Abstract: The present invention is related to a biological data sensor for measuring biological data from a user. The biological data sensor comprises a sensing module and a wearable charging module. The sensing module is formed by flexible printed circuit (FPC) and attached to the user's skin. The sensing module includes light emitting units, at least one sensing unit, and a rechargeable battery. The light emitting unit emits a first sensing light onto the user's skin. The first sensing light is transmitted onto the user's skin and reflected from the user's skin as a second detecting light. The sensing unit receives the second sensing light and outputs the biological data. The rechargeable battery is electrically connected to the light emitting units and the sensing unit, and the rechargeable battery provides power to the light emitting units and the sensing unit. The wearable charging module is worn on a part of the user adjacent to the sensing module.

Abstract: The present invention provides a system and method for blood pressure measurement, a computer program product using the method, and a computer-readable recording medium thereof. The present invention uses a sensor to measure an electrophysiological signal and establishes a personalized cardiovascular model through a numerical method, and re-establishes the personalized cardiovascular model through an optimization algorithm. Thus, a human physiological parameter generated from the re-established personal cardiovascular model matches the electrophysiological signal. Therefore, the present invention can provide accurate measurement results with the advantage of a small size, and can be applied to telemedicine field.

Abstract: The present invention provides a system and method for blood pressure measurement, a computer program product using the method, and a computer-readable recording medium thereof. The present invention uses a sensor to measure an electrophysiological signal and establishes a personalized cardiovascular model through a numerical method, and re-establishes the personalized cardiovascular model through an optimization algorithm. Thus, a human physiological parameter generated from the re-established personal cardiovascular model matches the electrophysiological signal. Therefore, the present invention can provide accurate measurement results with the advantage of a small size, and can be applied to telemedicine field.