Research On Domestic Sleep Monitoring System

Most of us spend one-third of life time in sleep, we can eliminate fatigue, improve working and learning efficiency through sleeping. However, the incidence of sleep disorders are more and more serious as the work and psychological pressure increasing. Treatment of sleep disorder and evaluation can not do without sleep monitoring. The traditional diagnosis and treatment of disease occurred in the hospital, but if we want to achieve better effect, it should be family-oriented care, due to the characteristics of sleep disorder. In this paper, we have studied a home monitoring system to monitor the sleep apnea syndrome(SAS) ,according to the demand of family care.It needs some Physiological informations in this system, including information on sleep architecture, respiratory, body movement and blood oxygen saturation. In order to get these informations, we should design new circuit to acquire the ECG signal, the respiratory signal, the body moving signal and the blood oxygen saturation signal. Currently, these technologies for physiological signal acquisition are very perfect. However, the signals after AD conversion are polluted by noise, so we should filter the digital signal using IIR and Roller algorithm.Our destination is to get physiological information from the physiological signals. The body moving signal shows the body moving information, we can get it through"MSE threshold" algorithm. Finger transmitted light intensity signals include two kinds, one is produced by red light, the other is produced by Infrared red light, extracte DC and AC components, and then we can get information on oxygen saturatio using empirical formula. Using the "Difference threshold" algorithm we can get the time and amplitude of the R wave in ECG signal, then we can get the Respiratory information using the "MSE threshold" algorithm and sleep stage information using the Hidden Markov Model(HMM).The"Roller"is presented in this paper as a new filtering algorithm. The idea come from the observation of the process of the roller operations. This algorithm is suitable for the designing of low pass filter, whose original signal is continuous and smooth signal. only one parament, a series of roller radius, is needed during the designing process. So it is very simple to design new filter, and the filter have a high operating speed, because the process only involves addition operations, and the total execute times decided by the total number of cycles.