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توسعه یک روش تطبیقی جدید بر پایه تجزیه فوریه تجربی برای تشخیص آپنه خواب انسدادی به کمک تحلیل سیگنال الکتروکاردیوگرام | ||
مجله مهندسی برق دانشگاه تبریز | ||
دوره 53، شماره 3، آبان 1402، صفحه 159-170 اصل مقاله (1.53 M) | ||
نوع مقاله: علمی-پژوهشی | ||
شناسه دیجیتال (DOI): 10.22034/tjee.2023.54555.4563 | ||
نویسندگان | ||
معصومه پورعزت1؛ پیوند قادریان* 2؛ حامد داننده حصار3 | ||
1گروه بیوالکتریک، دانشکده مهندسی پزشکی، دانشگاه صنعتی سهند، تبریز، ایران | ||
2دانشکده مهندسی پزشکی، دانشگاه صنعتی سهند | ||
3دانشگاه صنعتی سهند تبریز | ||
چکیده | ||
آپنه خواب انسدادی یک اختلال شایع تنفسی در حین خواب است که میتواند عواقب منفی قابلتوجهی بر کیفیت زندگی و عملکرد روزانه افراد داشته باشد. در حال حاضر، پلیسومنوگرافی استاندارد اصلی تشخیص آپنه خواب است که نمیتواند انتظارات یک تشخیص سریع و اقتصادی را با تحلیل چندین سیگنال به صورت همزمان تأمین کند. در این راستا توسعه الگوریتمهای تشخیصی خودکار، قابل اعتماد و مقرون به صرفه حائز اهمیت است. از این رو در این مطالعه، با هدف تشخیص رویدادهای آپنه خواب انسدادی، یک الگوریتم تشخیص خودکار بر اساس تحلیل تک لید سیگنال الکتروکاردیوگرام ارائه شده است. بدین منظور از یک روش تطبیقی جدید مبتنی بر تجزیه فوریه تجربی و استخراج ویژگیهای آماری و بعد فرکتال از توابع باند ذاتی فوریه سیگنال به همراه الگوریتم انتخاب ویژگی ReliefFو طبقهبند جنگل تصادفی استفاده شده است. روش تجزیه فوریه تجربی میتواند به عنوان یک ابزار جدید تجزیه سیگنال قابلیت مناسبی در استخراج نوسانات مرتبط با اجزای غیر ایستای سیگنال ارائه دهد. در این مطالعه جهت بررسی قدرت تشخیص روش پیشنهادی از پایگاه داده Apnea-ECG که شامل ۷۰ ثبت از سیگنال الکتروکاردیوگرام تک کانال میباشد، استفاده شده است. نتایج حاصل نشان داده است که الگوریتم پیشنهادی قادر به تشخیص رویدادهای آپنه خواب انسدادی با مقادیر صحت 03/88%، حساسیت 44/83% و اختصاصیت 84/90% میباشد. صحت بالای نتایج به دستآمده به همراه تعداد ویژگیهای مناسب نشاندهنده مصالحه بین دقت و تعداد ویژگیهای استخراجشده میباشد که منجر به بار محاسباتی مناسب الگوریتم پیشنهادی میگردد که استفاده آن را در کاربردهای کلینیکی ممکن میسازد. | ||
کلیدواژهها | ||
آپنه خواب انسدادی؛ سیگنال الکتروکاردیوگرام؛ تجزیه فوریه تجربی | ||
مراجع | ||
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آمار تعداد مشاهده مقاله: 211 تعداد دریافت فایل اصل مقاله: 345 |