Photoplethysmography

Remote photoplethysmography is becoming increasingly common in telemedicine for non-invasive physiological monitoring of the cardiovascular system. However, signal reliability has been reduced due to noise and artifacts, which requires reliable diagnostic and filtering methods. The research aim is to evaluate existing methods and algorithms for diagnosing and filtering remote photoplethysmography signals to improve the accuracy of human cardiovascular monitoring.

The measurement of arterial hemoglobin oxygen saturation, pulse, and blood pressure was presented. A review of methods for measuring arterial hemoglobin oxygen saturation based on photoplethysmography was provided. The architecture of the hardware and software platform of a cyber-physical system for the primary processing and transmission of information signals, based on a microcontroller with hardware encryption and a Bluetooth module for transmitting encrypted data to a mobile device and a remote server, was considered.