Analysis of the Effect of IoT-based Wearables in Healthcare Applications

Parvez, Shaik Junaid; Babu, Shaik Salman; Farook, Shaik; Baraneedharan, P

doi:10.1109/icais56108.2023.10073791

Cited by 3 publications

(2 citation statements)

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“…Prototypes of the electronic health record (EHRs) of the future provide doctors with a complete picture of their patient's health. The research by Parvez et al (2023) looked at healthcare for the elderly in rural India and proposed a system called the Rural Smart Healthcare System (RSHS). With the help of IoT, medical devices may share data with one another and with medical professionals.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Blockchain technology ensures the safe transfer of patient data to medical professionals and academic institutions. In addition, this method allows for adequate scalability of the confidential medical data (Parvez et al, 2023). There is a dire need for smart health care systems due to the convergence of IoT and the medical sector.…”

Section: Electroencephalography (Eeg)mentioning

confidence: 99%

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Smart Medical Systems Based IoT: Exploring the Relationship Between Essential Algorithms and Service Orientation

Abugabah

2023

JOWUA

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This study examines the most recent research publications that focus on the Internet of Things (IoT) in medical systems including health monitoring, fitness programs, etc., as a consequence of the IoT's explosive growth in these areas. The monitoring efficiency of IoT-based healthcare systems has been the subject of much study. In this paper, we go into the architecture of the Internet of Things, namely the cloud-integrated systems. As accuracy and power consumption are major issues in the Internet of Things, studies that aim to enhance the efficiency of healthcare systems that rely on the IoT are highlighted. This research also provides a thorough examination of the strategies used for data management in IoT-based healthcare systems that make use of cloud services. The benefits and drawbacks of the IoT-based healthcare system are discussed, as well as its performance. Studies often have a high percentage of success in identifying multiple symptoms and making illness predictions. When it comes to keeping tabs on the health of the elderly population, the Internet of Things-based healthcare system developed specifically for them is an effective answer. Existing systems have many drawbacks, including high power consumption, limited resources, and security concerns brought on by the use of several devices which are discussed in the paper.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Electroencephalography (Eeg)mentioning

confidence: 99%