Coma Patient Health Monitoring System Using IOT

R, Subha; Haritha, M.; Nithishna, B; Monisha, S

doi:10.1109/icaccs48705.2020.9074174

Cited by 12 publications

(1 citation statement)

References 7 publications

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“…Since there is a negligible possibility of verbal or nonverbal communication, the importance of vitals to convey information becomes crucial. IoT-based sensors like body temperature, BP, heartbeat, and EEG are used to detect state changes to confirm if the patient needs something (Subha et al, 2020). As comatose patients have no sense of nature's calls, like urination and excretion, ultrasound sensors are used to determine urine levels (Terna et al, 2020).…”

Section: Monitoring Mental Health and Cognitive Diseasesmentioning

confidence: 99%

IoT-Based Technologies for Addressing the Unique Healthcare Needs of the Elderly Population

Ali,

Khan

2024

IJAIML

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This paper is a review of the current state of IoT-based technologies in the healthcare field for the elderly population. The increasing population of elderly people has led to a greater demand for healthcare services to meet their unique needs. IoT-based technologies have emerged as a promising solution to address this demand. The paper analyzes the current trends, challenges, and future opportunities for research in this area. It highlights how IoT-based technologies can be utilized to improve healthcare for older adults, from remote monitoring and telemedicine to fall detection and medication management. The paper also acknowledges that there are still challenges to be addressed, such as data privacy and security, but the potential benefits for older adults outweigh the challenges. The paper also examines the impact of the industrial revolution on the aging population and the corresponding increase in demand for geriatric healthcare. In summary, this paper delves into the current status of IoT-based technologies in geriatric healthcare and its future prospects, with a focus on addressing the needs of the aging population and improving their quality of life.

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Section: Monitoring Mental Health and Cognitive Diseasesmentioning

confidence: 99%