emerges as the optimal diagnostic method for smartphone-related finger injuries.

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Publication Details

Journal
Proceedings of Engineering and Technology Innovation
Published
2025-05-26
DOI
https://doi.org/10.46604/peti.2024.14428
Primary Topic
Ergonomics and Musculoskeletal Disorders
Type
article
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article

A Novel Diagnostic Approach for Smartphone-Induced Finger Disorders: An Exploratory Study

Sentong Wang, Qian Li, Rui Gong, Kazunori HASE
Proceedings of Engineering and Technology Innovation
Ergonomics and Musculoskeletal Disorders
article

A Novel Diagnostic Approach for Smartphone-Induced Finger Disorders: An Exploratory Study

Sentong Wang, Qian Li, Rui Gong, Kazunori HASE
article en

Abstract

Smartphone-related finger injuries are repetitive strain injuries caused by prolonged smartphone use. Despite the increasing prevalence of such conditions, few studies have focused on developing effective and accessible diagnostic methods. This study proposes the use of biomedical signals from the hand and fingers as diagnostic indices. Soft tissue stiffness and vibration frequency features under load are presented and tested as potential diagnostic indices. Testing revealed that the soft tissue stiffness parameter lacks reliability and suitable sensors, while the vibration frequency feature demonstrates excellent performance. After addressing several existing limitations, the vibration frequency under load emerges as the optimal diagnostic method for smartphone-related finger injuries.

Proceedings of Engineering and Technology InnovationVol. 30
Tokyo Metropolitan Institute of Gerontology (JP), Seikei University (JP), Tokyo Metropolitan University (JP)
Openalex Percentile: Top 79%
Ergonomics and Musculoskeletal Disorders
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A Novel Diagnostic Approach for Smartphone-Induced Finger Disorders: An Exploratory Study — Sentong Wang, Qian Li, et al. · Proceedings of Engineering and Technology Innovation (2025) | TGRS Research Map | TGRS