Measuring absorbed energy in the human auditory system using finite element models: A comparison with experimental results
- Cristina Castro-Egler,
- Antonio Garcia-Gonzalez,
- Jose A. Aguilera,
- Pablo M. Cerezo,
- Pablo Lopez-Crespo,
- Antonio González-Herrera
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 ...
Novel stability approach using Routh-Hurwitz criterion for brain computer interface applications
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 ...
Myocardial ischemia simulation based on a multi-scale heart electrophysiology model
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 ...
Deep learning-based anatomical position recognition for gastroscopic examination
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 ...
Predicting drug-target interactions using matrix factorization with self-paced learning and dual similarity information
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 ...
Enhanced acrylic gauge with five eccentric circles for optimizing CT angiography spatial resolution via Taguchi’s methodology
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 ...
Design and analysis of a lower limb assistive exoskeleton robot
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 ...
Discrete Wavelet Transform based ECG classification using gcForest: A deep ensemble method
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 ...
Evaluation of the efficacy of intervention in the management of AD chronic disease based on the theory of “prevention of the recrudescence of disease”
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 ...
Evacuation safety effects of a lightweight elevator-type evacuation device using carbon material: Focus on plantar pressure and muscle strength
Elevator-type evacuation devices have proven to be feasible in high-rise buildings through studies on safety performance and evacuation time. However, there is a lack of research on safety using biosignal analysis in the elderly population.
...Computer-aided detection of prostate cancer in early stages using multi-parameter MRI: A promising approach for early diagnosis
Transrectal ultrasound-guided prostate biopsy is the gold standard diagnostic test for prostate cancer, but it is an invasive examination of non-targeted puncture and has a high false-negative rate.
OBJECTIVE:In this study, we aimed to ...
Association between physical activity and functional movement screening among university students in an adaptive physical course
Physical activity (PA) holds profound implications for the holistic development of college students. However, students with chronic diseases or physical disabilities experience significantly limited PA during adaptive sports.
OBJECTIVE:...
An automatic measurement method for the response of Caenorhabditis elegans to chemicals
Caenorhabditis elegans is a widely used model animal. Chemotaxis assay is one of the experiments that study the effects of different chemicals on nematodes. It is mainly used to study the effects of different chemicals on the perception ...
Sustainable effectiveness of kinetic chain stretching on active hip flexion movement and muscle activation for hamstring tightness: A preliminary investigation
Conventional hamstring (HAM) stretching therapeutic effects are not substantiable in neuromusculoskeletal conditions with HAM tightness or shortness. We developed a kinetic chain stabilization exercise to provide a more sustainable ...
A novel method for gas mixing and distribution in multi-chamber embryo incubators
High-quality control of the gas environment in incubators is crucial for in vitro embryo development, which requires high accuracy, fast recovery, and low gas consumption.
OBJECTIVE:In this study, we propose a novel gas mixing and ...
Brain tumor segmentation based on the U-NET++ network with efficientnet encoder
Brain tumor is a highly destructive, aggressive, and fatal disease. The presence of brain tumors can disrupt the brain’s ability to control body movements, consciousness, sensations, thoughts, speech, and memory. Brain tumors are often ...
A novel approach for estimating initial sound level for speech reception threshold test
The speech reception threshold (SRT), synonymous with the speech recognition threshold, denotes the minimum hearing level required for an individual to discern 50% of presented speech material. This threshold is measured independently in ...
Intelligent quality control of traditional chinese medical tongue diagnosis images based on deep learning
Computer-aided tongue and face diagnosis technology can make Traditional Chinese Medicine (TCM) more standardized, objective and quantified. However, many tongue images collected by the instrument may not meet the standard in clinical ...
Antigout effects and mechanisms of total flavonoids from prunus tomentosa
- Yanan Jiang,
- Chengyi Zhang,
- Xinyue Zhang,
- Na Lan,
- Zihan Zhao,
- Yawei Xv,
- Qi Wang,
- Siwei Wang,
- Baifeng Chen,
- Xi Chen,
- Yilin Wang
In recent years, hyperuricemia and acute gouty arthritis have become increasingly common, posing a serious threat to public health. Current treatments primarily involve Western medicines with associated toxic side effects.
OBJECTIVE:...
Clustering algorithm based on DINNSM and its application in gene expression data analysis
Selecting an appropriate similarity measurement method is crucial for obtaining biologically meaningful clustering modules. Commonly used measurement methods are insufficient in capturing the complexity of biological systems and fail to ...
Comparative analysis of supervised learning algorithms for prediction of cardiovascular diseases
With the advent of artificial intelligence technology, machine learning algorithms have been widely used in the area of disease prediction.
OBJECTIVE:Cardiovascular disease (CVD) seriously jeopardizes human health worldwide, thereby ...
Function of the hand as a predictor of early diagnosis and progression of Alzheimer’s dementia: A systematic review
The dominant feature of Alzheimer’s dementia (AD) is gradual cognitive decline, which can be reflected by reduced finger dexterity.
OBJECTIVE:This review analyzed reports on hand function in AD patients to determine the possibility of ...
Personalized prediction of diabetic foot ulcer recurrence in elderly individuals using machine learning paradigms
This study utilizes machine learning to analyze the recurrence risk of diabetic foot ulcers (DFUs) in elderly diabetic patients, aiming to enhance prevention and intervention efforts.
OBJECTIVE:The goal is to construct accurate ...
Construction of multi-scale feature fusion segmentation model of MRI knee images based on dual attention mechanism weighted aggregation
Early diagnosis of knee osteoarthritis is an important area of research in the field of clinical medicine. Due to the complexity in the MRI imaging sequences and the diverse structure of cartilage, there are many challenges in the ...
Simulation and experimental study on rope driven artificial hand and driven motor
Prosthetic hands have the potential to replace human hands. Using prosthetic hands can help patients with hand loss to complete the necessary daily living actions.
OBJECTIVE:This paper studies the design of a bionic, compact, low-cost, ...
Plane-wave medical image reconstruction based on dynamic Criss-Cross attention and multi-scale convolution
- Cuiyun Yang,
- Taicheng Bian,
- Jin Yang,
- Junyi Hou,
- Yiliang Cao,
- Zhihui Han,
- Xiaoyan Zhao,
- Weijun Wen,
- Xijun Zhu
Plane-wave imaging is widely employed in medical imaging due to its ultra-fast imaging speed. However, the image quality is compromised. Existing techniques to enhance image quality tend to sacrifice the imaging frame rate.
OBJECTIVE:...
Clinical application of two types of Hook-Wire needle localization procedures for pulmonary small nodule biopsy
With the widespread use of low-dose spiral computed tomography (LDCT) and increasing awareness of personal health, the detection rate of pulmonary nodules is steadily rising.
OBJECTIVE:To evaluate the success rate and safety of two ...
Effect of rmEGF combined with ELF-EMF on promoting wound healing in rats
The process of wound healing is complex, and expediting it remains a challenge. The advantages of extremely low frequency electric and magnetic fields (ELF-EMF) are its non-invasive treatment, promotes healing and promotes myogenesis of ...
Applications of deep learning models in precision prediction of survival rates for heart failure patients
Heart failure poses a significant challenge in the global health domain, and accurate prediction of mortality is crucial for devising effective treatment plans. In this study, we employed a Seq2Seq model from deep learning, integrating 12 ...