A Novel Broadband Forcecardiography Sensor for Simultaneous Monitoring of Respiration, Infrasonic Cardiac Vibrations and Heart Sounds [PDF]
The precordial mechanical vibrations generated by cardiac contractions have a rich frequency spectrum. While the lowest frequencies can be palpated, the higher infrasonic frequencies are usually captured by the seismocardiogram (SCG) signal and the ...
Andreozzi E. +3 more
core +5 more sources
MSCardio seismocardiography dataset: Initial insights from remote monitoring of cardiovascular-induced chest vibrations via smartphones. [PDF]
The Mississippi State Remote Cardiovascular Monitoring (MSCardio) Study leverages smartphones to remotely collect seismocardiography (SCG) and gyrocardiography data from participants.
Taebi A, Rahman MM.
europepmc +2 more sources
Randomized trial of smartphone application and bed sensor for atrial fibrillation detection in high-risk patients. [PDF]
This two-arm single-center exploratory randomized controlled trial evaluated the efficacy of prolonged rhythm monitoring in atrial fibrillation (AF) detection after an invasive cardiac procedure. Altogether 150 patients were enrolled. In the intervention
Lehto J +13 more
europepmc +2 more sources
Fully automated template matching method for ECG-free heartbeat detection in cardiomechanical signals of healthy and pathological subjects [PDF]
Salvatore Parlato +2 more
exaly +2 more sources
Respiratory diseases including apnea are often accompanied by abnormal respiratory depth, frequency, and rhythm. If different abnormal respiratory patterns can be detected and recorded, with their depth, frequency, and rhythm analyzed, the detection and diagnosis of respiratory diseases can be achieved.
Qisong Wang +8 more
wiley +1 more source
Multiclass Classifier based Cardiovascular Condition Detection Using Smartphone Mechanocardiography [PDF]
Cardiac translational and rotational vibrations induced by left ventricular motions are measurable using joint seismocardiography (SCG) and gyrocardiography (GCG) techniques.
Juhani Airaksinen +8 more
core +1 more source
Heart rate variability (HRV) indexes are becoming useful in various applications, from better diagnosis and prevention of diseases to predicting stress levels.
Čukić Milena +6 more
doaj +1 more source
Implementation of a Machine Learning Algorithm for the Detection of Cardiovascular Diseases in Adult Patients in Public Hospitals of Lima, Peru, 2023 [PDF]
Introduction: Cardiovascular diseases are one of the leading causes of death worldwide. In Lima, Peru, public hospitals face significant challenges in the early and accurate diagnosis of these diseases due to limited resources and trained personnel.
Meneses Claudio, Brian Andreé
core +2 more sources
Detection and analysis of heartbeats in seismocardiogram signals [PDF]
This paper presents an unsupervised methodology to analyze SeismoCardioGram (SCG) signals. Starting from raw accelerometric data, heartbeat complexes are extracted and annotated, using a two-step procedure.
Ciampolini, P. +3 more
core +1 more source
A unified methodology for heartbeats detection in seismocardiogram and ballistocardiogram signals [PDF]
This work presents a methodology to analyze and segment both seismocardiogram (SCG) and ballistocardiogram (BCG) signals in a unified fashion. An unsupervised approach is followed to extract a template of SCG/BCG heartbeats, which is then used to fine ...
Ciampolini, P. +3 more
core +1 more source

