Research and design of pulse wave sphygmomanometer based on RNN

Abstract

Aiming at the inconvenience and discontinuity of traditional cuff sphygmomanometer, a portable pulse wave sphygmomanometer is designed. The sphygmomanometer collects the pulse wave signal of the finger end through the photoelectric sensor，preprocesses the pulse wave signal and the blood pressure in a micro controller, and predicts and calculates the blood pressure value by training and optimizing a circulating neural network prediction model. Blood pressure values will be displayed on the OLED display, ultimately realizing real-time continuous blood pressure monitoring. After tested, portable pulse wave sphygmomanometer blood pressure prediction error is within plus or minus 5 mmHg, in line with international sphygmomanometer measurement error range. The portable RNN-based pulse wave sphygmomanometer designed in this paper provides a high reference value for the development and design of intelligent wear health monitoring equipment.

Keywords

• portable
• pulse wave
• sphygmomanometer
• recurrent neural network