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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2021
License: CC BY
Data sources: ZENODO
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Swallowing High Resolution Cervical Auscultation Signals

Authors: Khalifa, Yassin; Donohue, Cara; Coyle, James; Sejdić, Ervin;

Swallowing High Resolution Cervical Auscultation Signals

Abstract

This dataset consists of swallowing vibratory signals collected from a 3D accelerometer and a label microphone attached to the anterior neck. The accelerometer was attached to the skin overlying the cricoid cartilage for the best signal quality. The first two axes of accelerometer were aligned to the anterior-posterior (A-P) and superior-inferior (S-I) directions which can be described as perpendicular to the coronal plane and parallel to the cervical spine respectively. The third axis of accelerometer (medial lateral axis or M-L) was parallel to the axial/transverse plane of the patient’s head and neck. The microphone was mounted towards the right lateral side of the larynx. The signals were sampled at a rate of 4k Hz and the label files include the onset and offset of each swallow in the signals as measured in the simultaneously and completely synchronized x-ray videofluoroscopy streams collected with the signals. The rate of sampling of videofluoroscopy streams was 60 FPS, so in order to convert from a frame number to sample number in signals, use the following relation \(Sample = {Frame \times 4000 \over 60}\). The signal files are N*4 arrays, where N is the length of the signal and the microphone signal followed by the signals from the three axes of the accelerometer in the order mentioned before (A-P, S-I and M-L). The dataset was collected from 248 patients who developed dysphagia (swallowing disorder) secondary to various etiologies, and contains 3144 swallows in total.

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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