Disturbance Free Detection System For Sleep Apnea Syndrome With Multi-information Interaction

In people’s daily life,a good quality of sleep is particularly important.The health will be greatly affected,if it’s not guaranteed the quality sleep.The quality sleep is most affected by sleep apnea syndrome,which is a potentially dangerous high-risk disease.Polysomnography is has accepted inspection standard of sleep apnea syndrome in medical circles.It is through the detection of several human body physiology parameters and the subjective diagnose from physician.However,polysomnography instruments are expensive,sophisticated use and interfere with the natural sleep,and most patients do not have the opportunity or the timely diagnosis and treatment.Therefore,there is an urgent need for a diagnostic instrument that is simple to operate,inexpensive,and can enter an ordinary home.In response to the above situation,many portable sleep monitoring devices and monitoring software on mobile phones have appeared,but there are still some problems:the single source of the data,the ambiguous pertinence and the substantial inaccuracies.All the above problems are fully considered and a multi-information interactive sleep apnea syndrome non-disruptive detection system is developed in this paper.A microphone array,a fiber optic sensor and a large-area flexible array pressure sensor is used in the sleep apnea syndrome non-disruptive detection system to collect human physiological signals and achieve a non-disruptive detection without any influence on the natural sleep of the human.The microphone array with directional pickup is used to collect the hum,then denoised the hum signal,extracted the intensity characteristics,and detected the pause interval of the hum.The micro-motion signal of human body is collected by optical fiber micro-bending effect optical fiber sensor.According to the difference of frequency and intensity between the micro-motion signal of human heart beating and chest breathing,the waveforms of heart rate and respiratory rate are separated.The two-dimensional matrix of the human pressure distribution collected by the flexible array pressure sensor is converted into a sleeping posture pressure image.The three sleeping postures are extracted and recognized by the digital image processing technology.The detection system combines four physiological parameters such as human heart rate,respiration rate,snoring and sleeping position,establishes a model for detecting and assessing the risk level of sleep apnea syndrome,performs real-time analysis and diagnosis and generates a health report.The experimental results show that the non-interference detection system of sleep apnea syndrome with multi-information interaction achieves good results.The system also provides a rich visual interface to clearly display human physiological information and analysis results.It is expected to track and record the changes of individual snoring in the family environment for a long time,and provide a detection technology for personalized treatment of sleep apnea syndrome.