Master'sOpen Access

(IOT) kullanılan komatoz hasta takip sistemi

2023
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Advisor: Yrd. Doç. Dr. Mesut Çevik

Abstract (EN)

Coma-patient monitoring is a critical aspect of healthcare, as patients in comatose states require constant monitoring and care, lately, IoT has shown as a promising technology for healthcare applications, offering the potential to improve the accuracy and efficiency of patient monitoring, In this study, we suggest an (IoT) based coma patient monitoring system, which utilizes wearable sensors and wireless communication to collect and transmit real- time data on the patient's vital signs, movements, and also others. The system incorporates data analytics, artificial intelligence, and machine learning algorithms to analyze the collected data and provide healthcare professionals with mentionable insights into the state of the patient, The system also utilizes cloud computing and telemedicine technologies to enable remote monitoring and consultation, reducing the need for on-site healthcare professionals, We feel that our suggested method has the potential to dramatically enhance coma patients' quality of care.

Author

Dr. Hussam Ahmed Rammo Alıbrahıem

How to Cite

Hussam Ahmed Rammo Alıbrahıem (Master Thesis). (IOT) kullanılan komatoz hasta takip sistemi, 2023, Altınbaş University.

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