ArticleScientific reports2020
Reconstruction of the respiratory signal through ECG and wrist accelerometer data.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 16 citations in OpenAlex.
- A flexible piezoelectric sensor for non-contact monitoring of respiratory and heart rates: accuracy and clinical feasibility under simulated dental treatment conditions.Clinical oral investigations · 2026Article
- Respiratory signal extraction from the electrocardiogram for risk stratification in cardiac patients.European heart journal. Digital health · 2026Review
- Respiratory Monitoring in Motion: An Overview of Wearable Methods and Algorithmic Approaches for Reliable Assessment.Biosensors · 2026Review
- Electrocardiogram-derived respiratory rate: State-of-the-art and implications for remote cardiopulmonary monitoring.NPJ digital medicine · 2026Review
- Article
- Apnea detection using wrist actigraphy in patients with heterogeneous sleep disorders.Scientific reports · 2025Article
- Differential Measurement of Involuntary Breathing Movements.Biosensors · 2025Article
- Wearable Sensors as a Preoperative Assessment Tool: A Review.Sensors (Basel, Switzerland) · 2024Review
- Continuous Critical Respiratory Parameter Measurements Using a Single Low-Cost Relative Humidity Sensor: Evaluation Study.JMIR biomedical engineering · 2023Article
- Identification of Respiration Types Through Respiratory Signal Derived From Clinical and Wearable Electrocardiograms.IEEE open journal of engineering in medicine and biology · 2023Article
- Long- and short-term fluctuations compared for several organ systems across sleep stages.Frontiers in network physiology · 2022Article
Corrections and comments
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Authors and funding
10 authors at 5 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Respiratory rate and changes in respiratory activity provide important markers of health and fitness. Assessing the breathing signal without direct respiratory sensors can be very helpful in large cohort studies and for screening purposes. In this paper, we demonstrate that long-term nocturnal acceleration measurements from the wrist yield significantly better respiration proxies than four standard approaches of ECG (electrocardiogram) derived respiration. We validate our approach by comparison with flow-derived respiration as standard reference signal, studying the full-night data of 223 subjects in a clinical sleep laboratory. Specifically, we find that phase synchronization indices between respiration proxies and the flow signal are large for five suggested acceleration-derived proxies with [Formula: see text] for males and [Formula: see text] for females (means ± standard deviations), while ECG-derived proxies yield only [Formula: see text] for males and [Formula: see text] for females. Similarly, respiratory rates can be determined more precisely by wrist-worn acceleration devices compared with a derivation from the ECG. As limitation we must mention that acceleration-derived respiration proxies are only available during episodes of non-physical activity (especially during sleep).
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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.