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المؤلفAl-Kababji, Ayman
المؤلفShidqi, Lisan
المؤلفBoukhennoufa, Issam
المؤلفAmira, Abbes
المؤلفBensaali, Faycal
المؤلفGastli, Mohamed Sadok
المؤلفJarouf, Abdulah
المؤلفAboueata, Walid
المؤلفAbdalla, Alhusain
تاريخ الإتاحة2022-12-29T07:34:43Z
تاريخ النشر2019
اسم المنشورProceedings - 2019 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Internet of People and Smart City Innovation, SmartWorld/UIC/ATC/SCALCOM/IOP/SCI 2019
المصدرScopus
معرّف المصادر الموحدhttp://dx.doi.org/10.1109/SmartWorld-UIC-ATC-SCALCOM-IOP-SCI.2019.00267
معرّف المصادر الموحدhttp://hdl.handle.net/10576/37821
الملخصMonitoring elderlies living alone has been a rising issue that caregivers are interested in solving since many elderlies are at risk of experiencing a fall. In the absence of urgent help, serious consequences may occur. This paper presents a complete communication system to monitor elderlies by checking their Electrocardiogram (ECG) and accelerometer data through a cloud-based server anytime on a mobile application ensuring that they are unharmed. This has been implemented by having a Multi-core Processing Unit (MPU), acting as a gateway, at the elderly's side monitoring signals coming from a wearable sensing device. It will classify ECG and accelerometer data using Machine Learning algorithms, stream the data upon request, alert caregivers through a mobile application and store the data on the database for further analysis in case of a fall. Fall detection had an accuracy of 95% using Extended Nearest Neighbor (E-NN) learning algorithm. 2019 IEEE.
راعي المشروعACKNOWLEDGMENTS This paper was made possible by the National Priorities Research Program (NPRP) grant No. 9-114-2-055 from the Qatar National Research Fund (a member of Qatar Foundation). The statements made herein are solely the responsibility of the authors.
اللغةen
الناشرInstitute of Electrical and Electronics Engineers Inc.
الموضوعEcg monitoring
Fall detection
Internet of things (iot)
Mobile application
Multi-core processing unit (mpu)
Wearable sensing device
العنوانIot-based fall and ecg monitoring system: Wireless communication system based firebase realtime database
النوعConference Paper
الصفحات1480-1485
dc.accessType Abstract Only


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