ArticleIEEE open journal of engineering in medicine and biology2021
Non-Invasive Cardiac and Respiratory Activity Assessment From Various Human Body Locations Using Bioimpedance.
Article in IEEE open journal of engineering in medicine and biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.
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Who cites it
19 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Wearable Blood Pressure Monitoring Devices: Understanding Heterogeneity in Design and Evaluation.IEEE transactions on bio-medical engineering · 2024Pooled it
- Respiratory Monitoring in Motion: An Overview of Wearable Methods and Algorithmic Approaches for Reliable Assessment.Biosensors · 2026Review
- Cardiovascular digital twins using a Windkessel physics informed neural network.NPJ digital medicine · 2026Article
- Differential sensitivity of impedance plethysmography and photoplethysmography sensors to temperature-induced peripheral vasoconstriction.Scientific reports · 2026Article
- Taking heart rate variability to the next level in sports: towards a multi-signal integration.Frontiers in sports and active living · 2026Article
- Exploring Bio-Impedance Sensing for Intelligent Wearable Devices.Bioengineering (Basel, Switzerland) · 2025Article
- Visceral Fat Affects Heart Rate Recovery but Not the Heart Rate Response Post-Single Bout of Vigorous Exercise: A Cross-Sectional Study in Non-Obese and Healthy Participants.Sports (Basel, Switzerland) · 2024Article
- Motion artefact management for soft bioelectronics.Nature reviews bioengineering · 2024Article
- Article
- Regional Pulmonary Ventilation Assessment Method and System Based on Impedance Sensing Information from the Pentapulmonary Lobes.Sensors (Basel, Switzerland) · 2024Article
- Sensor-Location-Specific Joint Acquisition of Peripheral Artery Bioimpedance and Photoplethysmogram for Wearable Applications.Sensors (Basel, Switzerland) · 2023Article
- Physics-informed neural networks for modeling physiological time series for cuffless blood pressure estimation.NPJ digital medicine · 2023Article
- Continuous cuffless blood pressure monitoring with a wearable ring bioimpedance device.NPJ digital medicine · 2023Article
- A novel method for in-situ extracting bio-impedance model parameters optimized for embedded hardware.Scientific reports · 2023Article
- Physics-Informed Neural Networks for Modeling Physiological Time Series: A Case Study with Continuous Blood Pressure.Research square · 2023Article
- Towards Estimating Arterial Diameter Using Bioimpedance Spectroscopy: A Computational Simulation and Tissue Phantom Analysis.Sensors (Basel, Switzerland) · 2022Article
- Evaluation of Respiratory Sounds Using Image-Based Approaches for Health Measurement Applications.IEEE open journal of engineering in medicine and biology · 2022Article
- Boosted-SpringDTW for Comprehensive Feature Extraction of PPG Signals.IEEE open journal of engineering in medicine and biology · 2022Article
- Short-Time Impedance Spectroscopy Using a Mode-Switching Nonsinusoidal Oscillator: Applicability to Biological Tissues and Continuous Measurement.Sensors (Basel, Switzerland) · 2021Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
objectiveBioimpedance sensing is a powerful technique that measures the tissue impedance and captures important physiological parameters including blood flow, lung movements, muscle contractions, body fluid shifts, and other cardiovascular parameters. This paper presents a comprehensive analysis of the modality at different arterial (ulnar, radial, tibial, and carotid arteries) and thoracic (side-rib cage and top thoracolumbar fascia) body regions and offers insights into the effectiveness of capturing various cardiac and respiratory activities.
methodsWe assess the bioimpedance performance in estimating inter-beat (IBI) and inter -breath intervals (IBrI) on six-hours of data acquired in a pilot-study from five healthy participants at rest.
resultsOverall, we achieve mean errors as low as 0.003 ± 0.002 and 0.67 ± 0.28 seconds for IBI and IBrI estimations, respectively.
conclusionsThe results show that bioimpedance can be effectively used to monitor cardiac and respiratory activities both at limbs and upper body and demonstrate a strong potential to be adopted by wearables that aim to provide high-fidelity physiological sensing to address precision medicine needs.
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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.