Publications by authors named "Ronghao Meng"
[Heart rate extraction algorithm based on adaptive heart rate search model].
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi
June 2022
Article Synopsis
- Photoplethysmography (PPG) is a cost-effective, non-invasive method for measuring heart rate, commonly found in smart wearable devices, but struggles with accuracy during high-intensity movement due to noise interference.
- This paper introduces a heart rate extraction algorithm that utilizes a self-adaptive model to filter out noise by analyzing preprocessed acceleration and PPG signals, allowing for more precise heart rate measurements.
- Experimental results show that the proposed algorithm significantly reduces measurement errors, achieving an average absolute error of 1.12 bpm during training and 3.19 bpm during testing, indicating its effectiveness for real-time use in wearable tech.