Results 31 to 40 of about 55,369 (264)

Automatic Detection and Classification of Cough Events Based on Deep Learning

open access: yesCurrent Directions in Biomedical Engineering, 2020
In this paper, a deep learning approach for classification of cough sound segments is presented. The architecture of the network is based on a pre-trained network and the spectrogram images of three recording channels have been extracted for the sake of ...
Hossein Tabatabaei Seyed Amir   +5 more
doaj   +1 more source

SERS spectroscopy with machine learning to analyze human plasma derived sEVs for coronary artery disease diagnosis and prognosis

open access: yesBioengineering & Translational Medicine, 2023
Coronary artery disease (CAD) is one of the major cardiovascular diseases and represents the leading causes of global mortality. Developing new diagnostic and therapeutic approaches for CAD treatment are critically needed, especially for an early ...
Xi Huang   +11 more
doaj   +1 more source

Deformable Spectrograms

open access: yes, 2005
Speech and other natural sounds show high temporal correlation and smooth spectral evolution punctuated by a few, irregular and abrupt changes. In a conventional Hidden Markov Model (HMM), such structure is represented weakly and indirectly through transitions between explicit states representing 'steps' along such smooth changes.
Reyes-Gomez, Manuel   +2 more
openaire   +2 more sources

Imaging by Integrating Stitched Spectrograms

open access: yesCLEO: 2013, 2013
A new diffractive imaging technique called Imaging By Integrating Stitched Spectrograms (IBISS) is presented. Both the data collection and phase retrieval algorithm used in IBISS are direct extensions of frequency resolved optical gating to higher dimensions.
Carson, Teale   +4 more
openaire   +2 more sources

Sparse frequency extrapolation of spectrograms [PDF]

open access: yes2017 25th European Signal Processing Conference (EUSIPCO), 2017
Publication in the conference proceedings of EUSIPCO, Kos island, Greece ...
Akhtar, Jabran, Olsen, Karl Erik
openaire   +1 more source

Acoustic Measures Capture Speech Dysfunction in Spinocerebellar Ataxia

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Spinocerebellar ataxias (SCA) are hereditary cerebellar degenerative disorders with a common feature of dysarthria, involving impaired phonatory and articulatory control of speech, thereby affecting social communication. In this study, we investigated whether acoustic measures could objectively measure speech dysfunction and identify
Zena Fadel   +5 more
wiley   +1 more source

PEDOT‐Based Eutectogel Electrode Arrays for Enhanced High‐Resolution Electrogastrography: Fabrication, Stability, and Wearable Performance

open access: yesAdvanced Functional Materials, EarlyView.
Here, we present a high‐density PEDOT eutectogel electrode array for enhanced body surface gastric mapping. Silver electrodes are blade‐coated onto flexible substrates, followed by electrogelation of PEDOT:PSS and the deposition of a PEDOT:LS eutectogel.
Christopher Slaughter   +8 more
wiley   +1 more source

Idealized computational models for auditory receptive fields

open access: yes, 2014
This paper presents a theory by which idealized models of auditory receptive fields can be derived in a principled axiomatic manner, from a set of structural properties to enable invariance of receptive field responses under natural sound transformations
Friberg, Anders, Lindeberg, Tony
core   +3 more sources

Ionic‐Electronic Hydrogel‐Liquid Metal Composite Bilayer with Tissue‐Adaptive and Adhesive Properties for Closed‐Loop Neuroprosthetic System

open access: yesAdvanced Functional Materials, EarlyView.
A hydrogel–liquid metal composite peripheral nerve interface (HLB‐PNI) combines electrically durable electrodes and tissue‐adhesive hydrogel for tissue‐adaptive implantation. In nerve‐injured rats, it enables the diagnosis of sensory‐motor connectivity via stimulation and neural signal recording.
Yewon Kim   +5 more
wiley   +1 more source

Audio Time Stretching Using Fuzzy Classification of Spectral Bins

open access: yesApplied Sciences, 2017
A novel method for audio time stretching has been developed. In time stretching, the audio signal’s duration is expanded, whereas its frequency content remains unchanged. The proposed time stretching method employs the new concept of fuzzy classification
Eero-Pekka Damskägg, Vesa Välimäki
doaj   +1 more source

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