可穿戴计算机
物联网
可穿戴技术
互联网
计算机科学
人工智能
医疗保健
互联网隐私
计算机安全
医疗急救
医学
万维网
嵌入式系统
经济
经济增长
出处
期刊:Elsevier eBooks
[Elsevier]
日期:2023-01-01
卷期号:: 131-146
被引量:3
标识
DOI:10.1016/b978-0-323-91916-6.00006-0
摘要
The present chapter is focused on the latest available technique and technology helpful in monitoring a large number of people having after corona disease effect. The most favorable way of monitoring a large number of people together can be possible only through the online wireless monitoring system. Artificial intelligence (AI) and machine learning (ML) technique-based systems can only handle this kind of post COVID scenario, as it is quick, accurate and many a time automatic. Thus present book chapter is focused on the review of the present latest AI/ML-based health monitoring systems. Separate sub-topics on cardiac, nephrology, and diabetics have been taken elaborately. The health monitoring system shall be capable of monitoring diseases such as cardiac, nephrology, and diabetes. Internet of things (IoT) wearable devices (medical sensors) are useful for recording various body parameters of the patient like comprehensive pressure, fever, physics activity, heart rate, etc. A real-time IoT-based system is capable to deliver the data to caregiving medical centers, doctors, or family members for proper treatment. IoT-based patient monitoring has a few drawbacks related to the error in analysis and acceptability among the medical fraternity. Other issues include security and privacy. Devices capture private health-related information and these data are highly vulnerable as being in the public domain through the internet. Thus it may attract unethical people for misuse.
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