Skin-Health Monitoring system using a Wireless Body Area Network

TL;DR

This paper introduces a wireless body area network-based skin health monitoring system with adaptive algorithms for detecting abnormalities and efficiently managing sensor data, enabling continuous and responsive skin health assessment.

Contribution

It presents a novel distributed skin monitoring system with an adaptive data aggregation algorithm that responds to skin condition changes and optimizes energy use.

Findings

Effective detection of abnormal skin areas.

Adaptive data aggregation improves energy efficiency.

Simulation confirms system utility for dynamic wound monitoring.

Abstract

A new class of sensing paradigm known as lab-onskin where stretchable and flexible smart sensor devices are integrated into the skin, provides direct monitoring and diagnostic interfaces to the body. Distributed lab-on-skin wireless sensors have the ability to provide continuous long term assessment of the skin health. This paper proposes a distributed skin health monitoring system using a wireless body area network. The system is responsive to the dynamic changes in the skin health, and remotely reports on the same. The proposed algorithm detects the abnormal skin and creates an energy efficient data aggregation tree covering the affected area while putting the unnecessary sensors to sleep mode. The algorithm responds to the changing conditions of the skin by dynamically adapting the size and shape of the monitoring trees to that of the abnormal skin areas thus providing a comprehensive monitoring. Simulation results demonstrate the application and utility of the proposed algorithm for changing wound shapes and sizes.