A Wireless Pulse Diagnostic Device Utilizing MEMS Pressure Sensor Array for Sleep Apnea Detection

Inspired by traditional Chinese medicine (TCM) pulse diagnosis, a wireless pulse diagnostic device, based on a micro-electromechanical systems (MEMS) pressure sensor array, was designed to detect sleep apnea. The arrayed MEMS pressure sensor configuration within a silica gel casing, capturing multidimensional pulse signals at the radial artery positions. Pulse signals were collected from volunteers during normal breathing and breath-holding scenarios to establish a comprehensive sleep apnea recognition database. A feature vector incorporating the pulse contour characteristic K-value, reflection index (RI), power ratio (PR), and heart rate (HR) was created for classification model training using a support vector machine (SVM). Experimental results showed that the accuracy of pulse wave signal feature vector classification is 99.33% and the sensitivity is 98%. Overall, this device offers innovative technical support and significant application potential to advance modernized traditional Chinese diagnostic methods and intelligent medical devices.