Body-sensing tank top with biofeedback system for patients with scoliosis

Abstract

A garment, in a form of tank top, for monitoring patient-related signals of a patient having scoliosis and thereby enabling the patient to obtain a personalized biofeedback is provided. The garment are integrated with plural sensors, a sensor interface and a smart control unit (SCU), allowing the patient-related signals to be non-intrusively measured by the sensors while maintaining comfort to the patient when the patient wears the garment. The SCU is communicable with the sensors via the sensor interface and aggregates the patient-related signals. A computing server outside the garment receives the aggregated patient-related signals from the SCU via a user access device such as a smartphone, and processes the aggregated patient-related signals to generate the personalized biofeedback, which is then forwarded to the user access device for presentation to the patient. Machine learning algorithms are used to process the patient-related signals in generating the biofeedback. 一种衣物，呈背心形式，用于监测患脊柱侧凸的患者和患者相关信号，从而使得所述患者能够获得个性化生物反馈。所述衣物包括多个传感器、传感器接口和智能控制单元(SCU)，当患者穿戴所述衣物时允许所述传感器非侵入式地测量所述患者相关信号，并同时维持所述患者的舒适性。所述SCU经由所述传感器接口与所述传感器通信，且聚集所述患者相关信号。所述衣物外部的计算服务器经由诸如智能电话的用户访问装置从所述SCU中接收所述聚集的患者相关信号，并处理所述聚集的患者相关信号以产生所述个性化生物反馈，所述个性化生物反馈然后被转发到所述用户访问装置以呈现给所述患者。机器学习算法用于在产生所述生物反馈时处理所述患者相关信号。