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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Mesbah, M. Khlif, M.S. East, C. Smeathers, J. Colditz, P. Boashash, B. |
| Copyright Year | 2011 |
| Description | Author affiliation: Centre for Clinical Research, The University of Queensland, Brisbane, Australia (Mesbah, M.; Khlif, M.S.; Colditz, P.) || Qatar University College of Engineering, Qatar University Doha, Qatar (Boashash, B.) || Department of Obstetrics and Gynaecology, the University of Melbourne, Melbourne, Australia (East, C.) || School of Human Movement Studies Queensland University of Technology, Brisbane, Australia (Smeathers, J.) |
| Abstract | Monitoring fetal wellbeing is a compelling problem in modern obstetrics. Clinicians have become increasingly aware of the link between fetal activity (movement), well-being, and later developmental outcome. We have recently developed an ambulatory accelerometer-based fetal activity monitor (AFAM) to record 24-hour fetal movement. Using this system, we aim at developing signal processing methods to automatically detect and quantitatively characterize fetal movements. The first step in this direction is to test the performance of the accelerometer in detecting fetal movement against real-time ultrasound imaging (taken as the gold standard). This paper reports first results of this performance analysis. |
| Starting Page | 7877 |
| Ending Page | 7880 |
| File Size | 895937 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424441211 |
| ISSN | 1557170X |
| e-ISBN | 9781457715891 |
| e-ISBN | 9781424441228 |
| DOI | 10.1109/IEMBS.2011.6091942 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-08-30 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Ultrasonic imaging Acceleration Monitoring Time frequency analysis Fetus Detectors |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition |
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