等长运动
可穿戴计算机
地面反作用力
蹲下
超声波
计算机科学
物理医学与康复
生物医学工程
物理
嵌入式系统
医学
放射科
物理疗法
运动学
经典力学
作者
Erica L. King,Shriniwas Patwardhan,Ahmed Bashatah,Meghan K. Magee,Margaret T. Jones,Qi Wei,Siddhartha Sikdar,Parag V. Chitnis
出处
期刊:Sensors
[Multidisciplinary Digital Publishing Institute]
日期:2024-08-03
卷期号:24 (15): 5023-5023
摘要
Rehabilitation from musculoskeletal injuries focuses on reestablishing and monitoring muscle activation patterns to accurately produce force. The aim of this study is to explore the use of a novel low-powered wearable distributed Simultaneous Musculoskeletal Assessment with Real-Time Ultrasound (SMART-US) device to predict force during an isometric squat task. Participants (N = 5) performed maximum isometric squats under two medical imaging techniques; clinical musculoskeletal motion mode (m-mode) ultrasound on the dominant vastus lateralis and SMART-US sensors placed on the rectus femoris, vastus lateralis, medial hamstring, and vastus medialis. Ultrasound features were extracted, and a linear ridge regression model was used to predict ground reaction force. The performance of ultrasound features to predict measured force was tested using either the Clinical M-mode, SMART-US sensors on the vastus lateralis (SMART-US: VL), rectus femoris (SMART-US: RF), medial hamstring (SMART-US: MH), and vastus medialis (SMART-US: VMO) or utilized all four SMART-US sensors (Distributed SMART-US). Model training showed that the Clinical M-mode and the Distributed SMART-US model were both significantly different from the SMART-US: VL, SMART-US: MH, SMART-US: RF, and SMART-US: VMO models (
科研通智能强力驱动
Strongly Powered by AbleSci AI