An Intelligent Air Quality Sensing System for Open-Skin Wound Monitoring

Sattar, Hina; Bajwa, Imran Sarwar; Shafi, Umar Farooq

doi:10.3390/electronics8070801

Cited by 6 publications

(4 citation statements)

References 27 publications

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“…ere are the following problems: a single model is not enough, so two or more models are combined to solve that problem [38]. When different models are combined, they provide an effective solution to the problem, referred to as a hybrid system.…”

Section: Fuzzy Logic-based Smart Healthcare Monitoring and Managementmentioning

confidence: 99%

An Intelligent IoT Based Healthcare System Using Fuzzy Neural Networks

Hameed

Bajwa

Ramzan

et al. 2020

Scientific Programming

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Healthcare facilities in modern age are key challenge especially in developing countries where remote areas face lack of high-quality hospitals and medical experts. As artificial intelligence has revolutionized various fields of life, health has also benefited from it. The existing architecture of store-and-forward method of conventional telemedicine is facing some problems, some of which are the need for a local health center with dedicated staff, need for medical equipment to prepare patient reports, time constraint of 24–48 hours in receiving diagnosis and medication details from a medical expert in a main hospital, cost of local health centers, and need for Wi-Fi connection. In this paper, we introduce a novel and intelligent healthcare system that is based on modern technologies like Internet of things (IoT) and machine learning. This system is intelligent enough to sense and process a patient’s data through a medical decision support system. This system is low-cost solution for the people of remote areas; they can use it to find out whether they are suffering from a serious health issue and cure it accordingly by contacting near hospitals. The results of the experiments also show that the proposed system is efficient and intelligent enough to provide health facilities. The results presented in this paper are the proof of the concept.

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Section: Fuzzy Logic-based Smart Healthcare Monitoring and Managementmentioning

confidence: 99%

An Intelligent IoT Based Healthcare System Using Fuzzy Neural Networks

Hameed

Bajwa

Ramzan

et al. 2020

Scientific Programming

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“…We performed data sampling to reduce the size of input data; for sampling, we selected the random sampling technique to choose input data cases from datasheets of 5 different patients. Each patient data contains 100 instances; we picked 5 input values from each case on random basis, each input instance having equal chance of selection; each input instance had 1/100 chance to be in selected data [22]. 6.3.…”

Section: Data Samplingmentioning

confidence: 99%

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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“…Three papers present disease-specific systems suitable for IoT-based wireless health applications [7][8][9]. The research [7] introduces a framework to diagnose diabetes mellitus.…”

mentioning

confidence: 99%

“…The architecture executes an intelligent algorithm in the form of applications in smartphones and portable devices equipped with suitable sensors. In [9], the authors design an air quality sensing system for open-skin wound monitoring. Appropriate sensors are used for the acquisition of real-time environment data.…”

mentioning

confidence: 99%