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International Journal of Clinical Medicine and Bioengineering
ISSN:2737-534X
Frequency: Quarterly Published by lIKll

Vol.2, Iss.2, June 2022

Neuroplasticity-based stimulation therapy assists in restoring the visual system in neurodegenerative disorders. Scale-free fluctuations peculiar to healthy physiological rhythms disappear as the disease progresses. Fractal visual stimuli positively influence CNS plasticity and increase the efficiency of visual rehabilitation. To determine the effect of a lengthy course of fractal photostimulation (FS) on the electroretinogram (ERG) in healthy rabbits, a device for FS was created. For twelve healthy rabbits, 20-minute FS sessions were conducted once a day from 9 to 11 a.m., five times a week. Before and after 1, 4, and 12 weeks of FS, full-field ERGs, flicker ERGs, and the pattern-ERGs were registered. The observed positive impact of FS consisted of shortening peak latency of the maximal scotopic ERG b-wave and a significant increase in the amplitude of the cone ERG a- and b-waves and low-frequency flicker ERGs (p<0.05). For the first time, we describe the effect of FS on the ERG. The long-term FS does not impair retinal activity and can be safely used in the clinic. The dynamics of the positive influence of FS on retinal activity argue that the duration of the FS course of 1 to 4 weeks is optimal for subsequent studies.
  • Open Access Article

    Changes in Functional Activity of Rabbit’s Retina During Flicker Photostimulation with Scale-free Dynamics

    by Vladimir V. Neroev, Marina V. Zueva*, Natalia V. Neroeva, Denis V. Fadeev, Irina V. Tsapenko, Tatiana D. Okhotsimskaya and Vladislav I. Kotelin
    IJCMB 2022, Vol 2, Issue 2, 1-19, https://doi.org/10.35745/ijcmb2022v02.02.0001 - Published on June 30, 2022

    Abstract

    Neuroplasticity-based stimulation therapy assists in restoring the visual system in neurodegenerative disorders. Scale-free fluctuations peculiar to healthy physiological rhythms disappear as the disease progresses. Fractal visual stimuli positively influence CNS plasticity and increase the efficiency of visual rehabilitation. To determine the effect of a lengthy course of fractal photostimulation (FS) on the electroretinogram (ERG) in healthy rabbits, a device for FS was created. For twelve hea...

  • Open Access Article

    Monogenic Lupus Is a Construct: Insights into the Current Nomenclature and Classification

    by Lujayn Akbar and Sulaiman M Al-Mayouf*
    IJCMB 2022, Vol 2, Issue 2, 20-26, https://doi.org/10.35745/ijcmb2022v02.02.0002 - Published on June 30, 2022

    Abstract

    Monogenic lupus is a rare inherited entity, which has been increasingly recognized over the past decade. Monogenic lupus demonstrates heterogeneity in etiopathogenesis, phenotypes, and outcome compared to sporadic systemic lupus erythematous (SLE). Its distinctive features include early-onset disease, atypical manifestations of underlying diseases such as immunodeficiency, immune dysregulation, and refractory disease course. The term “monogenic lupus” has been used internationally to collectivel...

  • Open Access Article

    Evaluation of Facial Skin Condition Based on RBX Image Technology

    by Po-Han Huang, Shu-Chen Chang and Chih-Yu Wang*
    IJCMB 2022, Vol 2, Issue 2, 27-34, https://doi.org/10.35745/ijcmb2022v02.02.0003 - Published on June 30, 2022

    Abstract

    The skin color of the human face is mainly determined by the content of hemoglobin (in red) and melanin (in brown). RBX image technology transforms full-color images into RBX color space, in which the "Red" component is associated with hemoglobin, and the "Brown" component is associated with melanin. This article presents a skin condition evaluation system based on RBX image technology, which is practically applied to the identification of the severity of rosacea patients, as well as the whitene...

  • Open Access Article

    Building Statistical Model for Predicting Risk of Diabetes

    by Te-Jen Su, Feng-Chun Lee and Shih-Ming Wang*
    IJCMB 2022, Vol 2, Issue 2, 35-39, https://doi.org/10.35745/ijcmb2022v02.02.0004 - Published on June 30, 2022

    Abstract

    In recent years, diabetes has become one of the most common human diseases in the world, and is even the main cause of high mortality and economic losses, while timely diagnosis and prediction provide patients with appropriate methods for prevention and treatment. By using a logistic regression model, we tried to predict type 2 diabetes. The statistical analysis was conducted with SPSS for descriptive analysis of data, a chi-square test, and logistic regression analysis to predict the risk facto...

  • Open Access Article

    Care Assistance and Abnormal Activity Warning System by Bluetooth Positioning

    by Jia-Wen Wang, Hung-Wei Chang, Ai-Jia Hsieh and Chun-Pin Chang*
    IJCMB 2022, Vol 2, Issue 2, 40-54, https://doi.org/10.35745/ijcmb2022v02.02.0005 - Published on June 30, 2022

    Abstract

    At present, the domestic demand for long-term care is growing rapidly. However, the replenishment of related services has been slow. This leads to an imbalance in the proportion of nursing staff. The result was a shortage of manpower and a hectic work schedule. If there is a system to assist caregivers in their daily work processes, the burden on caregivers reduces. The constructed system in this research has the functions of Bluetooth indoor positioning, abnormal state judgment, early warning w...

  • Open Access Article

    Time Series Multi-task Learning for Prognosis of MICU and SICU

    by Yen-Jung Chiu, Szu-Hsien Wu, Ping-Feng Wu, Chao-Chun Chuang, Ming-Liang Hsiao, Mei-Jung Chen, Pei-Ru Chen and Shih-Tsang Tang*
    IJCMB 2022, Vol 2, Issue 2, 55-62, https://doi.org/10.35745/ijcmb2022v02.02.0006 - Published on June 30, 2022

    Abstract

    The prognostic assessment of an ICU patient involves assessing the severity of their condition, interventions, and length of ICU stay. Over the past 30 years, researchers have proposed numerous predictive models and severity assessment scales for ICU patients in specific regions, including APACHE II and SAPS II. However, most existing methods rely heavily on curve fitting which do not account for misclassifications caused by false negatives and positives. Specificity and sensitivity must be prov...