ArticleSensors (Basel, Switzerland)2020
Continuous Vital Monitoring During Sleep and Light Activity Using Carbon-Black Elastomer Sensors.
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 14 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
14 citing papers in PubMed.
- Artificial Intelligence-Driven Soft Bioelectronics for Self-Powered Respiration Monitoring.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- A Forcecardiography dataset with simultaneous SCG, Heart Sounds, ECG, and Respiratory signals.Scientific data · 2025Article
- A Flexible PVDF Sensor for Forcecardiography.Sensors (Basel, Switzerland) · 2025Article
- Accuracy of the Instantaneous Breathing and Heart Rates Estimated by Smartphone Inertial Units.Sensors (Basel, Switzerland) · 2025Article
- Contactless remote monitoring of sleep: evaluating the feasibility of an under-mattress sensor mat in a real-life deployment.Health systems (Basingstoke, England) · 2023Article
- Enabling Longitudinal Respiration Monitoring Using Vapor-Coated Conducting Textiles.ACS omega · 2021Article
- Wearable Bluetooth Triage Healthcare Monitoring System.Sensors (Basel, Switzerland) · 2021Article
- [Research progress on wearable physiological parameter monitoring and its clinical applications].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2021Review
- Respiration Monitoring via Forcecardiography Sensors.Sensors (Basel, Switzerland) · 2021Article
- Fiber Optic Sensors for Vital Signs Monitoring. A Review of Its Practicality in the Health Field.Biosensors · 2021Review
- A review of wearable and unobtrusive sensing technologies for chronic disease management.Computers in biology and medicine · 2021Review
- Study Protocol on the Validation of the Quality of Sleep Data from Xiaomi Domestic Wristbands.International journal of environmental research and public health · 2021Article
- A Novel Broadband Forcecardiography Sensor for Simultaneous Monitoring of Respiration, Infrasonic Cardiac Vibrations and Heart Sounds.Frontiers in physiology · 2021Article
- Fiber-Optic Based Smart Textiles for Real-Time Monitoring of Breathing Rate.Sensors (Basel, Switzerland) · 2020Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The comfortable, continuous monitoring of vital parameters is still a challenge. The long-term measurement of respiration and cardiovascular signals is required to diagnose cardiovascular and respiratory diseases. Similarly, sleep quality assessment and the recovery period following acute treatments require long-term vital parameter datalogging. To address these requirements, we have developed "VitalCore", a wearable continuous vital parameter monitoring device in the form of a T-shirt targeting the uninterrupted monitoring of respiration, pulse, and actigraphy. VitalCore uses polymer-based stretchable resistive bands as the primary sensor to capture breathing and pulse patterns from chest expansion. The carbon black-impregnated polymer is implemented in a U-shaped configuration and attached to the T-shirt with "interfacing" material along with the accompanying electronics. In this paper, VitalCore is bench tested and compared to gold standard respiration and pulse measurements to verify its functionality and further to assess the quality of data captured during sleep and during light exercise (walking). We show that these polymer-based sensors could identify respiratory peaks with a sensitivity of 99.44%, precision of 96.23%, and false-negative rate of 0.557% during sleep. We also show that this T-shirt configuration allows the wearer to sleep in all sleeping positions with a negligible difference of data quality. The device was also able to capture breathing during gait with 88.9%-100% accuracy in respiratory peak detection.
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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.