Improving remote health monitoring: A low-complexity ECG compression approach
المؤلف | Elgendi, Mohamed |
المؤلف | Al-Ali, Abdulla |
المؤلف | Mohamed, Amr |
المؤلف | Ward, Rabab |
تاريخ الإتاحة | 2024-08-14T06:12:19Z |
تاريخ النشر | 2018 |
اسم المنشور | Diagnostics |
المصدر | Scopus |
الرقم المعياري الدولي للكتاب | 20754418 |
الملخص | Recent advances in mobile technology have created a shift towards using battery-driven devices in remote monitoring settings and smart homes. Clinicians are carrying out diagnostic and screening procedures based on the electrocardiogram (ECG) signals collected remotely for outpatients who need continuous monitoring. High-speed transmission and analysis of large recorded ECG signals are essential, especially with the increased use of battery-powered devices. Exploring low-power alternative compression methodologies that have high efficiency and that enable ECG signal collection, transmission, and analysis in a smart home or remote location is required. Compression algorithms based on adaptive linear predictors and decimation by a factor B/K are evaluated based on compression ratio (CR), percentage root-mean-square difference (PRD), and heartbeat detection accuracy of the reconstructed ECG signal. With two databases (153 subjects), the new algorithm demonstrates the highest compression performance (CR = 6 and PRD = 1.88) and overall detection accuracy (99.90% sensitivity, 99.56% positive predictivity) over both databases. The proposed algorithm presents an advantage for the real-time transmission of ECG signals using a faster and more efficient method, which meets the growing demand for more efficient remote health monitoring. |
اللغة | en |
الناشر | Multidisciplinary Digital Publishing Institute (MDPI) |
الموضوع | Digital medicine E-Health Mobile health Remote healthcare Smart healthcare Telemedicine Wearable sensors Wireless systems |
النوع | Article |
رقم العدد | 1 |
رقم المجلد | 8 |
الملفات في هذه التسجيلة
هذه التسجيلة تظهر في المجموعات التالية
-
علوم وهندسة الحاسب [2284 items ]