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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hyonyoung Han Min-Joon Kim Jung Kim |
| Copyright Year | 2007 |
| Description | Author affiliation: Korea Adv. Inst. of Sci. & Technol., Daejeon (Hyonyoung Han; Min-Joon Kim; Jung Kim) |
| Abstract | This paper presents a motion artifact reduction algorithm for a real-time, wireless and wearable photoplethysmography (PPG) device for measuring heart beats. A wearable finger band PPG device consists of a 3-axis accelerometer, infrared LED, photo diode, a microprocessor and wireless module. Sources of the motion artifacts were investigated from the hand motions, through computing the correlations between the three directional finger motions and distorted PPG signals. A two-dimensional active noise cancellation algorithm was applied to compensate the distorted signals by motions, using the directional accelerometer data. NLMS (Normalized Least Mean Square) adaptive filter (4th order) was employed in the algorithm. As a result, the signals' distortion rates were reduced from 52.34% to 3.53%, at frequencies between 1 and 2.5 Hz, which representing daily motions such walking and jogging. The wearable health monitoring device equipped with the motion artifact reduction algorithm can be integrated as a terminal in a so-called ubiquitous healthcare system, which provides a continuous health monitoring without interrupting a daily life. |
| Starting Page | 1538 |
| Ending Page | 1541 |
| File Size | 459657 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424407873 |
| ISSN | 1557170X |
| DOI | 10.1109/IEMBS.2007.4352596 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-08-22 |
| Publisher Place | France |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Biomedical monitoring Fingers Accelerometers Light emitting diodes Distortion measurement Motion measurement Heart beat Microprocessors Noise cancellation Adaptive filters |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition |
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