Abstract
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. Therefore, 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.
Highlights
Skin wounds either minor or chronic heal up with time. is time duration may vary for minor and chronic wounds
E rest of the paper is structured as follows: Section 2 describes related research work done in field of skin wound healing, effects of internal/external environment on wound healing, and wound characteristic effect; Section 3 describes the wound characteristics and their role in skin wound healing of the proposed system. is section describes the structure and configuration of the proposed biometric sensing system and the proposed fuzzy inference system; Section 4 provides details of the experiments and their results and discussion to show the performance testing and outcomes of the proposed approach; and Section 5 presents a conclusion of the proposed research
UA serves as biomarker, which acts as a strong factor in wound healing. ey used immobilization techniques for electrochemical analyses to show that the entrapped enzyme in a cationic polymer (PVA-SbQ) matrix can provide an enhanced response. ey did experiments by which they obtained stable response at body temperature, so their proposed biosensor shows the potential of continuous wound monitoring. eir study concluded that detection of UA from wound fluid provides a way for evolving a dressing-embedded biosensor system in wound care on a wearable platform
Summary
Skin wounds either minor or chronic heal up with time. is time duration may vary for minor and chronic wounds. Wound characteristics are wound location, wound environment (external and internal), wound type, wound density, wound hydration, body temperature, oxygenation level, and infection. Wireless Communications and Mobile Computing moisture level, body oxygenation, and infection All these internal factors affect wound healing. Many wearables are being used in healthcare domain Such wearables help in diagnosis of disease by taking body characteristics as the input. To monitor wound healing process, it is necessary to measure wound characteristics (most important biomarkers) and analyze these factors to ensure internal environment holding positive values to boost up healing process. We proposed an approach to measure major biomarkers with a biosensor attached with a Arduino microcontroller and analyzed their effect on hydration level using the fuzzy inference system. E rest of the paper is structured as follows: Section 2 describes related research work done in field of skin wound healing, effects of internal/external environment on wound healing, and wound characteristic effect; Section 3 describes the wound characteristics and their role in skin wound healing of the proposed system. is section describes the structure and configuration of the proposed biometric sensing system and the proposed fuzzy inference system; Section 4 provides details of the experiments and their results and discussion to show the performance testing and outcomes of the proposed approach; and Section 5 presents a conclusion of the proposed research
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