ArticleIEEE journal of biomedical and health informatics2020
A Unified Framework for Quality Indexing and Classification of Seismocardiogram Signals.
Article in IEEE journal of biomedical and health informatics, 2020. 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.
- A triaxial accelerometer-based approach for motion noise resilient segmentation of seismocardiogram signal.Physical and engineering sciences in medicine · 2026Article
- Seismocardiography Pig Hypovolemia Dataset for Signal Quality Indexing and Validated Cardiac Timings.Scientific data · 2026Article
- Quantifying changes in triaxial seismocardiography variability due to sub-optimal volume status.Frontiers in physiology · 2026Article
- Heart rate informed detection of cardiac events using the Kalman filter.Computers in biology and medicine · 2025Article
- Enhancing visual seismocardiography in noisy environments with adaptive bidirectional filtering for Cardiac Health Monitoring.BMC medical informatics and decision making · 2024Article
- Synthetic seismocardiogram generation using a transformer-based neural network.Journal of the American Medical Informatics Association : JAMIA · 2023Article
- Towards Wearable Estimation of Tidal Volume via Electrocardiogram and Seismocardiogram Signals.IEEE sensors journal · 2022Article
- Respiratory Rate Estimation Using U-Net-Based Cascaded Framework From Electrocardiogram and Seismocardiogram Signals.IEEE journal of biomedical and health informatics · 2022Article
- Identification of Characteristic Points in Multivariate Physiological Signals by Sensor Fusion and Multi-Task Deep Networks.Sensors (Basel, Switzerland) · 2022Article
- Detection of Aortic Valve Opening and Estimation of Pre-Ejection Period in Forcecardiography Recordings.Bioengineering (Basel, Switzerland) · 2022Article
- Wearable Sensors and Machine Learning for Hypovolemia Problems in Occupational, Military and Sports Medicine: Physiological Basis, Hardware and Algorithms.Sensors (Basel, Switzerland) · 2022Review
- Can Seismocardiogram Fiducial Points Be Used for the Routine Estimation of Cardiac Time Intervals in Cardiac Patients?Frontiers in physiology · 2022Article
- Transcutaneous Cervical Vagus Nerve Stimulation Inhibits the Reciprocal of the Pulse Transit Time's Responses to Traumatic Stress in Posttraumatic Stress DisorderAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2021Article
- Quantifying Signal Quality for Joint Acoustic Emissions Using Graph-Based Spectral Embedding.IEEE sensors journal · 2021Article
- Wearable Cuff-Less Blood Pressure Estimation at Home via Pulse Transit Time.IEEE journal of biomedical and health informatics · 2021Article
- Non-Invasive Wearable Patch Utilizing Seismocardiography for Peri-Operative Use in Surgical Patients.IEEE journal of biomedical and health informatics · 2021Article
- A Novel Broadband Forcecardiography Sensor for Simultaneous Monitoring of Respiration, Infrasonic Cardiac Vibrations and Heart Sounds.Frontiers in physiology · 2021Article
- Wearable Sensors Incorporating Compensatory Reserve Measurement for Advancing Physiological Monitoring in Critically Injured Trauma Patients.Sensors (Basel, Switzerland) · 2020Review
- Modeling Consistent Dynamics of Cardiogenic Vibrations in Low-Dimensional Subspace.IEEE journal of biomedical and health informatics · 2020Article
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Authors and funding
6 authors.
Funding
Abstract
The seismocardiogram (SCG) is a noninvasively-obtained cardiovascular bio-signal that has gained traction in recent years, however is limited by its susceptibility to noise and motion artifacts. Because of this, signal quality must be assured before data are used to inform clinical care. Common methods of signal quality assurance include signal classification or assignment of a numerical quality index. Such tasks are difficult with SCG because there is no accepted standard for signal morphology. In this paper, we propose a unified method of quality indexing and classification that uses multi-subject-based methods to overcome this challenge. Dynamic-time feature matching is introduced as a novel method of obtaining the distance between a signal and reference template, with this metric, the signal quality index (SQI) is defined as a function of the inverse distance between the SCG and a large set of template signals. We demonstrate that this method is able to stratify SCG signals on held-out subjects based on their level of motion-artifact corruption. This method is extended, using the SQI as a feature for classification by ensembled quadratic discriminant analysis. Classification is validated by demonstrating, for the first time, both detection and localization of SCG sensor misplacement, achieving an F1 score of 0.83 on held-out subjects. This paper may provide a necessary step toward automating the analysis of SCG signals, addressing many of the key limitations and concerns precluding the method from being widely used in clinical and physiological sensing applications.
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Registered trials
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