A Robust Peak Detection Algorithm for Photoplethysmographic Waveforms in Mobile Devices

作者：Thang Viet Tran; Chung Wan Young^*

来源：Journal of Medical Imaging and Health Informatics, 2017, 7(7): 1617-1623.

DOI：10.1166/jmihi.2017.2175

• Photoplethysmography (PPG)
• Peak Detection
• Robust Algorithm
• Random Error Detection
• Mobile Devices

Photoplethysmography (PPG) is as a commonly used practical tool for healthcare monitoring, and enables the detections of heart rate, heart rate variability, mental stress, and blood pressure. However, one of the problems encountered when applying PPG technology to wearable healthcare systems involve the peak detection method for the PPG waveforms under motion artifact conditions. Therefore, we present a robust method that is based on the adaptive threshold method to detect the distorted PPG peak that come from motion artifacts and respiration. The proposed algorithm includes an adaptive peak detection method and a random error detection method that can easily eliminate these wrong peaks contained in the original signal. An IEEE-802.15.4 wireless personal area network is created using the low-power sensor nodes to simultaneously collect PPG signals within a distance of similar to 10 m from patients to the base station. The proposed algorithm is also applied to a mobile platform that is able to send a patient IDs over a Bluetooth link to a base station. This enables us to select a PPG signal to monitor the results. The analyzed results show that the failed detection rate as only 1.1% in our algorithm compared with 6.1% in the adaptive detection threshold algorithm under real motion artifacts and respiration conditions.

• 出版日期2017-11