Characteristics of the swallowing sounds recorded in the ear, nose and on trachea
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Biomedical Engineering
Link
http://link.springer.com/content/pdf/10.1007/s11517-012-0938-0.pdf
Reference18 articles.
1. Aboofazeli M, Moussavi Z (2005) Analysis and classification of swallowing sounds using reconstructed phase space features. In: Proceedings of IEEE international conference on acoustics, speech, and signal processing (ICASSP), pp 421–424
2. Aboofazli M, Moussavi Z (2009) Swallowing sound detection using hidden Markov modeling of recurrence plot features. J Chaos Solitons Fractals 39(2):778–783
3. Deddens AE, Wilson EP, Lesser THJ, Fredrickson JM (1990) Totally implantable hearing aids: the effects of skin thickness on microphone function. Am J Otolaryngol 11(1):1–4
4. Firmin H, Reilly S, Fourcin A (1997) Non-invasive monitoring of reflexive swallowing. Speech Hear Lang 10:171–184
5. Hamlet S, Penney DG, Formolo J (1994) Stethoscope acoustics and cervical auscultation of swallowing. Dysphagia 9(1):63–68
Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. A review on intelligent aid diagnosis for dysphagia using swallowing sounds;Interdisciplinary Nursing Research;2023-11
2. Dysphagia and Silent Aspiration Monitoring for Patients with Neurological Disorder Using Pharyngeal Deglutitive Biomechanics;Advances in Intelligent Systems and Computing;2021
3. Comparative Analysis of Spontaneous Swallowing Sounds Between the Young and the Elderly: An Indicator of Aging Dysphagia;Journal of Medical Imaging and Health Informatics;2020-10-01
4. Using Machine Learning and a Combination of Respiratory Flow, Laryngeal Motion, and Swallowing Sounds to Classify Safe and Unsafe Swallowing;IEEE Transactions on Biomedical Engineering;2018-11
5. A noninvasive swallowing measurement system using a combination of respiratory flow, swallowing sound, and laryngeal motion;Medical & Biological Engineering & Computing;2016-09-24
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3