ArticleSensors (Basel, Switzerland)2020
Wearable Belt With Built-In Textile Electrodes for Cardio-Respiratory Monitoring.
Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Experimental Validation of a Compact and Versatile Bioimpedance Measurement Platform Based on the SENSIPLUS Chip.Sensors (Basel, Switzerland) · 2026Article
- Respiratory Monitoring in Motion: An Overview of Wearable Methods and Algorithmic Approaches for Reliable Assessment.Biosensors · 2026Review
- Human bioimpedance-based state detection technologies for sports health monitoring: a review.Frontiers in physiology · 2026Review
- Kinematic Monitoring of the Thorax During the Respiratory Cycle Using a Biopolymer-Based Strain Sensor: A Chitosan-Glycerol-Graphite Composite.Biosensors · 2025Article
- Detection of vital signs based on millimeter wave radar.Scientific reports · 2025Article
- Flow-Field Inference for Turbulent Exhale Flow Measurement.Diagnostics (Basel, Switzerland) · 2024Article
- DEMA: A Deep Learning-Enabled Model for Non-Invasive Human Vital Signs Monitoring Based on Optical Fiber Sensing.Sensors (Basel, Switzerland) · 2024Article
- Wearable Technologies for Healthy Ageing: Prospects, Challenges, and Ethical Considerations.The Journal of frailty & aging · 2024Article
- A Non-Invasive Technique for Long-Term Monitoring of Gastroesophageal Reflux-A Pilot Study.Sensors (Basel, Switzerland) · 2023Article
- Algoritmically improved microwave radar monitors breathing more acurrate than sensorized belt.Scientific reports · 2022Article
- Monitoring Breathing and Heart Rate Using Episodic Broadcast Data Transmission.Sensors (Basel, Switzerland) · 2022Article
- Smart Electronic Textiles for Wearable Sensing and Display.Biosensors · 2022Review
- Advanced Computing Methods for Impedance Plethysmography Data Processing.Sensors (Basel, Switzerland) · 2022Article
- Sensors for Context-Aware Smart Healthcare: A Security Perspective.Sensors (Basel, Switzerland) · 2021Review
- Requirements for Supporting Diagnostic Equipment of Respiration Process in Humans.Sensors (Basel, Switzerland) · 2021Article
- A Wearable System with Embedded Conductive Textiles and an IMU for Unobtrusive Cardio-Respiratory Monitoring.Sensors (Basel, Switzerland) · 2021Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Unobtrusive and continuous monitoring of vital signs is becoming more and more important both for patient monitoring in the home environment and for sports activity tracking. Even though many gadgets and clinical systems exist, the need for simple, low-cost and easily applicable solutions still remains, especially in view of a more widespread use within everyone's reach. The paper presents a fully wearable and wireless sensorized belt, suitable to simultaneously acquire respiratory and cardiac signals employing a single acquisition channel. The adopted method relies on a 50-kHz current injected in the subject thorax through a couple of textile electrodes and on envelope detection of the trans-thoracic voltage acquired from a couple of different embedded electrodes. The resulting signal contains both the baseband electrocardiogram (ECG) signal and the trans-thoracic impedance signal, which encodes respiratory acts. The two signals can be easily separated through suitable filtering and the cardio-respiratory rates extracted. The proposed solution yields performances comparable to those of a spirometer and a two-lead ECG. The whole system, with a realization cost below 100 €, a wireless interface, and several hours (or even days) of autonomy, is a suitable candidate for everyday use, especially if complemented by motion artifact removal techniques, currently under implementation.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.