TY - GEN
T1 - Evaluating Home-Based EEG Systems for Public Health Telemonitoring
T2 - 2024 IEEE Healthcare Innovations and Point of Care Technologies, HI-POCT 2024
AU - Wong, Andrew
AU - Walishetti, Ankit
AU - Yang, Yuan
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - This comprehensive review examines the integration of home-based electroencephalography (EEG) systems within the scope of public health telemonitoring. The absence of housing and necessary resources in hospitals during the peak of the COVID-19 pandemic highlighted the necessity for remote healthcare on a global scale, spurring a wave of advancements in telehealth technologies and practices. One metric that was overlooked in this wave was the potential of home-based EEG monitoring. In this paper, we analyze various modern EEG devices suited for home use, detailing their technical specifications, capabilities, and the potential benefits they offer to both patients and healthcare systems. Overall, this review focuses on identifying the most viable home-based EEG systems for large-scale integration into public health telemonitoring services. We provide device cross-comparisons across an array of performance metrics, from ease of use to technological prowess to cloud compatibility. The current market for reliable, home-based EEG monitoring has not yet fully exploited newer advancements in technology, such as artificial intelligence and the Internet of Things (IoTs), signifying the potential for further growth of EEG integration into telehealth. Clinical Relevance- This paper conducts a thorough review of the potential application of home-based EEG systems in hospital-based telehealth initiatives.
AB - This comprehensive review examines the integration of home-based electroencephalography (EEG) systems within the scope of public health telemonitoring. The absence of housing and necessary resources in hospitals during the peak of the COVID-19 pandemic highlighted the necessity for remote healthcare on a global scale, spurring a wave of advancements in telehealth technologies and practices. One metric that was overlooked in this wave was the potential of home-based EEG monitoring. In this paper, we analyze various modern EEG devices suited for home use, detailing their technical specifications, capabilities, and the potential benefits they offer to both patients and healthcare systems. Overall, this review focuses on identifying the most viable home-based EEG systems for large-scale integration into public health telemonitoring services. We provide device cross-comparisons across an array of performance metrics, from ease of use to technological prowess to cloud compatibility. The current market for reliable, home-based EEG monitoring has not yet fully exploited newer advancements in technology, such as artificial intelligence and the Internet of Things (IoTs), signifying the potential for further growth of EEG integration into telehealth. Clinical Relevance- This paper conducts a thorough review of the potential application of home-based EEG systems in hospital-based telehealth initiatives.
KW - home-based systems
KW - neuroscience
KW - telehealth
UR - http://www.scopus.com/inward/record.url?scp=105000125044&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=105000125044&partnerID=8YFLogxK
U2 - 10.1109/HI-POCT64255.2024.10876203
DO - 10.1109/HI-POCT64255.2024.10876203
M3 - Conference contribution
AN - SCOPUS:105000125044
T3 - 2024 IEEE Healthcare Innovations and Point of Care Technologies, HI-POCT 2024
SP - 5
EP - 8
BT - 2024 IEEE Healthcare Innovations and Point of Care Technologies, HI-POCT 2024
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 19 September 2024 through 20 September 2024
ER -