Published Articles

Development of Point of Care Testing Device for Neurovascular Coupling from Simultaneous Recording of EEG and NIRS During Anodal Transcranial Direct Current Stimulation

Development of Point of Care Testing Device for Neurovascular Coupling from Simultaneous Recording of EEG and NIRS During Anodal Transcranial Direct Current Stimulation
Author(s)3: Utkarsh Jindal, Mehak Sood, Anirban Dutta, Shubhajit Roy Chowdhury
Development of Point of Care Testing Device for Neurovascular Coupling from Simultaneous Recording of EEG and NIRS During Anodal Transcranial Direct Current Stimulation 540 348 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

This paper presents a point-of-care testing device for bedside measurement of cerebral blood flow and cerebrovascular reserve. The device detects neurovascular coupling (NVC) from simultaneous recording of electroencephalogram and near…

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Automated Lung Segmentation and Image Quality Assessment for Clinical 3-D/4-D-Computed Tomography

Automated Lung Segmentation and Image Quality Assessment for Clinical 3-D/4-D-Computed Tomography
Author(s)3: Jie Wei, Guang Li
Automated Lung Segmentation and Image Quality Assessment for Clinical 3-D/4-D-Computed Tomography 540 267 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

4-dimensional computed tomography (4DCT) provides not only a new dimension of patient-specific information for radiation therapy planning and treatment but also a challenging scale of data volume to process and…

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Identifying Cancer Biomarkers From Microarray Data Using Feature Selection and Semisupervised Learning

Identifying Cancer Biomarkers From Microarray Data Using Feature Selection and Semisupervised Learning
Author(s)3: Debasis Chakraborty, Ujjwal Maulik
Identifying Cancer Biomarkers From Microarray Data Using Feature Selection and Semisupervised Learning 540 295 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

Microarrays have now gone from obscurity to being almost ubiquitous in biological research. At the same time, the statistical methodology for microarray analysis has progressed from simple visual assessments of…

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(A) Length and width of the forehead-SBDS electrode are 15 mm in each dimension. Five electrodes are embedded in the forehead-SBDS substrate. (B) Thickness of the forehead-SBDS substrate is approximately 0.8~1 mm. (C) Dimensions of the acicular-SBDS.

Design, Fabrication and Experimental Validation of Novel Flexible Silicon-based Dry Sensors for Electroencephalography Signal Measurements
Author(s)3: Yi-Hsin Yu, Shao-Wei Lu, Lun-De Liao, Chin-Teng Lin
Design, Fabrication and Experimental Validation of Novel Flexible Silicon-based Dry Sensors for Electroencephalography Signal Measurements 540 395 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

(A) Length and width of the forehead-SBDS electrode are 15 mm in each dimension. Five electrodes are embedded in the forehead-SBDS substrate. (B) Thickness of the forehead-SBDS substrate is approximately…

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Monitoring and Analysis of Respiratory Patterns Using Microwave Doppler Radar
Author(s)3: Yee Siong Lee, Pubudu N. Pathirana, Terry Caelli, Christopher Louis Steinfort
Monitoring and Analysis of Respiratory Patterns Using Microwave Doppler Radar 540 226 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

Non-contact detection characteristic of Doppler radar provides an unobtrusive means of respiration detection and monitoring. This avoids additional preparations such as physical sensor attachment or special clothing which can be…

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Automatic Detection and Classification of Unsafe Events during Power Wheelchair Use
Author(s)3: Joelle Pineau, Athena K. Moghaddam, Hiu Kim Yuen, Philippe S. Archambault, Francois Routhier, Francois Michaud, Patrick Boissy
Automatic Detection and Classification of Unsafe Events during Power Wheelchair Use 540 238 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

Using a powered wheelchair (PW) is a complex task requiring advanced perceptual and motor control skills. We develop technological tools that can be used to characterize a PW user’s driving…

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The waveform of the photoplethysmographic image (PPGi) signals may be significantly affected by the light spectra and intensity. The purpose of this study is to evaluate the performance of PPGi aveform acquisition in the red, green and blue channels using a commercial camera in different light conditions. The fitted curve of PPGi amplitudes in the RGB channels with different light intensity for 470 nm, 490 nm, 505 nm, 590 nm, 600 nm, 610 nm, 625 nm, 660 nm wavelengths and white light. X-axes represent averaging DC output form pixels and y-axes represent averaging AC output form pixels. These representative data are from one male, age 30 years old.

The Effect of Light Conditions on Photoplethysmographic Image Acquisition Using a Commercial Camera
Author(s)3: He Liu, Yadong Wang, Lei Wang
The Effect of Light Conditions on Photoplethysmographic Image Acquisition Using a Commercial Camera 540 211 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

The waveform of the photoplethysmographic image (PPGi) signals may be significantly affected by the light spectra and intensity. The purpose of this study is to evaluate the performance of PPGi…

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A Bayesian Algorithm for Anxiety Index Prediction Based on Cerebral Blood Oxygenation in the Prefrontal Cortex Measured by Near Infrared Spectroscopy
A Bayesian Algorithm for Anxiety Index Prediction Based on Cerebral Blood Oxygenation in the Prefrontal Cortex Measured by Near Infrared Spectroscopy 540 227 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

Stress-induced psychological and somatic diseases are virtually endemic nowadays. Written self-report anxiety measures are available; however, these indices tend to be time consuming to acquire. For medical patients, completing written…

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Pre to Intraoperative Data Fusion Framework for Multimodal Characterization of Myocardial Scar Tissue
Pre to Intraoperative Data Fusion Framework for Multimodal Characterization of Myocardial Scar Tissue 540 242 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

Merging multimodal information about myocardial scar tissue can help electrophysiologists to find the most appropriate target during catheter ablation of ventricular arrhythmias. A framework is presented to analyze and combine…

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