ArticleJournal of medical and biological engineering2017
Respiratory Rate Estimation by Using ECG, Impedance, and Motion Sensing in Smart Clothing.
Article in Journal of medical and biological engineering, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Real-Time Detection of Industrial Respirator Fit Using Embedded Breath Sensors and Machine Learning Algorithms.Biosensors · 2025Article
- All-in-One, Wireless, Multi-Sensor Integrated Athlete Health Monitor for Real-Time Continuous Detection of Dehydration and Physiological Stress.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Can Pulse Rate Variability be Used to Monitor Compliance with a Breath Pacer?Applied psychophysiology and biofeedback · 2024Article
- Heart Rate Measurement Using the Built-In Triaxial Accelerometer from a Commercial Digital Writing Device.Sensors (Basel, Switzerland) · 2024Article
- Wearable Sensors for Respiration Monitoring: A Review.Sensors (Basel, Switzerland) · 2023Review
- Embedded Electronic Sensor for Monitoring of Breathing Activity, Fitting and Filter Clogging in Reusable Industrial Respirators.Biosensors · 2022Article
- Assessing Respiratory Activity by Using IMUs: Modeling and Validation.Sensors (Basel, Switzerland) · 2022Article
- A Respiratory Motion Estimation Method Based on Inertial Measurement Units for Gated Positron Emission Tomography.Sensors (Basel, Switzerland) · 2021Article
- Feasibility of a Waistband-Type Wireless Wearable Electrocardiogram Monitoring System Based on a Textile Electrode: Development and Usability Study.JMIR mHealth and uHealth · 2021Article
- Clinical evaluation of stretchable and wearable inkjet-printed strain gauge sensor for respiratory rate monitoring at different measurements locations.Journal of clinical monitoring and computing · 2021Article
- Perspective: Wearable Internet of Medical Things for Remote Tracking of Symptoms, Prediction of Health Anomalies, Implementation of Preventative Measures, and Control of Virus Spread During the Era of COVID-19.Frontiers in robotics and AI · 2021Article
- An Evaluation of Biometric Monitoring Technologies for Vital Signs in the Era of COVID-19.Clinical and translational science · 2020Review
- Reconstruction of the respiratory signal through ECG and wrist accelerometer data.Scientific reports · 2020Article
- Controlling the Structures, Flexibility, Conductivity Stability of Three-Dimensional Conductive Networks of Silver Nanoparticles/Carbon-Based Nanomaterials with Nanodispersion and their Application in Wearable Electronic Sensors.Nanomaterials (Basel, Switzerland) · 2020Article
- Article
- Recent Developments in Printing Flexible and Wearable Sensing Electronics for Healthcare Applications.Sensors (Basel, Switzerland) · 2019Review
- Contact-Based Methods for Measuring Respiratory Rate.Sensors (Basel, Switzerland) · 2019Review
- Toward Accurate Extraction of Respiratory Frequency From the Photoplethysmogram: Effect of Measurement Site.Frontiers in physiology · 2019Article
- Smartphone movement sensors for the remote monitoring of respiratory rates: Technical validation.Digital healthArticle
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The needs for light-weight and soft smart clothing in homecare have been rising since the past decade. Many smart textile sensors have been developed and applied to automatic physiological and user-centered environmental status recognition. In the present study, we propose wearable multi-sensor smart clothing for homecare monitoring based on an economic fabric electrode with high elasticity and low resistance. The wearable smart clothing integrated with heterogeneous sensors is capable to measure multiple human biosignals (ECG and respiration), acceleration, and gyro information. Five independent respiratory signals (electric impedance plethysmography, respiratory induced frequency variation, respiratory induced amplitude variation, respiratory induced intensity variation, and respiratory induced movement variation) are obtained. The smart clothing can provide accurate respiratory rate estimation by using three different techniques (Naïve Bayes inference, static Kalman filter, and dynamic Kalman filter). During the static sitting experiments, respiratory induced frequency variation has the best performance; whereas during the running experiments, respiratory induced amplitude variation has the best performance. The Naïve Bayes inference and dynamic Kalman filter have shown good results. The novel smart clothing is soft, elastic, and washable and it is suitable for long-term monitoring in homecare medical service and healthcare industry.
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Registered trials
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