Abstract: The present invention provides a smart wearable device, which is held on an upper body of a wearer by a plurality of contact pad sets, and has a connection unit, a first sensing module, a second sensing module, and an extension unit.

Abstract: Provided is a method for preventing or treating urological chronic pelvic pain syndrome (UCPPS) in a subject that includes administering an effective amount of cerium oxide nanoparticles (CeNPs) to the subject. Also provided is a method for preventing or treating an UCPPS in a subject that includes administering to the subject a pharmaceutical composition comprising an effective amount of the CeNPs and a pharmaceutically acceptable carrier thereof.

Abstract: A wearable device an intelligent health promotion service system (IHPSS) is disclosed. One embodiment of the wearable device (10) is configured to interface plurality groups of skin-mounted sensor pads (130) over a body part (140) of a wearer, and comprises: a modular brace (110) structurally separated from the sensor pads, and a plurality of sensor modules (120). The modular bracing is provided with a plurality groups of orienting slots (111) arranged thereon configured to maintain intra-group orientation between the sensor pads, and is configured to allow inter-group distance adjustment between the groups of the sensor pads over the body part of the wearer. The plurality of sensor modules is configured to be detachably coupled to the groups of sensor pads through the orienting slots in the modular bracing member. The sensor modules are provided with physiological sensing circuits wirelessly communicative with the intelligent health system.

Abstract: A method for analyzing gait is provided for a system including multiple accelerometers. The method includes: for each time point and each accelerometer, calculating a root mean square (RMS) value according to the accelerations sensed on sensing axes of the corresponding accelerometer; calculating a cross correlation coefficient according to the RMS values of a first accelerometer and a second accelerometer; calculating a first auto-correlation coefficient of the RMS values of the first accelerometer; calculating a second auto-correlation coefficient of the RMS values of the second accelerometer; and calculating a first gait index according to the cross correlation coefficient, the first auto-correlation coefficient, and the second auto-correlation coefficient.