Suwabe Ryota, Saito Takeshi, Hamaguchi Toyohiro
Department of Rehabilitation, Graduate School of Health Sciences, Saitama Prefectural University, Saitama 343-8540, Japan.
Department of Rehabilitation, Tokyo Dental College Ichikawa General Hospital, Chiba 272-8513, Japan.
Biomimetics (Basel). 2024 Jul 2;9(7):400. doi: 10.3390/biomimetics9070400.
Physicians, physical therapists, and occupational therapists have traditionally assessed hand motor function in hemiplegic patients but often struggle to evaluate complex hand movements. To address this issue, in 2019, we developed Fahrenheit, a device and algorithm that uses infrared camera image processing to estimate hand paralysis. However, due to Fahrenheit's dependency on specialized equipment, we conceived a simpler solution: developing a smartphone app that integrates MediaPipe. The objective of this study was to measure hand movements in stroke patients using both MediaPipe and Fahrenheit and to assess their criterion-related validity. The analysis revealed moderate-to-high correlations between the two methods. Consistent results were also observed in the peak angle and velocity comparisons across the severity stages. Because Fahrenheit determines finger recovery status based on these measures, it has the potential to transfer this function to MediaPipe. This study highlighted the potential use of MediaPipe in paralysis estimation applications.
传统上，医生、物理治疗师和职业治疗师会评估偏瘫患者的手部运动功能，但在评估复杂的手部动作时往往会遇到困难。为了解决这个问题，我们在2019年开发了“华氏温度”（Fahrenheit），这是一种利用红外摄像头图像处理来估计手部麻痹情况的设备和算法。然而，由于“华氏温度”依赖专业设备，我们想出了一个更简单的解决方案：开发一款集成了MediaPipe的智能手机应用程序。本研究的目的是使用MediaPipe和“华氏温度”来测量中风患者的手部动作，并评估它们与标准相关的效度。分析显示这两种方法之间存在中度到高度的相关性。在不同严重程度阶段的峰值角度和速度比较中也观察到了一致的结果。由于“华氏温度”基于这些测量来确定手指恢复状态，它有可能将此功能转移到MediaPipe上。这项研究突出了MediaPipe在麻痹估计应用中的潜在用途。
