IoT-Based Frozen-Shoulder Rehabilitation system

• Main Authors: ZHENG, YU-XIANG, 鄭宇翔
• Other Authors: TANG, MING-CHUNG
• Format: Others
• Language: zh-TW
• Published: 2019
• Online Access: http://ndltd.ncl.edu.tw/handle/wmek49

碩士 === 明志科技大學 === 電子工程系碩士班 === 107 === Frozen shoulder is also known as fifty-years-old shoulder. As the name suggested, the incidence of the syndrome has higher probability of occurrences in fifties or older. However, as working hours becoming longer, the chances of suffering from the insidious onset of diffusing pain are greater, especially for workers who have been sitting in front of computers and using mouse for a long period of times without any exercises. This painful shoulder syndrome associated with working men happens more often than those of average persons. The paper applies Internet of Things （IoT） methodologies connecting a simple sensor to detect which hand of a person is operating the mouse of a computer and controls the usage time of the mouse. The records of the usage period are captured by an Arduino application and a Raspberry Pi. After the data been collected from the sensor, the data are published into a broker by Message Queueing Telemetry Transport (MQTT) techniques and subscribed by a smart phone via a Wi-Fi wireless module. In addition, the built-in sensor of the smart phone can initiate simple rehabilitation actions automatically. The aggregated data are integrated into a database. Therefore, doctors can retrieve and review the mouse usage time and the rehabilitation records at any moment. Furthermore, according to the data, doctors can give the suggesting immediately to improve the condition of the symptom for the workers.