Cancellation of motion artifact induced by exercise for PPG-based heart rate sensing

Abstract

Heart rate (HR) sensing during exercise is essential for medical, healthcare and sport physiological purposes. Photo-Plethysmo-Graphy (PPG) is a simple and non-invasive technique for HR sensing, but it is highly sensitive to motion artifact. This paper proposes a cancellation technique of motion artifact in PPG-based HR sensing for a man during exercise. The canceller is equipped with two sensors; one is a normal PPG sensor where an LED/Photo-Detector (PD) contacts the skin to detect Blood Volume Pulse (BVP) (+motion artifact) and the other is a motion artifact sensor where an LED/PD does not contact the skin to detect only motion artifact. Experimental results show that the proposed technique, which is implemented in adaptive algorithms, can sense HR correctly by cancelling motion artifact induced by exercises such as running and jumping.

Real-Time Vital Monitoring for Persons during Exercises — Solutions and Challenges —

“…The effect of the two design parameters are examined in [13]. In addition, we confirmed that the proposed HR sensor works well for several exercises and motions such as standing-still, walking, fast-walking, running, jumping [12], [13] and deep breathing [14]. Furthermore, it should be noted that, defining the transversal filter output as y(n), the weight control algorithm tries to make the error e(n) between d(n) and y(n) be zero and BVP is obtained as "a residual error."…”

“…Especially when a sensor wearer exercises vigorously, the frequency component of the MA overlaps with that of the HR, so the MA cannot be canceled by a linear filter such as band pass filter (BPF). Figure 3 shows the principle of the MA canceling PPGbased HR sensor [12]. The proposed HR sensor is equipped with two LED/PDs.…”

Evaluation of pulse rate measurement with a wrist worn device during different tasks and physical activity

“…The few previous studies that evaluated wrist-based HR accuracy using PPG revealed conflicting results (Gorny, Liew, Tan, & Muller-Riemenschneider, 2017). Movement artefacts are thought to be a problem in the wrist-worn pulse rate measurements using PPG (Tamura, Maeda, Sekine, & Yoshida, 2014;Zhang, Pi, & Liu, 2015), especially during activities with increased intensity or particular arm and wrist movements (Gorny et al, 2017;Shimazaki, Hara, Okuhata, Nakamura, & Kawabata, 2014;Spierer, Rosen, Litman, & Fujii, 2015;Stahl, An, Dinkel, Noble, & Lee, 2016). Moreover, factors such as skin colour, skin temperature or body mass index (BMI) were shown potentially to affect measurement accuracy (Khan et al, 2015;Spierer et al, 2015;Valenti & Westerterp, 2013).…”

Elements of a real-time vital signs monitoring system for players during a football game

“…Fig. 3 (c) shows the relationship between the measured VO2 and the estimated VO2 by (7) with L=3 instead of (4). We can see in the figure a good agreement between the measured and estimated VO2s, but there is still a big problem in the EE sensing.…”

“…We have developed a vital signs monitoring system for two years in 2012 and 2013 [3][4][5][6][7]. It can collect and monitor vital signs such as HR, EE and BT from all (twenty two) players during a football game in real-time, periodically and reliably.…”