Titulo Estágio
IoT Architecture for Wireless Smart Hospital Beds
Áreas de especialidade
Comunicações, Serviços e Infraestruturas
Engenharia de Software
Local do Estágio
Instituto de Sistemas e Robótica (ISR)
Enquadramento
This dissertation work is included in the CMU-Portugal WoW research project focusing on Wireless Biomonitoring Stickers of Untethered Patients in Hospital beds. The project is led by Glintt, one of the main provides of hospital information systems in the country, being present in about 80% of all hospitals in Portugal. Besides ISR-UC, the project also has the collaboration of the Coimbra Hospital and Universitary Centre (CHUC) and Soft Materials Lab at the Carnegie Mellon University (CMU), one of the most renown universities in the world.
The project foresees a stable version of the IoT architecture ready for the first prototype by summer 2021, which perfectly fits this dissertation schedule.
Objetivo
• Propose a secure and scalable smart bed IoT architecture for patients’ signal acquisition in hospital beds using several different sensing technologies, such as Bluetooth, WiFi and RFID.
• Develop and deploy IoT nodes as smart boxes embedded in hospital beds for data acquisition of wireless e-skin BioStickers attached to patients’ skin.
• Communicate biomonitoring parameters via a cloud server to a central patient management system.
• Employ AI techniques for classification and analysis of historical data of multimodal sensor data for patient long-term biomonitoring.
• Tests, adjustments, and validation of the Smart Bed IoT Infrastructure developed.
Plano de Trabalhos - Semestre 1
• Literature review on existing relevant systems.
• Basic firmware and low-level development and evaluation of the IoT kits concerning the adequacy and convenience for the project’s tasks.
• Implementation of secure and scalable wireless data acquisition and general communication between the patient monitoring Biostickers and the smart bed IoT node, including different wireless technologies such as Bluetooth, Wi-FI, possibly 4G/5G and RFID, and different sensor modalities, including temperature, heart rate, respiration, ECG, pulse, oximeter, thermistor, and strain sensors.
• Write the Intermediate Report.
Plano de Trabalhos - Semestre 2
• Develop local methods for detecting anomalies and events while monitoring patients and means of notification via de IoT architecture.
• Data integration and management of multiple similar IoT nodes in the cloud, and connection to the Glint’s Globalcare software, providing useful information at the disposal of health professionals.
• Preliminarily explore AI techniques, data analytics and data mining classification to extract relevant user profiles through long-term biomonitoring data of multiple anonymous users (in collaboration with CMU and CHUC).
• Iteratively test, refine, and validate the system, providing a stable version of the IoT architecture ready for the tests in the first prototype of the project by summer 2021. Thorough analysis of results and performance in a real-world pilot by assessing failure rate of communications and basic functionalities and test the security and scalability of the system.
• MSc. Dissertation writing and scientific paper on the subject.
Condições
Esta metodologia resultará numa arquitectura IoT com comprovado desempenho em termos de resultados obtidos num protótipo experimental real, que será devidamente demonstrada pelo aluno e documentada na sua Dissertação de Mestrado.
Observações
Este trabalho de dissertação irá decorrer tanto no Instituto de Sistemas e Robótica da Universidade de Coimbra (ISR-UC) como na empresa Ingeniarius, Lda., líder do consórcio SEMFIRE.
Orientador (ISR): Doutor David Portugal, david.portugal@deec.uc.pt
Co-orientador (ISR): Doutor Mahmoud Tavakoli, mahmoud@isr.uc.pt
Orientador
David Portugal
david.portugal@deec.uc.pt 📩