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005 | 20250223031100.0 | ||
008 | 141028s2013 ua dh f m 000 0 eng d | ||
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_aEG-GiCUC _beng _cEG-GiCUC |
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041 | 0 | _aeng | |
049 | _aDeposite | ||
097 | _aM.Sc | ||
099 | _aCai01.20.01.M.Sc.2013.Am.R | ||
100 | 0 | _aAmal Naji Dawood Saleh Elsari | |
245 | 1 | 0 |
_aReal time of quality improvement of electrocardiography measured by body sensors / _cAmal Naji Dawood Saleh Elsari |
246 | 1 | 5 | _aتحسين جودة تخطيط القلب المُقاس بـالبدلة الاستشعارية في الوقت الحقيقي |
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_aCairo : _bAmal Naji Dawood Saleh Elsari , _c2013 |
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_a116 Leaves : _bcharts , facsimiles ; _c30cm |
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502 | _aThesis (M.Sc.) - Cairo University - Faculty of Computers and information - Department of Information Technology | ||
520 | _aBody sensor network (BSN) is a network of sensor attached to human bodies. This body sensor is simple and effective biophysical data captured in real time to monitor human activities. The captured biophysical data are widely used in many healthcare systems. One of the most popular healthcare measurements in BSN is electrocardiogram (ECG). Electrocardiogram (ECG) uses body sensors to record the electrical activity of the heart in order to help diagnosis of heart disease, and to monitor how well heart medicine is working. ECG signal helps doctors to plan the treatment of heart condition. ECG measured in laboratory is usually contaminated by various types of noises. The most common noises are originated from the power line interference, baselines wander and motion artifact. Common noise sources are also affected the body ECG sensor | ||
530 | _aIssued also as CD | ||
653 | 4 | _aBody sensor network (BSN) | |
653 | 4 | _aBody sensors | |
653 | 4 | _aElectrocardiography measured | |
700 | 0 |
_aReda Elkhoribi , _eSupervisor |
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856 | _uhttp://172.23.153.220/th.pdf | ||
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_aAml _eCataloger |
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_aNazla _eRevisor |
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_2ddc _cTH |
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_c48008 _d48008 |