| 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. |