Journal of Biomedical And Health Informatics
Featured Articles

Featured Articles
Bioinformatics
In this issue, vol. 25, issue 9, September 2021, 2 papers are published related to the topic Bioinformatics. Please click here to view it, with link in IEEE XPLORE. rBPDL: Predicting RNA-binding proteins using deep learningNiu, Mengting; Wu, Jin; Zou, Quan;... Read more
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Medical Informatics
In this issue, vol. 25, issue 9, September 2021, 9 papers are published related to the topic Medical Informatics. Please click here to view them, with links in IEEE XPLORE. A Multichannel Intraluminal Impedance Gastroesophageal Reflux Characterization Algorithm Based on Sparse... Read more
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Imaging Informatics
In this issue vol. 25, issue 9, September 2021, 14 papers are published related to the topic Imaging Informatics. Please click here to view them, with links in IEEE XPLORE. Learning a Deep CNN Denoising Approach Using Anatomical Prior Information Implemented... Read more
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Sensor Informatics
In this issue vol. 25, issue 9, September 2021, 7 papers are published related to the topic Sensor Informatics. Please click here to view them, with links in IEEE XPLORE. Non-invasive monitoring of three glucose ranges based on ECG by using... Read more
Featured Articles, Special Issues
Special Issue on Multi-modal Computing for Biomedical Intelligence Systems
In this issue, vol. 25, issue 9, September 2021, 8 papers are published related to the Special Issue on Multi-modal Computing for Biomedical Intelligence Systems. Please click here to view it, with link in IEEE XPLORE. Learning-Based Computer-Aided Prescription System for... Read more
Featured Articles
Learning a Deep CNN Denoising Approach Using Anatomical Prior Information Implemented with an Attention Mechanism for Low-dose CT Imaging on Clinical Patient Data from Multiple Anatomical Sites
Dose reduction in computed tomography (CT) has gained considerable attention in clinical applications because it decreases radiation risks. However, a lower dose generates noise in low-dose computed tomography (LDCT) images. Previous deep learning (DL)-based works have investigated ways to improve... Read more
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Towards Non-invasive Lung Tumor Tracking Based on Patient Specific Model of Respiratory System
This work aims to calculate a complex internal respiratory and tumoral movements by measuring respiratory airflows and thorax movements. We present a new lung tumor tracking approach based on a patient-specific biomechanical model of the respiratory system, which takes into account the physiology of respiratory motion to simulate the real non-reproducible motion. We have evaluated the model accuracy on five public datasets and over all phases of respiration. The results demonstrate the effectiveness of our physics-based model. This model can be potentially used as non-invasive lung tumor tracking system during treatment based on external sensors... Read more
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Design and Preliminary Performance Assessment of a Wearable Tremor Suppression Glove
Approximately 25% of individuals living with parkinsonian tremor do not respond to traditional treatments. This study presents a novel wearable tremor suppression device (WTSD) that can suppress tremor simultaneously, but independently, in the index finger, thumb, and wrist without restricting the user’s voluntary motion. The prototype was tested and assessed on a participant living with parkinsonian tremor, demonstrating the feasibility of using a WTSD to manage hand and finger tremor. The device enriches the field of upper-limb tremor management, as the first WTSD for multiple joints of the hand... Read more
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In-The-Wild Interference Characterization and Modelling for Electro-Quasistatic-HBC with Miniaturized Wearables
Electro Quasi-Static Human Body Communication (EQS-HBC) is an emerging communication technique that utilizes the conductive medium of the human body to achieve enhanced energy efficient and physically secure communication in comparison to traditional radio wave-based technologies like Bluetooth. This work presents 1) a thorough characterization of interference on the human body in day-to-day life and 2) develops a human body interference coupling biophysical model. The measurements provided in this paper can serve as a guide for device designs or future EQS-HBC studies as it provides understanding into coupling modalities of interference and accurate interference measurement techniques... Read more
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Electroosmosis Based Novel Treatment Approach for Cerebral Edema
This work aims to develop a novel treatment approach for cerebral edema. We propose electroosmosis based treatment to drive edematous fluid out of the brain parenchyma by direct current based on the brain tissue’s electroosmotic property. The predicted results demonstrate that the edematous fluid can be driven out of edema region to subarachnoid space and then absorbed into the superior sagittal sinus together with cerebrospinal fluid to achieve the alleviation of the cerebral edema. The proposed approach has the potential to be developed as a new treatment solely or as a complement to existing conventional treatments of edema... Read more