Prediction of joint moments from kinematics using machine learning in children with congenital talipes equino varus and typically developing peers.

Background: Understanding joint loading and the crucial role of joint moments is essential for developing treatment strategies in gait analysis, which often requires the precise estimation of joint moments through an inverse dynamic approach. This process necessitates the use of a force plate synchronized with a motion capture system. However, effectively capturing ground reaction force in typically developing (TD) children and those with congenital talipes equino varus (CTEV) presents challenges, while the availability and high cost of additional force plates pose additional challenges.

Influence of Wavy Arteries and Veins on Hemodynamic Characteristics: A Numerical Study.

The present work is focused on the study of hemodynamic characteristics for tortuous arteries/veins. Tortuosity in arteries/veins is defined by introducing waviness in the wall of the tube. Analysis is further extended for bifurcated veins with and without wavy walls.

Gait variability and biomechanical distinctions in knee osteoarthritis: Insights from a 3D analysis in an adult elderly cohort.

Background: This study employs 3D gait analysis to investigate normal gait patterns in individuals afflicted with knee Osteoarthritis (OA). Focusing on the adult osteoarthritic population, the research aims to establish reference values for joint angles, temporospatial parameters, Gait Profile Score (GPS), and Movement Analysis Profile (MAP) collected concurrently along a standardized walking path. Furthermore, the study delves into potential variations linked to gender and OA severity, comparing gait parameters between male and female participants and among individuals with grade 3 and grade 4 OA.

Effect of total knee arthroplasty on contralateral knee: A prospective comparative gait analysis of non-operated legs in the Indian population.

Introduction: Biomechanics plays a crucial function in osteoarthritis. Changes in the biomechanical parameters of the contralateral knee following total knee arthroplasty (TKA) may result in pain in the contralateral knee. The objective of this study was to examine preoperative and postoperative gait measurements on the contralateral leg following a TKA for a variety of gait measures at a self-selected normal gait pace in a similar speed population.

3D Bioprinting: A Systematic Review for Future Research Direction.

Purpose: 3D bioprinting is capable of rapidly producing small-scale human-based tissue models, or organoids, for pathology modeling, diagnostics, and drug development. With the use of 3D bioprinting technology, 3D functional complex tissue can be created by combining biocompatible materials, cells, and growth factor. In today's world, 3D bioprinting may be the best solution for meeting the demand for organ transplantation.

Finite element analysis of a healthy knee joint at deep squatting for the study of tibiofemoral and patellofemoral contact.

Background: In non-western countries, deep squatting is a daily activity, and prolonged deep squatting is common among occupational squatters. Household tasks, taking a bath, socializing, using toilets, and performing religious acts are among the activities frequently carried out while squatting by the Asian population. High knee loading is responsible for a knee injury and osteoarthritis.

Estimation and Comparison of Knee Joint Contact Forces During Heel Contact and Heel Rise Deep Squatting.

Background: Increased knee flexion is required for deep squatting in the daily life of the non-western population as well as in many sports activities. The purpose of this study was to estimate as well as to compare knee joint contact forces during heel contact (HC) and heel rise (HR) deep squatting in 10 healthy young Indian participants.

Materials And Methods: Kinematic data were captured using a 12-camera Motion Analysis system.

Techniques to determine knee joint contact forces during squatting: A systematic review.

This review article provides an overview of techniques used to determine human knee joint contact forces during squatting. The main two approaches are experimental and theoretical. Thigh calf contact has a significant effect on knee forces and should not be neglected.

Masked-face recognition using deep metric learning and FaceMaskNet-21.

Unlabelled: The coronavirus disease 2019 (COVID-19) has made it mandatory for people all over the world to wear facial masks to prevent the spread of the virus. The conventional face recognition systems used for security purposes have become ineffective in the current situation since the face mask covers most of the important facial features such as nose, mouth, etc. making it very difficult to recognize the person.

Data Analysis of COVID-19 Hospital Records Using Contextual Patient Classification System.

Humanity today is suffering from one of the most dangerous pandemics in history, the Coronavirus Disease of 2019 (COVID-19). Although today there is immense advancement in the medical field with the latest technology, the COVID-19 pandemic has affected us severely. The virus is spreading rapidly, resulting in an escalation in the number of patients admitted.

Identification of Alzheimer associated differentially expressed gene through microarray data and transfer learning-based image analysis.

Major factors contribute to mental stress and enhance the progression of late-onset Alzheimer's disease (AD). The factors that lead to neurodegeneration, such as tau protein hyperphosphorylation and increased amyloid-beta production, can be mimicked in animal stress models. The present study identifies differentially expressed genes (DEGs) data and its corresponding predictive image analysis in rat models.

Applications of IoT for achieving sustainability in agricultural sector: A comprehensive review.

This research aims to achieve a holistic understanding of the current IoT scenario by conducting a comparative analysis of the prevailing literature regarding IoT applications in the agricultural domain. Also, it proposes a framework for IoT adoption in the case sector. A systematic literature review was conducted with a methodology that focused on scientific articles authored in the English language that were published in peer-reviewed journals in the last five years.

ECG Paper Record Digitization and Diagnosis Using Deep Learning.

Purpose: Electrocardiogram (ECG) is one of the most essential tools for detecting heart problems. Till today most of the ECG records are available in paper form. It can be challenging and time-consuming to manually assess the ECG paper records.

Chest X-ray Classification Using Deep Learning for Automated COVID-19 Screening.

Unlabelled: In today's world, we find ourselves struggling to fight one of the worst pandemics in the history of humanity known as COVID-2019 caused by a coronavirus. When the virus reaches the lungs, we observe ground-glass opacity in the chest X-ray due to fibrosis in the lungs. Due to the significant differences between X-ray images of an infected and non-infected person, artificial intelligence techniques can be used to identify the presence and severity of the infection.

A statistical and deep learning-based daily infected count prediction system for the coronavirus pandemic.

Unlabelled: We present new data analytics-based predictions results that can help governments to plan their future actions and also help medical services to be better prepared for the future. Our system can predict new corona cases with 99.82% accuracy using susceptible infected recovered (SIR) model.

Diagnosis of COVID-19 using CT scan images and deep learning techniques.

Early diagnosis of the coronavirus disease in 2019 (COVID-19) is essential for controlling this pandemic. COVID-19 has been spreading rapidly all over the world. There is no vaccine available for this virus yet.

Outbreak Prediction of COVID-19 for Dense and Populated Countries Using Machine Learning.

The Coronavirus Disease-2019 (COVID-19) pandemic persists to have a mortifying impact on the health and well-being of the global population. A continued rise in the number of patients testing positive for COVID-19 has created a lot of stress on governing bodies across the globe and they are finding it difficult to tackle the situation. We have developed an outbreak prediction system for COVID-19 for the top 10 highly and densely populated countries.

Review on electromyography signal acquisition and processing.

Electromyography (EMG) is a technique for recording biomedical electrical signals obtained from the neuromuscular activities. These signals are used to monitor medical abnormalities and activation levels, and also to analyze the biomechanics of any animal movements. In this article, we provide a short review of EMG signal acquisition and processing techniques.

Framework for the implementation of an Internet of Things (IoT)-based water distribution and management system.

Abstract: This study aims to identify issues plaguing rural India's water supply chain and present a general methodology for the implementation of an IoT-based water distribution and management system in a rural setting. Through the literature review, significant hurdles in the water supply chain of rural India, as well as the potential role of IoT in water supply chain management, were recognized. An implementation plan was proposed to design an IoT-based water distribution and management system with the help of flow meters, ultrasonic sensors, motors, etc.

A Nuclear Magnetic Resonance (NMR) Platform for Real-Time Metabolic Monitoring of Bioprocesses.

We present a Nuclear Magnetic Resonance (NMR) compatible platform for the automated real-time monitoring of biochemical reactions using a flow shuttling configuration. This platform requires a working sample volume of ∼11 mL and it can circulate samples with a flow rate of 28 mL/min., which makes it suitable to be used for real-time monitoring of biochemical reactions.

Applications of industry 4.0 to overcome the COVID-19 operational challenges.

Background And Aims: An epidemic outbreak of COVID-19 has increased the demand for medical equipment, medical accessories along with daily essentials for the safety of healthcare workers. This study aims to identify the operational challenges faced by retailers in providing efficient services. The study also aimed to propose the roadmap of Industry 4.

A Review of Smart Technologies Embedded in Shoes.

Technological advancements in wearable devices have revolutionized smart shoes. Smart shoes are sometimes referred to as intelligent shoes or computer-based shoes. They are capable of recognizing and recording data from day-to-day activities by the user.

OCT angiography fractal analysis-based quantification of macular vascular density in branch retinal vein occlusion eyes.

Objective: To compare the macular vascular density in branch retinal vein occlusion (BRVO) versus normals on optical coherence tomography angiography (OCTA) using fractal analysis and to describe the factors bearing on final visual outcomes.

Participants: This study is a retrospective observational comparative case series. Diagnosed cases of unilateral BRVO that underwent treatment and resolved were included.