An Intelligent and Smart Environment Monitoring System for Healthcare

• Main Authors: Hina Sattar, Imran Sarwar Bajwa, Riaz Ul-Amin, Aqsa Mahmood, Waheed Anwar, Bakhtiar Kasi, Rafaqut Kazmi, Umar Farooq
• Format: Article
• Language: English
• Published: MDPI AG 2019-10-01
• Series: Applied Sciences
• Subjects: open skin wound; health-care; iot; machine learning; neural network; sensors; eem system; mse
• Online Access: https://www.mdpi.com/2076-3417/9/19/4172

Skin wound healing is influenced by two kinds of environment i.e., exterior environment that is nearby to wound surface and interior environment that is the environment of the adjacent part under wound surface. Both types of environment play a vital role in wound healing, which may contribute to continuous or impaired wound healing. Although, different previous studies provided wound care solutions, but they focused on single environmental factors either wound moisture level, pH value or healing enzymes. Practically, it is insignificant to consider environmental effect by determination of single factors or two, as both types of environment contain a lot of other factors which must be part of investigation e.g., smoke, air pollution, air humidity, temperature, hydrogen gases etc. Also, previous studies didn’t classify overall healing either as continuous or impaired based on exterior environment effect. In current research work, we proposed an effective wound care solution based on exterior environment monitoring system integrated with Neural Network Model to consider exterior environment effect on wound healing process, either as continuous or impaired. Current research facilitates patients by providing them intelligent wound care solution to monitor and control wound healing at their home.