Mattress-Based Non-Influencing Sleep Apnea Monitoring System [PDF]
Sensors, 2023 A mattress-type non-influencing sleep apnea monitoring system was designed to detect sleep apnea-hypopnea syndrome (SAHS). The pressure signals generated during sleep on the mattress were collected, and ballistocardiogram (BCG) and respiratory signals ...
Pengjia Qi +6 more
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A ballistocardiogram dataset with reference sensor signals in long-term natural sleep environments [PDF]
Scientific DataTo facilitate unobtrusive and continuous sleep monitoring and promote intelligent sleep quality assessment, we present a dataset that includes multiple nights of continuous ballistocardiogram (BCG) data collected using piezoelectric film sensors from 32 ...
Yong-Xian Li +5 more
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EEG-fMRI: Ballistocardiogram Artifact Reduction by Surrogate Method for Improved Source Localization [PDF]
Frontiers in Neuroscience, 2022 For the analysis of simultaneous EEG-fMRI recordings, it is vital to use effective artifact removal tools. This applies in particular to the ballistocardiogram (BCG) artifact which is difficult to remove without distorting signals of interest related to ...
Mateusz Rusiniak +6 more
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Non-invasive monitoring of cardiac function through Ballistocardiogram: an algorithm integrating short-time Fourier transform and ensemble empirical mode decomposition [PDF]
Frontiers in Physiology, 2023 The Ballistocardiogram (BCG) is a vibration signal that is generated by the displacement of the entire body due to the injection of blood during each heartbeat. It has been extensively utilized to monitor heart rate. The morphological features of the BCG
Jingda Feng +7 more
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Nonlinear Heart Rate Variability Analysis for Sleep Stage Classification Using Integration of Ballistocardiogram and Apple Watch [PDF]
Nature and Science of SleepDominic Jaworski,1,2 Edward J Park1,2 1Mechatronic Systems Engineering, Simon Fraser University, Surrey, BC, V3T 0A3, Canada; 2WearTech Labs, Simon Fraser University, Surrey, BC, V3V 0C6, CanadaCorrespondence: Edward J Park; Dominic Jaworski, Surrey ...
Jaworski D, Park EJ
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An EEG dataset with carbon wire loops in cognitive tasks and resting state inside and outside MR scanners [PDF]
Scientific DataWe present a new dataset consisting of functional magnetic resonance imaging (fMRI) and electroencephalography (EEG) collected from 39 healthy adults in their twenties to forties while performing cognitive tasks (visual oddball and N-back tasks) in ...
Mizuki Tsutsumi +5 more
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A Multi-Pathology Ballistocardiogram Dataset for Cardiac Function Monitoring and Arrhythmia Assessment [PDF]
Scientific DataCardiac dysfunction plays a critical role in clinical diagnostics and treatment. Although traditional methods like echocardiography and blood biomarkers are effective, their limitations highlight the need for noninvasive and continuous monitoring ...
Jing Zhan +6 more
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Retracted: ResNet-BiLSTM: A Multiscale Deep Learning Model for Heartbeat Detection Using Ballistocardiogram Signals. [PDF]
J Healthc Eng, 2023 Journal of Healthcare Engineering, Volume 2023, Issue 1, 2023.
Healthcare Engineering JO.
europepmc +2 more sources
Ballistocardial Signal-Based Personal Identification Using Deep Learning for the Non-Invasive and Non-Restrictive Monitoring of Vital Signs [PDF]
SensorsOwing to accelerated societal aging, the prevalence of elderly individuals experiencing solitary or sudden death at home has increased. Therefore, herein, we aimed to develop a monitoring system that utilizes piezoelectric sensors for the non-invasive ...
Karin Takahashi, Hitoshi Ueno
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Artifact Reduction in Simultaneous EEG-fMRI: A Systematic Review of Methods and Contemporary Usage
Frontiers in Neurology, 2021 Simultaneous electroencephalography-functional MRI (EEG-fMRI) is a technique that combines temporal (largely from EEG) and spatial (largely from fMRI) indicators of brain dynamics.
Madeleine Bullock +7 more
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