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International Journal of Clinical Medicine and Bioengineering
ISSN:2737-534X

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Vol.1, Iss.1, December 2021

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  • Open Access Editorial

    Introduction to a New Journal: International Journal of Clinical Medicine and Bioengineering

    by Po-Lei Lee*, Yuri Shelepin and Teen-Hang Meen
    IJCMB 2021, Vol 1, Issue 1, 1-2, https://doi.org/10.35745/ijcmb2021v01.01.0001 - Published on March 20, 2021

    Abstract

    Clinical medicine is the branch of medicine about the practice of how clinical physicians carry on patients to promote health and cure illness. In contrast to traditional clinical medicine performs diagnosis and treatment on human subjects simply through direct observation, biostatistics, and clinical examination. The progress in recent medical technologies have provided more effective and efficient ways for physicians to treat patients. Scientists employ interdisciplinary knowledge, such as the...

  • Open Access Article

    Noncontact Vital Signs (NCVS) System for Potential Patient Monitoring Enabled by Robust Software Defined Radio (SDR)

    by Y. Liu, C. Sweeney, J. Mayeda, J. Hawkins, S. Rojas, P.E. Lie, T.Q. Nguyen and D.Y.C. Lie*
    IJCMB 2021, Vol 1, Issue 1, 3-11, https://doi.org/10.35745/ijcmb2021v01.01.0002 - Published on September 30, 2021

    Abstract

    This research proposes a robust non-contact vital signs (NCVS) sensor system for continuously monitoring the human respiration rate (RR) and heart rate (HR) in a distance of around1.3 m. The novel Doppler-based NCVS sensor system is realized using an SDR (software defined radio) unit with optimized transmit/receive gain in commercial broadband, which filters intermediate frequency (IF) and operates at 2.4 GHz ISM band using a pair of small PCB antennas. When compared with the vital signs data me...

  • Open Access Article

    A Cortical Learning Machine for Learning Real-Valued and Ranked Data

    by James Ting-Ho Lo* and Bryce Mackey-Williams Carey
    IJCMB 2021, Vol 1, Issue 1, 12-24, https://doi.org/10.35745/ijcmb2021v01.01.0003 - Published on December 30, 2021

    Abstract

    The cortical learning machine (CLM) introduced in [1-3] is a low-order computational model of the neocortex. It has the real-time, photogragraphic, unsupervised, and hierarchical learning capabilities, which existing learning machines such as the multilayer perceptron and convolutional neural network do not have. The CLM is a network of processing units (PUs) each comprising novel computational models of dendrites (for encoding), synapses (for storing code covariance matrices), spiking/nonspikin...

  • Open Access Article

    Conscious and Unconscious Vision Transmission to Brain over Behavior

    by Narisa Nan Chu* and Yuri E. Shelepin
    IJCMB 2021, Vol 1, Issue 1, 25-36, https://doi.org/10.35745/ijcmb2021v01.01.0004 - Published on December 30, 2021

    Abstract

    Our goal is to apply historical evidence with longitudinal records of human underlining brain led behavior, to compensate for the findings based on conventional brain signal and image measurements taken at a resting position. This compensation, due to unconsciousness, is expected to play a major role in one’s decision making process. Using masks to distract vision, also measuring facial muscle movements, we were able to separate cognition through conscious and unconscious vision. Two types of ma...

  • Open Access Article

    Visualizing MRI Deep Learning Segmentation Algorithms using 3D Printing

    by Greg Tyler, Oliver Mathias* and Andrew Papilion
    IJCMB 2021, Vol 1, Issue 1, 37-45, https://doi.org/10.35745/ijcmb2021v01.01.0005 - Published on December 30, 2021

    Abstract

    As the capabilities and roles of Artificial Intelligence (AI) in the medical field are continually expanded, new potential uses, and combinations of technology become viable. This paper highlights a methodology for utilizing AI Magnetic Resonance Imaging (MRI) segmentation networks and 3D printing processes in conjunction for medical diagnosis, planning, and visualization of medical images. We also include promising benefits and potential medical offerings made possible by this system. By traini...

  • Open Access Article

    Real-Time Cognitive Load Measurement in Classroom Environment Using a Dry-Electrode EEG System

    by Po-Lei Lee, Wai-Keung Lee, Hsiao-Huang Chang*, Hao-Teng Hsu and Ting-Kuang Yeh
    IJCMB 2021, Vol 1, Issue 1, 46-52, https://doi.org/10.35745/ijcmb2021v01.01.0006 - Published on December 30, 2021

    Abstract

    Cognitive load (CL) theory suggests that instructional materials need to be designed for reducing unnecessary CL and has been regarded as one of the most influential theories in science education. How to measure individual CL is still under investigation. In this study, we developed an eight-channel dry-electrode electroencephalogram (EEG) system and proposed an algorithm to real-time measure the depth of working memory of the N-back task in a classroom environment. The ocular artifact was remov...