The growing demand for reliable wearable devices that can continuously monitor vital signs and track health under various conditions, impose challenging constraints on battery life. Wearable devices typically include a photoplethysmogram (PPG) sensor, which is used for various applications such as monitoring heart rate (HR) and blood oxygenation (SpO2). The efficiency of these applications depends on the quality of the PPG sensor, which acquires raw data through the analog front-end and transmits it externally. This paper presents a novel Register Transfer Level (RTL) block that evaluates the quality of the PPG signal. This Signal Quality Assessment (SQA) RTL block is derived from postprocessing algorithms and converted into a real-time singlesample evaluation algorithm and provides significant benefits to the sensor with minimal overhead in terms of energy and area consumption.
A Signal Quality Assessment Algorithm for Photoplethysmographic Sensors
Grasso A. D.
2025-01-01
Abstract
The growing demand for reliable wearable devices that can continuously monitor vital signs and track health under various conditions, impose challenging constraints on battery life. Wearable devices typically include a photoplethysmogram (PPG) sensor, which is used for various applications such as monitoring heart rate (HR) and blood oxygenation (SpO2). The efficiency of these applications depends on the quality of the PPG sensor, which acquires raw data through the analog front-end and transmits it externally. This paper presents a novel Register Transfer Level (RTL) block that evaluates the quality of the PPG signal. This Signal Quality Assessment (SQA) RTL block is derived from postprocessing algorithms and converted into a real-time singlesample evaluation algorithm and provides significant benefits to the sensor with minimal overhead in terms of energy and area consumption.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
