Back to Evidence Hub
Case Study a-seismocardiography-system-and-a-possibility-of-its-use-for-diagnosis-of-internal-organs-diseases-using-seismocardiogram-information-analysis
2019 Release

A seismocardiography system and a possibility of its use for diagnosis of internal organs diseases using seismocardiogram information analysis

Executive Summary

This study presents the development of a cardioseismometer system for capturing seismocardiograms (SCG) and analyzing their signals to diagnose internal organ diseases. The methodology includes simultaneous ECG and SCG signal acquisition, signal processing algorithms for compensating noise and body movement, and comparative analysis of SCG and ECG variability parameters. Key findings demonstrate parallelism in the dynamics of SCG and ECG parameters, suggesting SCG's potential as a diagnostic tool for cardiovascular and internal organ diseases.

This research shows how heart vibrations measured by a new device can help diagnose internal organ diseases, offering a simpler alternative to traditional heart monitoring methods like ECGs.

Answer Machine Insights

Q: What is the main advantage of SCG over ECG?

SCG does not require electrodes or cables, making it suitable for non-standard conditions.

The absence of electrodes and electrode cables for seismocardiogram registration gives it a certain advantage over the electrocardiograph if it is necessary to register the cardiogram in non-standard conditions.

Q: How does SCG signal variability compare to ECG?

SCG and ECG show parallelism in time interval variability, though amplitude variability requires further investigation.

There is a coincidence between ECG and SCG time intervals increments, that confirms the assumption made in the introduction about the same nature of mechanical and electrical heart activity.

Key Results

  • Parallelism observed between SCG and ECG variability parameters, including amplitude and time intervals.

  • SCG signal processing algorithms successfully compensate for body movement and external noise.

Visual Evidence

Figure 5. An example of simultaneously recorded ECG  and SCG

Figure 5. An example of simultaneously recorded ECG and SCG

Clinical Snapshot

Evidence Rating

Relevance

high Priority

Confidence

Supporting

Relativity Score

4/5
Rigor
4/5
Novelty
5/5
Impact

Semantic Graph Connections

Similar Methodology

Definition of Fiducial Points in the Normal Seismocardiogram

Similar Methodology

Automatic Identification of Systolic Time Intervals in Seismocardiogram

Similar Methodology

Accurate and consistent automatic seismocardiogram annotation without concurrent ECG

Similar Methodology

Multichannel seismocardiography: an imaging modality for investigating heart vibrations

Similar Methodology

Postural and longitudinal variability in seismocardiographic signals

Similar Methodology

Seismocardiography-based estimation of hemodynamic parameters during submaximal ergometer test

Similar Methodology

Robustness of Persistence Diagrams to Time-Delay for Seismocardiogram Signal Quality Assessment*

Similar Methodology

Performance Analysis of Gyroscope and Accelerometer Sensors for Seismocardiography-Based Wearable Pre-Ejection Period Estimation

Similar Methodology

A Unified Framework for Quality Indexing and Classification of Seismocardiogram Signals

Similar Methodology

Universal Pre-Ejection Period Estimation Using Seismocardiography: Quantifying the Effects of Sensor Placement and Regression Algorithms

Similar Methodology

Toward Wearable Estimation of Tidal Volume via Electrocardiogram and Seismocardiogram Signals

Similar Methodology

Near Real-Time Implementation of An Adaptive Seismocardiography – ECG Multimodal Framework for Cardiac Gating

Similar Methodology

Quantifying and Reducing Motion Artifacts in Wearable Seismocardiogram Measurements During Walking to Assess Left Ventricular Health

Similar Methodology

A Hidden Markov Model for Seismocardiography

Similar Methodology

High-Accuracy, Unsupervised Annotation of Seismocardiogram Traces for Heart Rate Monitoring

Similar Methodology

A System for Seismocardiography-Based Identification of Quiescent Heart Phases: Implications for Cardiac Imaging

Similar Methodology

Noncontact Multipoint Vital Sign Monitoring With mmWave MIMO Radar

Similar Methodology

A new algorithm for segmentation of cardiac quiescent phases and cardiac time intervals using seismocardiography

Similar Methodology

Influence of sympathetic activation on myocardial contractility measured with ballistocardiography and seismocardiography during sustained end-expiratory apnea

Similar Methodology

Novel Wearable Seismocardiography and Machine Learning Algorithms Can Assess Clinical Status of Heart Failure Patients

Similar Methodology

Combined measurement of ECG, Breathing and Seismocardiograms DataBase (CEBSDB)

Similar Methodology

Seismocardiograph Monitoring Using SMS Fiber Structure with PDMS Enclosure

Similar Methodology

Machine Learning Based Classification of Myocardial Infarction Conditions Using Smartphone-Derived Seismo- and Gyrocardiography

Similar Methodology

Visualization of the Multichannel Seismocardiogram

Similar Methodology

Cardiac Time Intervals Derived from Electrocardiography and Seismocardiography in Different Patient Groups

Similar Methodology

Porcine Model for Validation of Noninvasive Estimation of Pulmonary Hypertension

Similar Methodology

Application of Acceleration Sensors in Physiological Experiments

Similar Methodology

Quantification of cardiac kinetic energy and its changes during transmural myocardial ischemia assessed by multi-dimensional seismocardiography

Similar Methodology

Multi-site cardiac rhythm monitoring via multi-channel SCG system and exercise-induced physiological analysis

Similar Methodology

A Comparison of Heart Pulsations Provided by Forcecardiography and Double Integration of Seismocardiogram

Similar Methodology

Non-Invasive Wearable Technology to Predict Heart Failure Decompensation

Similar Methodology

A Novel Adaptive Recursive Least Squares Filter to Remove the Motion Artifact in Seismocardiography

Similar Methodology

Smartphone-Derived Seismocardiography: Robust Approach for Accurate Cardiac Energy Assessment in Patients with Various Cardiovascular Conditions

Similar Methodology

Deep Learning for identifying systolic complexes in SCG traces: a cross-dataset analysis

Similar Methodology

ECG-Free Assessment of Cardiac Valve Events Using Seismocardiography

Similar Methodology

Three-dimensional apex-seismocardiography