AIMC Topic: Ballistocardiography

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A Globalized Model for Mapping Wearable Seismocardiogram Signals to Whole-Body Ballistocardiogram Signals Based on Deep Learning.

IEEE journal of biomedical and health informatics Jul 29, 2019
The ballistocardiography (BCG) signal is a measurement of the vibrations of the center of mass of the body due to the cardiac cycle and can be used for noninvasive hemodynamic monitoring. The seismocardiography (SCG) signals measure the local vibrati...
Accelerometry Heart Function Tests Ballistocardiography Young Adult Adult Deep Learning Male Wearable Electronic Devices Humans Signal Processing, Computer-Assisted Female
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A Feasible Feature Extraction Method for Atrial Fibrillation Detection From BCG.

IEEE journal of biomedical and health informatics Jul 10, 2019
Atrial fibrillation (AF) is the most frequently occurring form of arrhythmia, which induces multiple fatal diseases and impairs the quality of life in patients; thus, the study of the diagnostic methods for detecting AF is clinically important. Here,...
Signal Processing, Computer-Assisted Atrial Fibrillation Ballistocardiography Female Aged Aged, 80 and over Male Middle Aged Support Vector Machine Humans Machine Learning Algorithms
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Multiple Instance Dictionary Learning for Beat-to-Beat Heart Rate Monitoring From Ballistocardiograms.

IEEE transactions on bio-medical engineering Mar 6, 2018
A multiple instance dictionary learning approach, dictionary learning using functions of multiple instances (DL-FUMI), is used to perform beat-to-beat heart rate estimation and to characterize heartbeat signatures from ballistocardiogram (BCG) signal...
Ballistocardiography Humans Signal Processing, Computer-Assisted Young Adult Algorithms Supervised Machine Learning Adult Female Heart Rate Male
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Classification of Sleep-Wake State in Ballistocardiogram system based on Deep Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2022
Sleep state classification is essential for managing and comprehending sleep patterns, and it is usually the first step in identifying sleep disorders. Polysomnography (PSG), the gold standard, is intrusive and inconvenient for regular/long-term slee...
Polysomnography Sleep Wake Disorders Ballistocardiography Humans Deep Learning Sleep
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Deep learning-based ballistocardiography reconstruction algorithm on the optical fiber sensor.

Optics express Apr 11, 2022
Ballistocardiography (BCG) is a vibration signal related to cardiac activity, which can be obtained in a non-invasive way by optical fiber sensors. In this paper, we propose a modified generative adversarial network (GAN) to reconstruct BCG signals b...
Optical Fibers Ballistocardiography BCG Vaccine Algorithms Deep Learning
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Efficient J Peak Detection From Ballistocardiogram Using Lightweight Convolutional Neural Network.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Nov 1, 2021
Ballistocardiagram (BCG) is a non-contact and non-invasive technique to obtain physiological information with the potential to monitor Cardio Vascular Disease (CVD) at home. Accurate detection of J-peak is the key to get critical indicators from BCG ...
Ballistocardiography Humans Neural Networks, Computer Electrocardiography Sleep
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A Unique Signature of Cardiac-Induced Cranial Forces During Acute Large Vessel Stroke and Development of a Predictive Model.

Neurocritical care Aug 1, 2020
BACKGROUND: Cranial accelerometry is used to detect cerebral vasospasm and concussion. We explored this technique in a cohort of code stroke patients to see whether a signature could be identified to aid in the diagnosis of large vessel occlusion (LV...
Humans Machine Learning Tomography, X-Ray Computed Male Middle Aged Electrocardiography Female Aged Aged, 80 and over Pulsatile Flow Ballistocardiography Accelerometry Migraine Disorders Computed Tomography Angiography Ischemic Stroke Cerebral Angiography Infarction, Middle Cerebral Artery
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Automatic Detection of Atrial Fibrillation from Ballistocardiogram (BCG) Using Wavelet Features and Machine Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
This paper presents an unobtrusive method for automatic detection of atrial fibrillation (AF) from single-channel ballistocardiogram (BCG) recordings during sleep. We developed a remote data acquisition system that measures BCG signals through an ele...
Humans Machine Learning Algorithms Monitoring, Physiologic Ballistocardiography Atrial Fibrillation Sleep Wavelet Analysis
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Obstructive sleep apnea syndrome detection based on ballistocardiogram via machine learning approach.

Mathematical biosciences and engineering : MBE Jun 19, 2019
Obstructive sleep apnea (OSA) is a common sleep-related respiratory disease that affects people's health, especially in the elderly. In the traditional PSG-based OSA detection, people's sleep may be disturbed, meanwhile the electrode slices are easil...
Risk Ballistocardiography Nonlinear Dynamics Humans Sleep Diagnosis, Computer-Assisted Machine Learning False Positive Reactions Algorithms Electrocardiography Signal Processing, Computer-Assisted Reproducibility of Results Decision Trees Sleep Apnea, Obstructive Sensitivity and Specificity Heart Rate
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Heart beat characterization from ballistocardiogram signals using extended functions of multiple instances.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
A multiple instance learning (MIL) method, extended Function of Multiple Instances (eFUMI), is applied to ballistocardiogram (BCG) signals produced by a hydraulic bed sensor. The goal of this approach is to learn a personalized heartbeat "concept" fo...
Uncertainty Humans Transducers Machine Learning Ballistocardiography Heart Rate
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