Advanced Smart Textiles for Wound Healing: A Neural Network-Driven Wearable Health Monitoring System for Real-time Predictive Analysis

A new smart fabric method to monitor the healing of wounds is presented. This system merges Artificial Neural Network (ANN) concepts with personal tracking of health technology. The purpose of the system is to facilitate the healing of wounds. The innovation of THE Raspberry Pi is used in conjunction with sensors that are implanted in textiles in order to gather data in real time about the internal temperature of wounds, the levels of wetness, and infection indicators. On the basis of this data, a training model is created in order to give forecasting insights into the consequences of wound healing. Applying an expansive dataset, which particularly displays the neural network's ability to distinguish unique healing patterns, is the method that is used to verify the correctness of the neural network. In addition to providing continuous monitoring, the wearable gadget also makes it simpler to recognize problems at an earlier stage in their development. The adaptability of smart materials and the capacity for forecasting of ANN have been combined in this one-of-a-kind technology, which provides a possible route for managing the management of healing wounds that is both customized and efficient.