State of the art of mobile health technologies use in clinical arrhythmia care. [PDF]
The rapid growth in consumer-facing mobile and sensor technologies has created tremendous opportunities for patient-driven personalized health management.
Sridhar AR +20 more
europepmc +3 more sources
Atrial Fibrillation Detection via Accelerometer and Gyroscope of a Smartphone [PDF]
Atrial Fibrillation (AFib), which utilizes the built-in accelerometer and gyroscope sensors (Inertial Measurement Unit, IMU) in the detection. Depending on the patient’s situation,it is possible to use the developed smartphone application either ...
Antti Saraste +10 more
core +1 more source
Non-Invasive Wearable Technology to Predict Heart Failure Decompensation. [PDF]
Heart failure (HF) remains a leading cause of recurrent hospitalisations worldwide, largely driven by acute episodes of decompensation. Early identification of impending decompensation could enable timely intervention and potentially prevent costly ...
Devin J +9 more
europepmc +3 more sources
A Powerful Paradigm for Cardiovascular Risk Stratification Using Multiclass, Multi-Label, and Ensemble-Based Machine Learning Paradigms: A Narrative Review [PDF]
Background and Motivation: Cardiovascular disease (CVD) causes the highest mortality globally. With escalating healthcare costs, early non-invasive CVD risk assessment is vital. Conventional methods have shown poor performance compared to more recent and
Bhagawati Mrinalini +15 more
core +2 more sources
Forcecardiography: A Novel Technique to Measure Heart Mechanical Vibrations onto the Chest Wall [PDF]
This paper presents forcecardiography (FCG), a novel technique to measure local, cardiac-induced vibrations onto the chest wall. Since the 19th century, several techniques have been proposed to detect the mechanical vibrations caused by cardiovascular ...
Andreozzi, Emilio +6 more
core +2 more sources
A novel seismocardiogram mathematical model for simplified adjustment of adaptive filter [PDF]
Nonclinical measurements of a seismocardiogram (SCG) can diagnose cardiovascular disease (CVD) at an early stage, when a critical condition has not been reached, and prevents unplanned hospitalization. However, researchers are restricted when it comes to
Andriukaitis, Darius +7 more
core +1 more source
A guide to consumer-grade wearables in cardiovascular clinical care and population health for non-experts. [PDF]
Consumer-grade wearables provide an opportunity to understand public health trends, develop risk stratification tools and monitor interventions. This review introduces the most common wearable sensors and describes the health parameters that can be ...
Jamieson A +5 more
europepmc +3 more sources
Comparison of Different Methods for Estimating Cardiac Timings: A Comprehensive Multimodal Echocardiography Investigation [PDF]
Cardiac time intervals are important hemodynamic indices and provide information about left ventricular performance. Phonocardiography (PCG), impedance cardiography (ICG), and recently, seismocardiography (SCG) have been unobtrusive methods of choice for
Blaber, Andrew P. +13 more
core +4 more sources
Comprehensive Analysis of Cardiogenic Vibrations for Automated Detection of Atrial Fibrillation Using Smartphone Mechanocardiograms [PDF]
Atrial fibrillation (AFib) is the most common sustained heart arrhythmia and is characterized by irregular and excessively frequent ventricular contractions. Early diagnosis of AFib is a key step in the prevention of stroke and heart failure.
Eero Lehtonen +13 more
core +1 more source
Machine learning for the classification of atrial fibrillation utilizing seismo- and gyrocardiogram [PDF]
A significant number of deaths worldwide are attributed to cardiovascular diseases (CVDs), accounting for approximately one-third of the total mortality in 2019, with an estimated 18 million deaths.
Mehrang, Saeed
core

