Diseases

Sparse deep neural network for encoding and decoding the structural connectome

Sparse deep neural network for encoding and decoding the structural connectome 150 150 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)
Objective: Brain state classification by applying deep learning techniques on neuroimaging data has become a recent topic of research. However, unlike domains where the data is low dimensional or there… read more

Detecting Cataract Using Smartphones

Author(s)3: Behnam Askarian, Peter Ho, Jo Woon Chong
Detecting Cataract Using Smartphones 150 150 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

Objective: Cataract, which is the clouding of the crystalline lens, is the most prevalent eye disease accounting for 51% of all eye diseases in the U.S. Cataract is a progressive…

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Detecting effect of levodopa in Parkinson’s disease patients using sustained phonemes

Author(s)3: Nemuel D. Pah, Mohammod A. Motin, Peter Kempster, Dinesh Kumar
Detecting effect of levodopa in Parkinson’s disease patients using sustained phonemes 150 150 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

Background: Parkinson’s disease (PD) is a multi-symptom neurodegenerative disease generally managed with medications, of which levodopa is the most effective. Determining the dosage of levodopa requires regular meetings where motor…

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mHealth Technology Translation in a Limited Resources Community – Process, Challenges, and Lessons Learned from a Limited Resources Community of Chiang Mai Province, Thailand

Author(s)3: Waraporn Boonchieng, Jintana Chaiwan, Bijaya Shrestha, Manash Shrestha, Adam J.O. Dede, Ekkarat Boonchieng
mHealth Technology Translation in a Limited Resources Community – Process, Challenges, and Lessons Learned from a Limited Resources Community of Chiang Mai Province, Thailand 150 150 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

Objective: This report aims to provide practical advice about the implementation of a public health monitoring system using both geographic information system technology and mobile health, a term used for…

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Early detection of Acute Chest Syndrome through electronic recording and analysis of auscultatory percussion

Author(s)3: Bekah Allen, Robert Molokie, Thomas J. Royston
Early detection of Acute Chest Syndrome through electronic recording and analysis of auscultatory percussion 150 150 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

Acute chest syndrome (ACS) is the leading cause of death among people with sickle cell disease. ACS is clinically defined and diagnosed by the presence of a new pulmonary infiltrate…

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High Resolution Cervical Auscultation Signal Features Reflect Vertical and Horizontal Displacement of the Hyoid Bone During Swallowing

Author(s)3: Cédrine Rebrion, Zhenwei Zhang, Yassin Khalifa, Mona Ramadan, Atsuko Kurosu, James L. Coyle, Subashan Perera, Ervin Sejdić
High Resolution Cervical Auscultation Signal Features Reflect Vertical and Horizontal Displacement of the Hyoid Bone During Swallowing 416 394 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

        Abstract Millions of people across the globe suffer from swallowing difficulties, known as dysphagia, which can lead to malnutrition, pneumonia, and even death. Swallowing cervical auscultation, which has been…

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An AI-based Heart Failure Treatment Adviser System

An AI-based Heart Failure Treatment Adviser System

Author(s)3: Zhuo Chen, Elmer Salazar, Kyle Marple, Sandeep R. Das, Alpesh Amin, Daniel Cheeran, Lakshman Tamil, Gopal Gupta
An AI-based Heart Failure Treatment Adviser System 517 81 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

        Management of heart failure is a major health care challenge. Healthcare providers are expected to use best practices described in clinical practice guidelines, which typically consist of a long…

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Radial Pulse Spectrum Analysis as Risk Markers to Improve the Risk Stratification of Silent Myocardial Ischemia in Type 2 Diabetic Patients

Author(s)3: Chi-Wei Chang, Kuo-Meng Liao, Ying-Chun Chen, Sheng-Hung Wang, Ming-Yie Jan, Gin-Chung Wang
Radial Pulse Spectrum Analysis as Risk Markers to Improve the Risk Stratification of Silent Myocardial Ischemia in Type 2 Diabetic Patients 780 595 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

      Diabetic patients with silent myocardial ischemia (SMI) have elevated rates of morbidity and mortality and need intensive care and monitoring. An early predictor of SMI may lead to early…

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Improved Detection of Lung Fluid with Standardized Acoustic Stimulation of the Chest

Improved Detection of Lung Fluid with Standardized Acoustic Stimulation of the Chest

Author(s)3: Adam Rao, Simon Chu, Neil Batlivala, Samuel Zetumer, Shuvo Roy
Improved Detection of Lung Fluid with Standardized Acoustic Stimulation of the Chest 780 328 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

     Accumulation of excess air and water in the lungs leads to breakdown of respiratory function and is a common cause of patient hospitalization. Compact and non-invasive methods to detect…

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