Reliability, Validity, and Identification Ability of a Commercialized Waist-Attached Inertial Measurement Unit (IMU) Sensor-Based System in Fall Risk Assessment of Older People

Author:

Li Ke-Jing1,Wong Nicky Lok-Yi1,Law Man-Ching123,Lam Freddy Man-Hin4ORCID,Wong Hoi-Ching13,Chan Tsz-On13,Wong Kit-Naam13,Zheng Yong-Ping123ORCID,Huang Qi-Yao5,Wong Arnold Yu-Lok24ORCID,Kwok Timothy Chi-Yui6ORCID,Ma Christina Zong-Hao12ORCID

Affiliation:

1. Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong SAR, China

2. Research Institute for Smart Ageing, The Hong Kong Polytechnic University, Hong Kong SAR, China

3. Jockey Club Smart Ageing Hub, The Hong Kong Polytechnic University, Hong Kong SAR, China

4. Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong SAR, China

5. School of Fashion and Textiles, The Hong Kong Polytechnic University, Hong Kong SAR, China

6. Department of Medicine & Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China

Abstract

Falls are a prevalent cause of injury among older people. While some wearable inertial measurement unit (IMU) sensor-based systems have been widely investigated for fall risk assessment, their reliability, validity, and identification ability in community-dwelling older people remain unclear. Therefore, this study evaluated the performance of a commercially available IMU sensor-based fall risk assessment system among 20 community-dwelling older recurrent fallers (with a history of ≥2 falls in the past 12 months) and 20 community-dwelling older non-fallers (no history of falls in the past 12 months), together with applying the clinical scale of the Mini-Balance Evaluation Systems Test (Mini-BESTest). The results show that the IMU sensor-based system exhibited a significant moderate to excellent test–retest reliability (ICC = 0.838, p < 0.001), an acceptable level of internal consistency reliability (Spearman’s rho = 0.471, p = 0.002), an acceptable convergent validity (Cronbach’s α = 0.712), and an area under the curve (AUC) value of 0.590 for the IMU sensor-based receiver-operating characteristic (ROC) curve. The findings suggest that while the evaluated IMU sensor-based system exhibited good reliability and acceptable validity, it might not be able to fully identify the recurrent fallers and non-fallers in a community-dwelling older population. Further system optimization is still needed.

Funder

Hong Kong Research Grants Council

Hong Kong Polytechnic University

Research Institute for Smart Ageing, The Hong Kong Polytechnic University

Publisher

MDPI AG

Subject

Clinical Biochemistry,General Medicine,Analytical Chemistry,Biotechnology,Instrumentation,Biomedical Engineering,Engineering (miscellaneous)

Reference68 articles.

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2. Aging in China: Challenges and opportunities;Wang;China CDC Weekly,2022

3. World guidelines for falls prevention and management for older adults: A global initiative;Martin;Age Ageing,2022

4. Fall risk assessment measures: An analytic review;Perell;J. Gerontol. Ser. A Biol. Sci. Med. Sci.,2001

5. Balance problems and fall risks in the elderly;Clin. Geriatr. Med.,2019

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