Mobile and wearable sensors for data-driven health monitoring system: State-of-the-art and future prospect

Anikwe, Chioma Virginia; Nweke, Henry Friday; Ikegwu, Anayo Chukwu; Egwuonwu, Chukwunonso Adolphus; Onu, Fergus Uchenna; Alo, Uzoma Rita; Wah, Teh Ying

doi:10.1016/j.eswa.2022.117362

Cited by 77 publications

(44 citation statements)

References 100 publications

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“…Furthermore, the flexible humidity sensors show higher fit degree to the human body compared with other pressure or temperature sensors and are more conducive to the detection of the human body. Thus, humidity sensors with excellent flexible properties have been a focus of study. − On the other hand, environmental health hazards have become a common issue because of human society and industry. Environmental protection policies have been introduced by various countries, and many manufacturing industries have begun to transform into environmentally friendly ones.…”

Section: Introductionmentioning

confidence: 99%

Recent Progress on Environmentally Friendly Humidity Sensor: A Mini Review

Huang

Jiang

Liu

2023

ACS Appl. Electron. Mater.

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Due to the impact of the epidemic, human health is seriously threatened so that the technology of human health detection is increasingly important, and humidity sensors for detecting human health have been studied extensively. A number of humidity sensors made of a variety of different materials and based on multiple principles have been prepared, which can be classified into numerous categories. This article starts out by introducing sensor materials according to environmentally friendliness. Following that, a variety of structures for humidity sensors, the mechanisms for sensing, and different power supply types are discussed. This study summarizes the review of current research in this field as well as challenges that exist, indicating the focus of possible future research and application prospects. This work may pave the way to understanding the overview of humidity sensing.

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Section: Introductionmentioning

confidence: 99%

Recent Progress on Environmentally Friendly Humidity Sensor: A Mini Review

Huang

Jiang

Liu

2023

ACS Appl. Electron. Mater.

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“…The IoMT is having a significant impact on the healthcare industry by offering valuable solutions for a variety of applications in medicine and healthcare, including remote medical treatment, exercise programs, children’s and elderly care, and the detection and prognosis of various historical illnesses like epilepsy, Alzheimer’s, and schizophrenia. Utilizing wearable devices, IoMT technologies offer continuous and immediate personal medical monitoring [ 15 , 16 ]. These technologies are also used to collect and send epileptic patients’ EEG signals.…”

Section: Introductionmentioning

confidence: 99%

An overview of machine learning methods in enabling IoMT-based epileptic seizure detection

Al-hajjar

Al-Qurabat

2023

J Supercomput

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The healthcare industry is rapidly automating, in large part because of the Internet of Things (IoT). The sector of the IoT devoted to medical research is sometimes called the Internet of Medical Things (IoMT). Data collecting and processing are the fundamental components of all IoMT applications. Machine learning (ML) algorithms must be included into IoMT immediately due to the vast quantity of data involved in healthcare and the value that precise forecasts have. In today’s world, together, IoMT, cloud services, and ML techniques have become effective tools for solving many problems in the healthcare sector, such as epileptic seizure monitoring and detection. One of the biggest hazards to people’s lives is epilepsy, a lethal neurological condition that has become a global issue. To prevent the deaths of thousands of epileptic patients each year, there is a critical necessity for an effective method for detecting epileptic seizures at their earliest stage. Numerous medical procedures, including epileptic monitoring, diagnosis, and other procedures, may be carried out remotely with the use of IoMT, which will reduce healthcare expenses and improve services. This article seeks to act as both a collection and a review of the different cutting-edge ML applications for epilepsy detection that are presently being combined with IoMT.

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“…However, it represents other benefits for various companies irrespective of the underlying area where it can operate or undertake the projects. Before and after digitization, the authors have examined the attached issues and the requirements of various industries and termed them IoTv4 [19]- [22]. The authors have labeled some paybacks of digital societies, the consequences of cyber security, and the definition of threats with different strategy types adopted to evade security jeopardies.…”

Section: Introductionmentioning

confidence: 99%

Adaptation issues of machine learning in safety digitization

Panigrahi

Barpanda

Anitha³

et al. 2023

IJEECS

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<span lang="EN-US">The internet community is the only set of irreplaceable spaces in today’s world and is used by millions for knowledge acquittance via the digital exchange between the landed gentry. The torrent of available e-contents in the Internet community attracts corporates and researchers to find the factual weightage of formed data. It is high time for digital diversification, which is the objective of using various learning-based machine learning (ML) systems for hands-on fortification. The main idea is to make stylistic communication more understandable. Here, the authors try to adapt the factual weightage procedure of formed data through the Internet community using machine learning schemes. Hence, the authors have chosen to emphasize cyber security, which is not well discussed and concerned with ethical contemplation from hackers' forums amidst internet communities. There are disparities in the continual growth of connotations, acronyms, spellings, and even technical jargon, which need periodic re-learning and their prototype implications through the proposed model.</span>

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Mobile and wearable sensors for data-driven health monitoring system: State-of-the-art and future prospect

Cited by 77 publications

References 100 publications

Recent Progress on Environmentally Friendly Humidity Sensor: A Mini Review

Recent Progress on Environmentally Friendly Humidity Sensor: A Mini Review

An overview of machine learning methods in enabling IoMT-based epileptic seizure detection

Adaptation issues of machine learning in safety digitization

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