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Cardiovascular signal is a fundamental physiological sign to assess health condition. Continuous and long term health monitoring of infants would be helpful to prevent and predict illness. However, there is no noninvasive method to monitor their health. The developed system consists of a noncontact electrocardiogram (ECG) sensor with fully integrated analog front end (AFE), an accelerometer, and a Bluetooth low energy (BLE) module with USB charging module. The accelerometer output is the reference signal for Least Mean Square (LMS) adaptive filter. The LMS filter is a noise canceler that will adaptively remove the motion artifacts and interfer-

Design of a Wireless Non-Contact Wearable System for Infants Using Adaptive Filter