Key result
A 3D gyroscope attached to the sternum performed best among tested sensors in removing motion artifacts from wireless ECGs using an adaptive filter.
Why the study?
Wireless ECG measurements are easily affected by motion artifacts, requiring reference models from motion sensors to detect and remove them.
Which reference sensor type and position is best for removing motion artifacts in wireless ECGs?
Which reference sensor type and position is best for removing motion artifacts in wireless ECGs?
For wireless ECG monitoring, placing a gyroscope on the sternum provides the best performance for removing motion artifacts using an adaptive filter.
Wireless electrocardiograms (WECGs) allow longterm monitoring of patients in their residential and work environments. However, the measurements are easily affected by motion artifacts. To reason about and remove the artifacts, reference models (signals) are needed. One way to construct these models is by employing motion sensors that pick up the motion affecting the electrodes of a WECG. In this paper, we experimentally examine the existence of correlations between the measurements of inertial sensors and motion artifacts. We employed three reference sensor types (3D accelerometer, 3D gyroscope, and skin impedance sensor). Our analysis includes actual measurements taken from eleven healthy subjects carrying out six different movements: Stand up, bend forward, walking, running, jumping and climbing stairs. We found that the best place to attach inertial sensors is the sternum of the torso. Although all three sensor types exhibit comparable levels of correlation to isolated motion artifacts, the gyroscope performs best in removing motion artifacts with an adaptive filter.
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Lilienthal et al. (2021) studied Healthy subjects (n=11). Reference sensors (3D accelerometer, 3D gyroscope, and skin impedance sensor) was evaluated on Correlation to isolated motion artifacts and performance in removing motion artifacts. A 3D gyroscope attached to the sternum performed best among tested sensors in removing motion artifacts from wireless ECGs using an adaptive filter.
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