Enhancing gait cadence through rhythm-modulated music: A study on healthy adults.

Background And Objective: Gait disorders stemming from brain lesions or chemical imbalances, pose significant challenges for patients. Proposed treatments encompass medication, deep brain stimulation, physiotherapy, and visual stimulation. Music, with its harmonious structures, serves as a continuous reference, synchronizing muscle activities through neural connections between hearing and motor functions, can show promise in gait disorder management.

Balance rehabilitation for patients with Multiple Sclerosis using a Kinect®-based virtual training program.

Background: Patients with multiple sclerosis (MS) often experience balance issues during physical activities. Traditional rehabilitation exercises such as stretching, resistance, and aerobic training have been found to be effective, but can be repetitive and tedious, leading to reduced patient motivation and adherence. Furthermore, direct supervision by a therapist is not always possible.

Virtual Reality, Fear of Pain and Labor Pain Intensity: A Randomized Controlled Trial.

Background: Labor and delivery are physiological conditions that occur due to the contraction of the smooth muscles of the uterus. Labor pain is one of the most severe pains that anyone can experience, and its control is one of the most important goals of health care.

Methods: This study was performed on 130 healthy pregnant women who had gestational ages of 37 to 40 weeks and were randomly assigned to the intervention and control groups using the closed envelope technique.

General tau theory as a model to evaluate audiovisual interplay in interceptive actions.

When interacting with the environment, sensory information is essential to guide movements. Picking up the appropriate sensory information (both visual and auditory) about the progression of an event is required to reach the right place at the right time. In this study, we aimed to see if general tau theory could explain the audiovisual guidance of movement in interceptive action (an interception task).

Bone Age Assessment of Iranian Children in an Automatic Manner.

Background: Bone age assessment (BAA) is a radiological process with the aim of identifying growth disorders in children. The objective of this study is to assess the bone age of Iranian children in an automatic manner.

Methods: In this context, three computer vision techniques including histogram of oriented gradients (HOG), local binary pattern (LBP), and scale-invariant feature transform (SIFT) are applied to extract appropriate features from the carpal and epiphyseal regions of interest.