Design of smart wearable system for sleep tracking using SVM and multi-sensor approach

• Published in: JES. Journal of engineering sciences 2023-07, Vol.51 (4), p.1-15
• Main Authors: Abd al-Malak, Ahmad H., Fawwaz, Abd al-Rahman, al-Sayyid, Muizz, Abu Zayd, Muhammad Abu Zahad, Sayyid, Muhammad S., Abu Zahad, Muhammad M., Sharshar, Ahmad
• Format: Article
• Language: ara ; eng
• Subjects: internet of things; sleep tracking; wearable electronics; الأنظمة الإلكترونية; المستشعرات الحيوية; النوم
• ISSN: 1687-0530; 2356-8550
• DOI: 10.21608/jesaun.2023.205964.1220

Healthcare has been considered one of the main issues to be spotted and improved in a high manner. thus, many technology trends are customized for healthcare. one of the fields that highly affects health is sleeping. therefore, the development of a portable and cost-affordable sleep-tracking system has arisen. this could be done by monitoring vital signals that affect sleep quality such as heart rate, blood oxygen saturation, and positioning. furthermore, these signals are used to detect sleep stages and sleep quality. in this paper, commercial off-the-shelf sensors are used to develop a sleep quality monitoring system. the aim is to make it cheap, portable, lightweight, and easy to use with good sleep quality and sleep stage detection. rem and NREM sleep cases are also investigated based on EEG signals which measure brainwaves. so, two types of delta waves that occur during rem sleep are differentiated. slower (2 HZ) waves were recorded in the medial-occipital areas that are present in both NREM and rem sleep, and quicker Sawtooth waves (2.5-3 HZ), were present in rem sleep only. in the proposed system the heart rhythm is measured by ECG signals using heart-rate sensors. ECG data is used to define rem and NREM by monitoring the heart rate variability (HRV), which changes as a person moves between light, deep, and rem sleep stages. in addition, the market-available amazfit T-rex pro watch is used for data labelling. comparison with similar systems shows that it performs better given its lower cost, lighter weight, and smaller size. the obtained results indicate that sleep quality and sleep stage accuracy are 97.5% and 67.5% respectively, which are better than similar systems used with commercial off-the-shelf sensors. تعتبر الرعاية الصحية إحدى القضايا الرئيسية التي يجب رصدها وتحسينها بطريقة عالية. وبالتالي، يتم تخصيص العديد من اتجاهات التكنولوجيا للرعاية الصحية. النوم هو أحد المجالات التي تؤثر بشكل كبير على الصحة، لذلك برزت أهمية تطوير النظام محمول لتتبع النوم وبأسعار معقولة. ويمكن القيام بذلك عن طريق مراقبة الإشارات الحيوية التي تؤثر على جودة النوم مثل معدل ضربات القلب، وتشبع الدم بالأكسجين، وتحديد المواقع علاوة على ذلك، تستخدم هذه الإشارات للكشف عن مراحل النوم ونوعية النوم. في هذه الورقة، يتم استخدام مجسات تجارية جاهزة للاستخدام لتطوير نظام مراقبة جودة النوم. الهدف هو جعله رخيصا ومحمولا وخفيف الوزن وسهل الاستخدام مع جودة نوم جيدة واكتشاف مرحلة النوم. يتم أيضا فحص حالات نوم حركة العين السريعة (REM) وحركة العين غير السريعة (NREM) استنادا إلى إشارات تخطيط ك