Artificial Intelligence, Sensors and Vital Health Signs: A Review

Artificial Intelligence, Sensors and Vital Health Signs: A Review

Large amounts of patient vital/physiological signs data are usually acquired in hospitals manually via centralized smart devices. The vital signs data are occasionally stored in spreadsheets and may not be part of the clinical cloud record; thus, it is very challenging for doctors to integrate and a...

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Bibliographic Details
Published in:Applied sciences Vol. 12; no. 22; p. 11475
Main Authors: Junaid, Sahalu Balarabe, Imam, Abdullahi Abubakar, Shuaibu, Aliyu Nuhu, Basri, Shuib, Kumar, Ganesh, Surakat, Yusuf Alhaji, Balogun, Abdullateef Oluwagbemiga, Abdulkarim, Muhammad, Garba, Aliyu, Sahalu, Yusra, Mohammed, Abdullahi, Mohammed, Yahaya Tanko, Abdulkadir, Bashir Abubakar, Abba, Abdullah Alkali, Kakumi, Nana Aliyu Iliyasu, Alazzawi, Ammar Kareem
Format: Journal Article
Language:English
Published: Basel MDPI AG 01-11-2022
Subjects:
Artificial intelligence
Body temperature
Cloud computing
Data acquisition
Gait
Health care
Health care delivery
healthcare
Illnesses
Information technology
Internet
Internet of Things
machine learning
Medical equipment
Patients
Physiology
Radio frequency identification
Respiration
Sensors
Telemedicine
Vital signs
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Summary:Large amounts of patient vital/physiological signs data are usually acquired in hospitals manually via centralized smart devices. The vital signs data are occasionally stored in spreadsheets and may not be part of the clinical cloud record; thus, it is very challenging for doctors to integrate and analyze the data. One possible remedy to overcome these limitations is the interconnection of medical devices through the internet using an intelligent and distributed platform such as the Internet of Things (IoT) or the Internet of Health Things (IoHT) and Artificial Intelligence/Machine Learning (AI/ML). These concepts permit the integration of data from different sources to enhance the diagnosis/prognosis of the patient’s health state. Over the last several decades, the growth of information technology (IT), such as the IoT/IoHT and AI, has grown quickly as a new study topic in many academic and business disciplines, notably in healthcare. Recent advancements in healthcare delivery have allowed more people to have access to high-quality care and improve their overall health. This research reports recent advances in AI and IoT in monitoring vital health signs. It investigates current research on AI and the IoT, as well as key enabling technologies, notably AI and sensors-enabled applications and successful deployments. This study also examines the essential issues that are frequently faced in AI and IoT-assisted vital health signs monitoring, as well as the special concerns that must be addressed to enhance these systems in healthcare, and it proposes potential future research directions.
ISSN:2076-3417
2076-3417
DOI:10.3390/app122211475