Estimation of Hand Grip Strength Using Foot motion Measured by In-shoe Motion Sensor

• Main Authors: Huang, Chenhui, Nihey, Fumiyuki, Fukushi, Kenichiro, Kajitani, Hiroshi, Nozaki, Yoshitaka, Wang, Zhenwei, Nakahara, Kentaro
• Format: Conference Proceeding
• Language: English
• Subjects: Biological system modeling; Estimation; Motion detection; Particle measurements; Phase measurement; Predictive models; Redundancy
• ISSN: 2694-0604
• DOI: 10.1109/EMBC48229.2022.9871544

There is a strong need to assess frailty in daily living. Hand grip strength (HGS) has been proven to be a very important factor for identifying frailty, however it is always assessed under the guidance of facility clinicians. Our purpose is to demonstrate the possibility of providing HGS estimation by using foot-motion signals measured by an in-shoe motion sensor (IMS) embedded in an insole to achieve high precision HGS assessment in daily living. The foot-motion signals were collected from 62 elder participants (27 men and 35 women). Their HGSs were assessed by a hand dynamometer. Gait parameters, individual properties, and predictors derived from foot-motion signal features in one gait cycle were selected as candidates. Statistical parametric mapping analyses were used to generate predictors from the foot-motion signals. Prior to estimation construction, least absolute shrinkage and selection operator was applied to reduce redundant predictors from candidates. Linear regression models for HGS estimation of men and women were constructed. As the results, we discovered new effective predictors for HGS estimation from foot motions and successfully constructed HGS estimation models that achieved "excellent" agreement with the reference according to intra-class coefficients, and mean absolute errors of 2.96 and 2.57 kg for men and women in leave-one-subject-out cross-validation, respectively. These results suggest that HGS can be estimated with high precision by IMS-measured foot motion and more effective frailty identification in daily living is possible through wearing an IMS.