ArticleScientific reports2018
Multiclass Classifier based Cardiovascular Condition Detection Using Smartphone Mechanocardiography.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- Accurate Detection of Dobutamine-induced Haemodynamic Changes by Kino-Cardiography: A Randomised Double-Blind Placebo-Controlled Validation Study.Scientific reports · 2019Trial
- Accuracy of the Instantaneous Breathing and Heart Rates Estimated by Smartphone Inertial Units.Sensors (Basel, Switzerland) · 2025Article
- Accurate Modeling of Ejection Fraction and Stroke Volume With Mobile Phone Auscultation: Prospective Case-Control Study.JMIR cardio · 2024Article
- Classification of Aortic Stenosis Patients via ECG-Independent Multi-Site Measurements of Cardiac-Induced Accelerations and Angular Velocities at the Skin Level.IEEE open journal of engineering in medicine and biology · 2024Article
- Heartbeat Detection in Gyrocardiography Signals without Concurrent ECG Tracings.Sensors (Basel, Switzerland) · 2023Article
- Heart Rate Variability Analysis on Electrocardiograms, Seismocardiograms and Gyrocardiograms of Healthy Volunteers and Patients with Valvular Heart Diseases.Sensors (Basel, Switzerland) · 2023Article
- Detection of heart rate using smartphone gyroscope data: a scoping review.Frontiers in cardiovascular medicine · 2023Article
- Revolutionizing smartphone gyrocardiography for heart rate monitoring: overcoming clinical validation hurdles.Frontiers in cardiovascular medicine · 2023Article
- Applying Artificial Intelligence to Wearable Sensor Data to Diagnose and Predict Cardiovascular Disease: A Review.Sensors (Basel, Switzerland) · 2022Review
- Estimation of Changes in Intracardiac Hemodynamics Using Wearable Seismocardiography and Machine Learning in Patients With Heart Failure: A Feasibility Study.IEEE transactions on bio-medical engineering · 2022Article
- Mechanocardiography in the Detection of Acute ST Elevation Myocardial Infarction: The MECHANO-STEMI Study.Sensors (Basel, Switzerland) · 2022Article
- Body Acoustics for the Non-Invasive Diagnosis of Medical Conditions.Bioengineering (Basel, Switzerland) · 2022Review
- Efficient detection of aortic stenosis using morphological characteristics of cardiomechanical signals and heart rate variability parameters.Scientific reports · 2021Article
- Recent Research for Unobtrusive Atrial Fibrillation Detection Methods Based on Cardiac Dynamics Signals: A Survey.Sensors (Basel, Switzerland) · 2021Review
- An Open-Access Database for the Evaluation of Cardio-Mechanical Signals From Patients With Valvular Heart Diseases.Frontiers in physiology · 2021Article
- Gyrocardiography: A Review of the Definition, History, Waveform Description, and Applications.Sensors (Basel, Switzerland) · 2020Review
- Classification of aortic stenosis using conventional machine learning and deep learning methods based on multi-dimensional cardio-mechanical signals.Scientific reports · 2020Article
- Heart Rate Variability Analysis on Electrocardiograms, Seismocardiograms and Gyrocardiograms on Healthy Volunteers.Sensors (Basel, Switzerland) · 2020Article
- Blood Pressure Sensors: Materials, Fabrication Methods, Performance Evaluations and Future Perspectives.Sensors (Basel, Switzerland) · 2020Review
- Real-Time Cardiac Beat Detection and Heart Rate Monitoring from Combined Seismocardiography and Gyrocardiography.Sensors (Basel, Switzerland) · 2019Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cardiac translational and rotational vibrations induced by left ventricular motions are measurable using joint seismocardiography (SCG) and gyrocardiography (GCG) techniques. Multi-dimensional non-invasive monitoring of the heart reveals relative information of cardiac wall motion. A single inertial measurement unit (IMU) allows capturing cardiac vibrations in sufficient details and enables us to perform patient screening for various heart conditions. We envision smartphone mechanocardiography (MCG) for the use of e-health or telemonitoring, which uses a multi-class classifier to detect various types of cardiovascular diseases (CVD) using only smartphone's built-in internal sensors data. Such smartphone App/solution could be used by either a healthcare professional and/or the patient him/herself to take recordings from their heart. We suggest that smartphone could be used to separate heart conditions such as normal sinus rhythm (SR), atrial fibrillation (AFib), coronary artery disease (CAD), and possibly ST-segment elevated myocardial infarction (STEMI) in multiclass settings. An application could run the disease screening and immediately inform the user about the results. Widespread availability of IMUs within smartphones could enable the screening of patients globally in the future, however, we also discuss the possible challenges raised by the utilization of such self-monitoring systems.
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