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Related Experiment Video

Updated: Jan 10, 2026

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program

Published on: April 19, 2019

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

Tobias Steinmetzer¹, Florian Wieczorek², Anselm Naake²

¹Department of Therapy Sciences (II), Brandenburg University of Technology (BTU) Cottbus-Senftenberg, Platz der Deutschen Einheit 1, 03013 Cottbus, Germany.

Bioengineering (Basel, Switzerland)

|November 27, 2025

Summary

This smart e-textile singlet continuously monitors elderly health, using AI for early warnings and improving geriatric care. The wearable technology enhances well-being and reduces healthcare provider workload.

Keywords:

ECG IMU sensors Smart e-Textile blood pressure breathing singlet wearable

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Last Updated: Jan 10, 2026

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program

Published on: April 19, 2019

Conformable Wearable Electrodes: From Fabrication to Electrophysiological Assessment

Conformable Wearable Electrodes: From Fabrication to Electrophysiological Assessment

Published on: July 22, 2022

An Application for Pairing with Wearable Devices to Monitor Personal Health Status

An Application for Pairing with Wearable Devices to Monitor Personal Health Status

Published on: February 3, 2022

Area of Science:

Biomedical Engineering
Geriatric Medicine
Wearable Technology

Background:

Aging population necessitates innovative healthcare solutions.
Continuous health monitoring is crucial for elderly well-being and early intervention.
Existing monitoring methods can be intrusive or require frequent patient interaction.

Purpose of the Study:

To develop a Smart e-Textile Singlet for comprehensive geriatric care.
To integrate multiple vital sign sensors into a comfortable, wearable garment.
To utilize AI for real-time health data analysis and early warning generation.

Main Methods:

Integration of diverse sensors (temperature, SpO2, ECG, etc.) into a textile garment.
Utilization of advanced materials like thermoelectric and piezoelectric fibers for functionality and sustainability.
Application of artificial intelligence algorithms for data processing and predictive analytics.

Main Results:

The e-textile singlet successfully integrates multiple sensors for holistic health monitoring.
AI algorithms provide near-real-time feedback and potential early warnings for health events.
The system demonstrates potential for improved health management and reduced healthcare burden.

Conclusions:

The Smart e-Textile Singlet offers a promising multi-sensor solution for continuous geriatric monitoring.
This technology can enhance autonomy and well-being for elderly individuals.
The e-textile has the potential to significantly support healthcare providers in managing elderly care.