ArticleHealth information science and systems2015
UnoViS: the MedIT public unobtrusive vital signs database.
Article in Health information science and systems, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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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
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A Systematic Review of Design of Electrodes and Interfaces for Non-Contact and Capacitive Biomedical Measurements: Terminology, Electrical Model, and System Analysis.Sensors (Basel, Switzerland) · 2026Pooled it
- Stress Level Detection Based on the Capacitive Electrocardiogram Signals of Driving Subjects.Sensors (Basel, Switzerland) · 2023Article
- Automated Signal Quality Assessment of Single-Lead ECG Recordings for Early Detection of Silent Atrial Fibrillation.Sensors (Basel, Switzerland) · 2023Article
- Reduction of Artifacts in Capacitive Electrocardiogram Signals of Driving Subjects.Entropy (Basel, Switzerland) · 2021Article
- Supervised SVM Transfer Learning for Modality-Specific Artefact Detection in ECG.Sensors (Basel, Switzerland) · 2021Article
- Registered report protocol: Developing an artifact index for capacitive electrocardiography signals acquired with an armchair.PloS one · 2021Article
- Vital Sign Monitoring in Car Seats Based on Electrocardiography, Ballistocardiography and Seismocardiography: A Review.Sensors (Basel, Switzerland) · 2020Review
- A home hospitalization system based on the Internet of things, Fog computing and cloud computing.Informatics in medicine unlocked · 2020Article
- An E-health system for monitoring elderly health based on Internet of Things and Fog computing.Health information science and systems · 2019Article
- Motion Artifact Quantification and Sensor Fusion for Unobtrusive Health Monitoring.Sensors (Basel, Switzerland) · 2017Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
While PhysioNet is a large database for standard clinical vital signs measurements, such a database does not exist for unobtrusively measured signals. This inhibits progress in the vital area of signal processing for unobtrusive medical monitoring as not everybody owns the specific measurement systems to acquire signals. Furthermore, if no common database exists, a comparison between different signal processing approaches is not possible. This gap will be closed by our UnoViS database. It contains different recordings in various scenarios ranging from a clinical study to measurements obtained while driving a car. Currently, 145 records with a total of 16.2 h of measurement data is available, which are provided as MATLAB files or in the PhysioNet WFDB file format. In its initial state, only (multichannel) capacitive ECG and unobtrusive PPG signals are, together with a reference ECG, included. All ECG signals contain annotations by a peak detector and by a medical expert. A dataset from a clinical study contains further clinical annotations. Additionally, supplementary functions are provided, which simplify the usage of the database and thus the development and evaluation of new algorithms. The development of urgently needed methods for very robust parameter extraction or robust signal fusion in view of frequent severe motion artifacts in unobtrusive monitoring is now possible with the database.
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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.