این سایت در حال حاضر پشتیبانی نمی شود و امکان دارد داده های نشریات بروز نباشند
Journal of Research in Medical Sciences، جلد ۱۶، شماره ۱۱، صفحات ۰-۰
عنوان فارسی
چکیده فارسی مقاله
کلیدواژه‌های فارسی مقاله
عنوان انگلیسی Ischemia detection by electrocardiogram in wavelet domain using entropy measure
چکیده انگلیسی مقاله Normal 0 false false false EN-US X-NONE FA /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:Arial; mso-bidi-theme-font:minor-bidi;} BACKGROUND : Ischemic heart disease is one of the common fatal diseases in advanced countries. Because signal perturbation in healthy people is less than signal perturbation in patients, entropy measure can be used as an appropriate feature for ischemia detection. METHODS : Four entropy-based methods comprising of using electrocardiogram (ECG) signal directly, wavelet sub-bands of ECG signals, extracted ST segments and reconstructed signal from time-frequency feature of ST segments in wavelet domain were investigated to distinguish between ECG signal of healthy individuals and patients. We used exercise treadmill test as a gold standard, with a sample of 40 patients who had ischemic signs based on initial diagnosis of medical practitioner. RESULTS : The suggested technique in wavelet domain resulted in the highest discrepancy between healthy individuals and patients in comparison to other methods. Specificity and sensitivity of this method were 95% and 94% respectively. CONCLUSIONS : The method based on wavelet sub-bands outperformed the others. KEYWORDS : Ischemia, Electrocardiogram, Exercise Test
کلیدواژه‌های انگلیسی مقاله entropy, ischemia, wavelet
نویسندگان مقاله حسین ربانی | hossein rabbani
assistant professor, biomedical engineering department, medical image and signal processing research center, isfahan university of medical sciences, isfahan, iran

سازمان اصلی تایید شده: دانشگاه علوم پزشکی اصفهان (Isfahan university of medical sciences)

محمد پارسا محجوب | mohammad parsa mahjoob
associate professor, school of medicine, shahid beheshti university of medical sciences, tehran, iran

سازمان اصلی تایید شده: دانشگاه علوم پزشکی شهید بهشتی (Shahid beheshti university of medical sciences)

ایمان فرح آبادی | eiman farahabadi
biomedical engineering department, medical image and signal processing research center, isfahan university of medical sciences, isfahan, iran

سازمان اصلی تایید شده: دانشگاه علوم پزشکی اصفهان (Isfahan university of medical sciences)

امین فرح آبادی | amin farahabadi
biomedical engineering department, medical image and signal processing research center, isfahan university of medical sciences, isfahan, iran

سازمان اصلی تایید شده: دانشگاه علوم پزشکی اصفهان (Isfahan university of medical sciences)

علیرضا مهری دهنوی | alireza mehri dehnavi
associate professor, biomedical engineering department, medical image and signal processing research center, isfahan university of medical sciences, isfahan, iran

سازمان اصلی تایید شده: دانشگاه علوم پزشکی اصفهان (Isfahan university of medical sciences)

نشانی اینترنتی http://jrms.mui.ac.ir/index.php/jrms/article/view/6559
فایل مقاله فایلی برای مقاله ذخیره نشده است
کد مقاله (doi)
زبان مقاله منتشر شده en
موضوعات مقاله منتشر شده
نوع مقاله منتشر شده Original Articles
برگشت به: صفحه اول پایگاه   |   نسخه مرتبط   |   نشریه مرتبط   |   فهرست نشریات