An IoT-Based Intelligent Wound Monitoring System

Sattar, Hina; Bajwa, Imran Sarwar; Amin, Riaz ul; Sarwar, Nadeem; Jamil, Noreen; Malik, M. G. Abbas; Mahmood, Aqsa; Shafi, Umar Farooq

doi:10.1109/access.2019.2940622

Cited by 45 publications

(18 citation statements)

References 43 publications

(52 reference statements)

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“…Here, both temperature and oxygen are at normal level. e FIS-predicted hydration level is precise enough to support our assumption about hydration levels for normal temperature and oxygen saturation range [24]. Similarly, Case 2 shows normal body temperature and blood oxygen saturation, and the proposed system predicted a hydration level of 86.6 %, indicating normal hydration level, which supports our assumption.…”

Section: Data Samplingsupporting

confidence: 77%

Smart Wound Hydration Monitoring Using Biosensors and Fuzzy Inference System

Sattar

Bajwa

Amin

et al. 2019

Wireless Communications and Mobile Computing

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Skin wounds either minor or chronic may heal up with different time durations. But, this time duration of healing could not be easily predicted as healing is affected by different factors, e.g., age, nutrition, medication, and surroundings. Despite these factors, wound characteristic also plays a role in the healing process. Wound characteristics include wound size, wound type, internal and external wound environment, body temperature, body oxygenation, wound hydration, and infection. erefore, monitoring of wound healing also required careful consideration of wound characteristics. Although the healthcare domain contains many applications for detection and monitoring of diseases, the wound care domain requires efficient techniques and sensing systems for the identification of wound biomarkers such as temperature, blood pressure, oxygen, and infection status of wound using biosensors. In the current research, we provide a wound care solution based on a biosensor-based sensing system to measure basic biomarkers, considered as major wound characteristics, i.e., body temperature and body oxygenation, and design a fuzzy inference system to predict their effect on wound hydration, which ultimately recommends necessary actions to boost healing.

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Section: Data Samplingsupporting

confidence: 77%

Smart Wound Hydration Monitoring Using Biosensors and Fuzzy Inference System

Sattar

Bajwa

Amin

et al. 2019

Wireless Communications and Mobile Computing

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“…Block-chain technology can be very helpful in integrating healthcare information, which is currently scattered, with a range of service providers [ 16 ]. Since it is a distributed network, a block-chain-based system can be useful for the integration of several intermediaries in the medical care system.…”

Section: Overview and Architecturementioning

confidence: 99%

Integration of 5G and Block-Chain Technologies in Smart Telemedicine Using IoT

Hameed

Bajwa

Sarwar

et al. 2021

Journal of Healthcare Engineering

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The Internet of Health Thing (IoHT) has various applications in healthcare. Modern IoHTintegrates health-related things like sensors and remotely observed medical devices for the assessment and managment of a patient's record to provide smarter and efficient health diagnostics to the patient. In this paper, we proposed an IoT with a cloud-based clinical decision support system for prediction and observation of disease with its severity level with the integration of 5G services and block-chain technologies. A block-chain is a system for storing and sharing information that is secure because of its transparency. Block-chain has many applications in healthcare and can improve mobile health applications, monitoring devices, sharing and storing of the electronic media records, clinical trial data, and insurance information storage. The proposed framework will collect the data of patients through medical devices that will be attached to the patient, and these data will be stored in a cloud server with relevant medical records. Deployment of Block-chain and 5G technology allows for sending patient data securely at a fast transmission rate with efficient response time. Furthermore, a Neural Network (NN) classifier is used for the prediction of diseases and their severity level. The proposed model is validated by employing different classifiers. The performance of different classifiers is measured by comparing the values to select the classifier that is the best for the dataset. The NN classifier attains an accuracy of 98.98. Furthermore, the NN is trained for the dataset so that it can predict the result of the dataset class that is not labeled. The trained Neural Network predicts and intelligently shows the results with more accuracy than other classifiers.

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“…Authors have used explainable AI in [79] to combat pandemics such as COVID-19. Machine learning has been used in [80] to track physical wounds. DL has also been used to diagnose COVID-19 from X-rays [21,81], CT-scan [82,83], and gait pattern [84].…”

Section: Diagnosis Of Covid-19 Using Aimentioning

confidence: 99%

Review of Recent Technologies for Tackling COVID-19

Alharbi

Rahman

2021

SN COMPUT. SCI.

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The current pandemic caused by the COVID-19 virus requires more effort, experience, and science-sharing to overcome the damage caused by the pathogen. The fast and wide human-to-human transmission of the COVID-19 virus demands a significant role of the newest technologies in the form of local and global computing and information sharing, data privacy, and accurate tests. The advancements of deep neural networks, cloud computing solutions, blockchain technology, and beyond 5G (B5G) communication have contributed to the better management of the COVID-19 impacts on society. This paper reviews recent attempts to tackle the COVID-19 situation using these technological advancements.

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An IoT-Based Intelligent Wound Monitoring System

Cited by 45 publications

References 43 publications

Smart Wound Hydration Monitoring Using Biosensors and Fuzzy Inference System

Smart Wound Hydration Monitoring Using Biosensors and Fuzzy Inference System

Integration of 5G and Block-Chain Technologies in Smart Telemedicine Using IoT

Review of Recent Technologies for Tackling COVID-19

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