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This paper presents an active noise cancellation technique that utilizes an accelerometry measurement to recover corrupted wearable health monitoring signals. The technique presented here requires no calibration for each patient and is computationally efficient. Also, a method of determining when the desired signal is correlated with the motion reference is presented with a means of partial signal...
Motion artifact reduction and separation become critical when medical sensors are used in wearable monitoring scenarios. Previous research has demonstrated that independent component analysis (ICA) can be applied to pulse oximeter signals to separate photoplethysmographic (PPG) data from motion artifacts, ambient light, and other interference in low-motion environments. However, ICA assumes that all...
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