Results 11 to 20 of about 530,413 (266)

Wearable Cardiorespiratory Monitoring Employing a Multimodal Digital Patch Stethoscope: Estimation of ECG, PEP, LVET and Respiration Using a 55 mm Single-Lead ECG and Phonocardiogram

open access: yesSensors, 2020
Cardiovascular diseases are the main cause of death worldwide, with sleep disordered breathing being a further aggravating factor. Respiratory illnesses are the third leading cause of death amongst the noncommunicable diseases.
Michael Klum   +6 more
doaj   +1 more source

An optimized deep learning approach based on autoencoder network for P300 detection in brain computer interface systems [PDF]

open access: yesمجله پزشکی دانشگاه علوم پزشکی تبریز, 2022
Background. Brain computer interface (BCI) systems by extracting knowledge from brain signals provide a connection channel to the outside world for disabled people, without physiological interfaces.
Ramin Afrah   +3 more
doaj   +1 more source

Validation System for Digital Stethoscopes

open access: yesCurrent Directions in Biomedical Engineering, 2019
Stethoscope auscultation is a diagnostic method widely used by medical professionals. With the introduction of digital stethoscopes, auscultation sound analysis has been objectified, which led to an increased interest in the field.
Klum Michael   +4 more
doaj   +1 more source

GRU Neural Network Improved Bioimpedance Based Stroke Volume Estimation during Ergometry Stress Test

open access: yesSensors, 2022
Cardiovascular diseases (CVDs) are one of the leading members of non-communicable diseases. An early diagnosis is essential for effective treatment, to reduce hospitalization time and health care costs.
Mike Urban   +6 more
doaj   +1 more source

Short Distance Impedance Pneumography

open access: yesCurrent Directions in Biomedical Engineering, 2018
Gold-standards for biosignal acquisition require body-spanning sensor positioning which is contradictory to the high integration of modern wearable medical monitors.
Klum Michael   +4 more
doaj   +1 more source

Dynamic Brain Connectivity in Resting-State FMRI Using Spectral ICA and Graph Approach: Application to Healthy Controls and Multiple Sclerosis

open access: yesDiagnostics, 2022
Multiple sclerosis (MS) is a neuroinflammatory disease that involves structural and functional damage to the brain. It changes the functional connectivity of the brain between and within networks. Resting-state functional magnetic resonance imaging (fMRI)
Amir Hosein Riazi   +2 more
doaj   +1 more source

Correlation of arterial blood pressure to synchronous piezo, impedance and photoplethysmographic signal features

open access: yesCurrent Directions in Biomedical Engineering, 2017
In this paper we investigate which pulse wave pick-up technologies are well suited for blood pressure trend estimation. We use custom built hardware to acquire electrocardiographic, applanation-tonometric, photo- and impedance-plethysmographic signals ...
Pielmuş Alexandru-Gabriel   +6 more
doaj   +1 more source

An Experimental Platform for Tomographic Reconstruction of Tissue Images in Brightfield Microscopy

open access: yesSensors, 2023
(1) Background: Reviewing biological material under the microscope is a demanding and time-consuming process, prone to diagnostic pitfalls. In this study, a methodology for tomographic imaging of tissue sections is presented, relying on the idea that ...
Panteleimon Koudounas   +6 more
doaj   +1 more source

Cyst identification in retinal optical coherence tomography images using hidden Markov model

open access: yesScientific Reports, 2023
Optical Coherence Tomography (OCT) is a useful imaging modality facilitating the capturing process from retinal layers. In the salient diseases of retina, cysts are formed in retinal layers. Therefore, the identification of cysts in the retinal layers is
Niloofarsadat Mousavi   +5 more
doaj   +1 more source

Continuous signal quality estimation for robust heart rate extraction from photoplethysmographic signals

open access: yesCurrent Directions in Biomedical Engineering, 2020
This study presents a novel method for estimating the signal quality of photoplethysmographic (PPG) signals. For this purpose a robust classifier is implemented and evaluated by using finger- and inear-PPG. A new procedure is proposed, which uses feature
Massmann Jonas   +2 more
doaj   +1 more source

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