Abstract: A transduction unit of a non-contact human sleep physiological parameter detection sensor includes a circuit board, a piezoelectric film and conductive adhesives, wherein the piezoelectric film includes a film sheet and two electrodes, which are respectively arranged on two side faces of the film sheet; the piezoelectric film is attached to the circuit board; and the two electrodes of the piezoelectric film are respectively electrically connected to two exposed pad electrodes on the circuit board by means of the conductive adhesives.

Abstract: Disclosed is a human body health assessment method and assessment system based on sleep big data. The method and the system acquire biometric data of a human body in a long-term, stable, and ever-increasing manner, and clearly and definitely describe the physical conditions of a human being and predict future health thereof using advanced data mining technology. The method comprises: acquiring, by a sensor mounted on a bed, various physiological data of a human body during sleep and storing the same to a cloud server; and obtaining a physiological evaluation index using an artificial intelligence learning model and generating a health status analysis report of the human body. By acquiring the data of the sensor mounted on the bed, data training of the artificial intelligence learning model is performed, to allow the model to automatically learn features related to the health of the human body.