Technology and Health Care - Volume 32, issue S1

Authors: Gómez, Carlos | Liu, Feng

Article Type: Research Article

DOI: 10.3233/THC-248000

Citation: Technology and Health Care, vol. 32, no. S1, pp. 1-1, 2024

Authors: Castro-Egler, Cristina | Garcia-Gonzalez, Antonio | Aguilera, Jose A. | Cerezo, Pablo M. | Lopez-Crespo, Pablo | González-Herrera, Antonio

Article Type: Research Article

Abstract: BACKGROUND: There are different ways to analyze energy absorbance (EA) in the human auditory system. In previous research, we developed a complete finite element model (FEM) of the human auditory system. OBJECTIVE: In this current work, the external auditory canal (EAC), middle ear, and inner ear (spiral cochlea, vestibule, and semi-circular canals) were modelled based on human temporal bone histological sections. METHODS: Multiple acoustic, structure, and fluid-coupled analyses were conducted using the FEM to perform harmonic analyses in the 0.1–10 kHz range. Once the FEM had been validated with published experimental data, its …numerical results were used to calculate the EA or energy reflected (ER) by the tympanic membrane. This EA was also measured in clinical audiology tests which were used as a diagnostic parameter. RESULTS: A mathematical approach was developed to calculate the EA and ER, with numerical and experimental results showing adequate correlation up to 1 kHz. Another published FEM had adapted its boundary conditions to replicate experimental results. Here, we recalculated those numerical results by applying the natural boundary conditions of human hearing and found that the results almost totally agreed with our FEM. CONCLUSION: This boundary problem is frequent and problematic in experimental hearing test protocols: the more invasive they are, the more the results are affected. One of the main objectives of using FEMs is to explore how the experimental test conditions influence the results. Further work will still be required to uncover the relationship between middle ear structures and EA to clarify how to best use FEMs. Moreover, the FEM boundary conditions must be more representative in future work to ensure their adequate interpretation. Show more

Keywords: Finite element model, energy absorbance, auditory system

DOI: 10.3233/THC-248001

Citation: Technology and Health Care, vol. 32, no. S1, pp. 3-15, 2024

Authors: Heo, Sung-Phil | Choi, Hojong | Yang, Yeon-Mo

Article Type: Research Article

Abstract: BACKGROUND: The stability criterion approach is very important for estimating precise behavior before or after fabricating brain computer interface system applications. OBJECTIVE: A novel approach using the Routh-Hurwitz standard criterion method is proposed to easily determine and analyze the stability of brain computer interface system applications. Using this developed approach, we were able to easily test the stability of technical issue using simple programmed codes before or after brain computer interfaces fabrication applications. METHODS: Using a MATLAB simulation program package, we are able to provide two different special case examples such as a …first zero element and a row of zeros to verify the capability of our proposed Routh-Hurwitz method. RESULTS: The MATLAB simulation program provided efficient Routh-Hurwitz standard criterion results by differentiating the highest coefficients of the s and a . CONCLUSION: This technical paper explains how to use our proposed new Routh-Hurwitz standard condition to simply ascertain and determine the brain computer interface system stability without customized commercial simulation tools. Show more

Keywords: Stability approach, Routh-Hurwitz, brain computer interface, system stability, standard criterion method

DOI: 10.3233/THC-248002

Citation: Technology and Health Care, vol. 32, no. S1, pp. 17-25, 2024

Authors: Zhu, Junjiang | Li, Mengyang | Liu, Renjie

Article Type: Research Article

Abstract: BACKGROUND: Myocardial ischemia, caused by insufficient myocardial blood supply, is a leading cause of human death worldwide. Therefore, it is crucial to prioritize the prevention and treatment of this condition. Mathematical modeling is a powerful technique for studying heart diseases. OBJECTIVE: The aim of this study was to discuss the quantitative relationship between extracellular potassium concentration and the degree of myocardial ischemia directly related to it. METHODS: A human cardiac electrophysiological multiscale model was developed to calculate action potentials of all cells simultaneously, enhancing efficiency over traditional reaction-diffusion models. RESULTS: …Contrary to the commonly held view that myocardial ischemia is caused by an increase in extracellular potassium concentration, our simulation results indicate that level 1 ischemia is associated with a decrease in extracellular potassium concentration. CONCLUSION: This unusual finding provides a new perspective on the mechanisms underlying myocardial ischemia and has the potential to lead to the development of new diagnostic and treatment strategies. Show more

Keywords: Multi-scale model, cardiac electrophysiology, celluar automata, myocardial ischemia, extracellular potassium concentration

DOI: 10.3233/THC-248003

Citation: Technology and Health Care, vol. 32, no. S1, pp. 27-38, 2024

Authors: Su, Xiufeng | Liu, Weiyu | Jiang, Suyi | Gao, Xiaozhong | Chu, Yanliu | Ma, Liyong

Article Type: Research Article

Abstract: BACKGROUND: The gastroscopic examination is a preferred method for the detection of upper gastrointestinal lesions. However, gastroscopic examination has high requirements for doctors, especially for the strict position and quantity of the archived images. These requirements are challenging for the education and training of junior doctors. OBJECTIVE: The purpose of this study is to use deep learning to develop automatic position recognition technology for gastroscopic examination. METHODS: A total of 17182 gastroscopic images in eight anatomical position categories are collected. Convolutional neural network model MogaNet is used to identify all the anatomical positions …of the stomach for gastroscopic examination The performance of four models is evaluated by sensitivity, precision, and F1 score. RESULTS: The average sensitivity of the method proposed is 0.963, which is 0.074, 0.066 and 0.065 higher than ResNet, GoogleNet and SqueezeNet, respectively. The average precision of the method proposed is 0.964, which is 0.072, 0.067 and 0.068 higher than ResNet, GoogleNet, and SqueezeNet, respectively. And the average F1-Score of the method proposed is 0.964, which is 0.074, 0.067 and 0.067 higher than ResNet, GoogleNet, and SqueezeNet, respectively. The results of the t -test show that the method proposed is significantly different from other methods (p < 0.05). CONCLUSION: The method proposed exhibits the best performance for anatomical positions recognition. And the method proposed can help junior doctors meet the requirements of completeness of gastroscopic examination and the number and position of archived images quickly. Show more

Keywords: Gastroscopic image, anatomical position recognition, convolutional neural network

DOI: 10.3233/THC-248004

Citation: Technology and Health Care, vol. 32, no. S1, pp. 39-48, 2024

Authors: Ling, Caijin | Zeng, Ting | Dang, Qi | Liang, Yong | Liu, Xiaoying | Xie, Shengli

Article Type: Research Article

Abstract: BACKGROUND: Drug repositioning (DR) refers to a method used to find new targets for existing drugs. This method can effectively reduce the development cost of drugs, save time on drug development, and reduce the risks of drug design. The traditional experimental methods related to DR are time-consuming, expensive, and have a high failure rate. Several computational methods have been developed with the increase in data volume and computing power. In the last decade, matrix factorization (MF) methods have been widely used in DR issues. However, these methods still have some challenges. (1) The model easily falls into a bad …local optimal solution due to the high noise and high missing rate in the data. (2) Single similarity information makes the learning power of the model insufficient in terms of identifying the potential associations accurately. OBJECTIVE: We proposed self-paced learning with dual similarity information and MF (SPLDMF), which introduced the self-paced learning method and more information related to drugs and targets into the model to improve prediction performance. METHODS: Combining self-paced learning first can effectively alleviate the model prone to fall into a bad local optimal solution because of the high noise and high data missing rate. Then, we incorporated more data into the model to improve the model’s capacity for learning. RESULTS: Our model achieved the best results on each dataset tested. For example, the area under the receiver operating characteristic curve and the precision-recall curve of SPLDMF was 0.982 and 0.815, respectively, outperforming the state-of-the-art methods. CONCLUSION: The experimental results on five benchmark datasets and two extended datasets demonstrated the effectiveness of our approach in predicting drug-target interactions. Show more

Keywords: Drug repositioning, drug-target interaction prediction, self-paced learning, matrix factorization, multi-view similarity information

DOI: 10.3233/THC-248005

Citation: Technology and Health Care, vol. 32, no. S1, pp. 49-64, 2024

Authors: Shen, Cheng-Mao | Lin, Ya-Hui | Li, Dian-Fong | Pan, Lung-Kwang | Peng, Bing-Ru

Article Type: Research Article

Abstract: BACKGROUND: Cerebral examination via CTA is always the first choice for patients with unexpected brain injury or different types of brain lesions to detect ruptured hemangiomas, vascular infarcts, or other brain tissue lesions. OBJECTIVE: This study innovated the acrylic gauge with five eccentric circles for computed tomography angiography (CTA) analysis to optimize the spatial resolution via Taguchi’s methodology. METHODS: The customized gauge was revised from the V-shaped slit gauge and transferred into five eccentric circles’ slit gauge. The gauge was assembled with another six acrylic layers to simulate the human head. Taguchi’s L18 …orthogonal array was adopted to optimize the spatial resolution of CTA imaging quality. In doing so, six essential factors of CTA are kVp, mAs, spiral rotation pitch, FOV, rotation time of the CT and reconstruction filter, and each factor has either two or three levels to organize into eighteen combinations to simulate the full factor combination of 486 (21 × 35 = 486) times according to Taguchi’s recommendation. Three well-trained radiologists ranked the gauge’s 18 CTA scanned imaging qualities according to contrast, sharpness, and spatial resolution and derived the unique fish-bone-plot of six factors for further analysis. The optimal factor combination of CTA was proven by follow-up verification and ANOVA to obtain this study’s dominant or minor factor. RESULTS: The optimal factor combination of CTA was A2 (120 kVp), B3 (200 mAs), C1 (Pitch 0.6), D2 (FOV 220 mm2), E1 (rotation time 0.33 s), and F3 (Brain sharp, UC). Furthermore, deriving a quantified MDD (minimum detectable difference) to imply the spatial resolution of CTA, a semiauto profile analysis program run in MATLAB and OriginPro was recommended to evaluate the MDD and to suppress the manual error in calculation. Eventually, the derived MDDs of the conventional and optimal factor combinations of CTA were 2.35 and 2.26 mm, respectively, in this study. CONCLUSION: Taguchi’s methodology was found applicable for quantifying the CTA imaging quality in practical applications. Show more

Keywords: Eccentric circles gauge, spatial resolution, Taguchi optimization, MDD

DOI: 10.3233/THC-248006

Citation: Technology and Health Care, vol. 32, no. S1, pp. 65-78, 2024

Authors: Li, Xiang | Wang, Ke-Yi | Yang, Zi-Yi

Article Type: Research Article

Abstract: BACKGROUND: In recent years, exoskeleton robot technology has developed rapidly. Exoskeleton robots that can be worn on a human body and provide additional strength, speed or other abilities. Exoskeleton robots have a wide range of applications, such as medical rehabilitation, logistics and disaster relief and other fields. OBJECTIVE: The study goal is to propose a lower limb assistive exoskeleton robot to provide extra power for wearers. METHODS: The mechanical structure of the exoskeleton robot was designed by using bionics principle to imitate human body shape, so as to satisfy the coordination of man-machine …movement and the comfort of wearing. Then a gait prediction method based on neural network was designed. In addition, a control strategy according to iterative learning control was designed. RESULTS: The experiment results showed that the proposed exoskeleton robot can produce effective assistance and reduce the wearer’s muscle force output. CONCLUSION: A lower limb assistive exoskeleton robot was introduced in this paper. The kinematics model and dynamic model of the exoskeleton robot were established. Tracking effects of joint angle displacement and velocity were analyzed to verify feasibility of the control strategy. The learning error of joint angle can be improved with increase of the number of iterations. The error of trajectory tracking is acceptable. Show more

Keywords: Assistive exoskeleton robot, lower limb exoskeleton robot, kinematics analysis, dynamic analysis, gait prediction method

DOI: 10.3233/THC-248007

Citation: Technology and Health Care, vol. 32, no. S1, pp. 79-93, 2024

Authors: Lin, Mingfeng | Hong, Yuanzhen | Hong, Shichai | Zhang, Suzhen

Article Type: Research Article

Abstract: BACKGROUND: Cardiovascular diseases (CVDs) are the leading global cause of mortality, necessitating advanced diagnostic tools for early detection. The electrocardiogram (ECG) is pivotal in diagnosing cardiac abnormalities due to its non-invasive nature. OBJECTIVE: This study aims to propose a novel approach for ECG signal classification, addressing the challenges posed by the complexity of ECG signals associated with various diseases. METHODS: Our method integrates Discrete Wavelet Transform (DWT) for feature extraction, capturing salient features of cardiovascular diseases. Subsequently, the gcForest model is employed for efficient classification. The approach is tested on the MIT-BIH Arrhythmia …Database. RESULTS: The proposed method demonstrates promising results on the MIT-BIH Arrhythmia Database, achieving a test accuracy of 98.55%, recall of 98.48%, precision of 98.44%, and an F1 score of 98.46%. Additionally, the model exhibits robustness and low sensitivity to hyper-parameters. CONCLUSION: The combined use of DWT and the gcForest model proves effective in ECG signal classification, showcasing high accuracy and reliability. This approach holds potential for improving early detection of cardiovascular diseases, contributing to enhanced cardiac healthcare. Show more

Keywords: ECG classification, Discrete Wavelet Transform, GcForest

DOI: 10.3233/THC-248008

Citation: Technology and Health Care, vol. 32, no. S1, pp. 95-105, 2024

Authors: Zhang, Lian | Chen, Ninggang | Ye, Jingjing | Lin, Hangjuan

Article Type: Research Article

Abstract: BACKGROUND: Atopic dermatitis (AD) is a common inflammatory skin disease with a chronic course and a high recurrence. OBJECTIVE: Based on the theory of “prevention and recovery after ulceration”, the application value and significance of compound ginseng cicada decoction in the intervention of chronic disease management in patients with AD were retrospectively analyzed. METHODS: Through clinical retrospective observation, 60 patients with spleen deficiency and moisture type AD admitted to the outpatient clinic of our hospital after January 2019 were analyzed. After comprehensive treatment until the patient’s Investigator’s Global Assessment (IGA) Scale score is …lower than 2 points, the study group was divided into a research group and a control group, according to the actual clinical follow-up whether to take compound ginseng cicada soup. The control group carried out chronic disease management education, conventional emollient topical with no drug maintenance intervention, and the research group included clinical patients who were orally administered to compound ginseng cicada decoction for 1 month, observed for 3 months, and compared with the clinical recurrence (recurrence rate, time to first recurrence, severity at recurrence, degree of pruritus), and the quality of life. RESULTS: After 3 months, the relapse rate, recurrence severity, itching degree and quality of life impact scores of the study group were significantly lower than those of the control group, and there were no obvious adverse events. CONCLUSION: The combined application of compound ginseng cicada decoction in the management of chronic diseases in patients with atopic dermatitis has the positive significance of reducing AD recurrence, alleviating the severity of recurrence, and effectively improving the life quality of patients. This method has high safety and is worthy of wide application. Show more

Keywords: Compound ginseng cicada decoction, atopic dermatitis, slow disease management, prevention of the recrudescence of disease

DOI: 10.3233/THC-248009

Citation: Technology and Health Care, vol. 32, no. S1, pp. 107-114, 2024