Smart e-Textile Singlet Prototype and Concept: Multi Sensor Sensing for Geriatric Monitoring

TL;DR

This paper introduces a smart e-textile singlet that continuously monitors vital health signs in elderly individuals to improve geriatric care.

Contribution

The novel contribution is a multi-sensor e-textile singlet integrating AI for real-time health monitoring and fall risk detection in elderly care.

Findings

The e-textile singlet successfully monitors core body temperature, blood oxygen, respiration, and ECG.

AI algorithms enable near-real-time feedback and early warnings for health issues.

The design promotes elderly autonomy and reduces healthcare provider workload.

Abstract

This paper explores the development of a Smart e-Textile Singlet designed to enhance geriatric care through continuous monitoring of vital health parameters. The proposed garment integrates various sensors to measure core body temperature, blood oxygen saturation, respiration rate, blood pressure, pulse, electrocardiogram (ECG), activity level, and risk of falls. Leveraging advanced technologies such as inertial measurement unit (IMU) sensors, thermoelectric materials, and piezoelectric fibers, the e-textile ensures both functionality and sustainability. Additionally, artificial intelligence algorithms are employed to provide near-real-time feedback and early warnings, significantly improving health management for elderly individuals. This innovative approach not only promotes autonomy and well-being among the elderly but also alleviates the workload of healthcare providers. The Smart e-Textile Singlet represents a multi-sensor solution by offering a holistic monitoring system.

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