Department of Physical Therapy, Yonsei University, Wonju, Korea.
Funrehab Co., Ltd, Daejoeon, Korea.
Technol Health Care. 2022;30(S1):251-257. doi: 10.3233/THC-228024.
Although patients with frozen shoulders have the range of motion (ROM) of their shoulder's abduction movements measured at hospital and the physical therapy visits, multiple visits to check for progress is often difficult. Thus, we developed an artificial intelligence-based image recognition detectable sensor (AIRDS) intended for easy use at home.
The purpose of this study was to determine the accuracy of a sensor (AIRDS) measuring shoulder abduction angle, thus offering a valid and feasible system for monitoring patients with frozen shoulder.
Ten patients with frozen shoulder (5 males, 5 females) performed shoulder joint movements while being measured with the AIRDS system and the 3-dimensional Vicon system. The measure of the outcome included the linear regression of the shoulder abduction joint kinematics.
Linear regression analysis of the AIRDS system and the Vicon system demonstrated a significant correlation coefficient of R2= 0.9979 (P< 0.05).
Our results provide novel, promising evidence that AIRDS can accurately measure the timing and total spatial characteristics of clinical movements. AIRDS is designed to provide real-time ROM measurements for joint mobility using artificial intelligence instead of the judgement of the physical therapist.
尽管患有冻结肩的患者在医院和物理治疗就诊时会测量肩部外展运动的活动范围（ROM），但多次检查进展情况通常很困难。因此，我们开发了一种基于人工智能的图像识别可检测传感器（AIRDS），旨在便于在家中使用。
本研究的目的是确定传感器（AIRDS）测量肩外展角度的准确性，从而为监测冻结肩患者提供一种有效且可行的系统。
10 名冻结肩患者（5 名男性，5 名女性）在使用 AIRDS 系统和 3 维 Vicon 系统进行肩关节运动时进行了测量。结果的测量包括肩部外展关节运动学的线性回归。
AIRDS 系统和 Vicon 系统的线性回归分析显示，相关系数 R2=0.9979（P<0.05）具有显著意义。
我们的结果提供了新的、有希望的证据，表明 AIRDS 可以准确测量临床运动的时间和总空间特征。AIRDS 旨在使用人工智能而不是物理治疗师的判断来提供关节活动度的实时 ROM 测量。
