Wrist watch type multi-parameter biosensor

The invention discloses a wrist watch type multi-parameter biosensor and relates to a self-adaptive detection method for physiological parameters and a multi-parameter intelligent monitoring wrist watch by the adoption of the method. The method comprises the steps that (1) human physiological parameter signals are collected; (2) the human physiological parameter signals are subjected to self-adaptive wavelet decomposition, and feature predictors and updaters are selected point by point in the decomposition process; (3) waveform analysis is conducted, interference signals in the decomposed signals are eliminated, and human physiological parameter signals without interference are obtained. The monitoring wrist watch comprises a base body, wherein the base body is provided with a central processing unit, a physiological parameter sensor used for collecting the human physiological parameter signals and various other sensors. The central processing unit processes data by the adoption of a self-adaptive wavelet decomposition method to obtain the human physiological parameter signals without interference. The wrist watch type multi-parameter biosensor effectively solves the problem of instability caused by large contact resistance generated when a daily wearing mode is adopted. The wrist watch type multi-parameter biosensor is convenient to use and can collect various human physiological signals, movement signals, environment signals and the like in real time.