Textile-based Low-frequency RC Filter for Noise Reduction in ECG signals.

Advancements in electronic textiles over the past decade have significantly transformed the field of wearable technology, with recent developments leading to the production of a wide array of textile-based sensing and actuation systems. Beyond sensors and actuators, textile-based technologies can benefit from the integration of additional electronic solutions within the framework of textilization. One such solution is filtering, which has primarily been explored in the context of high-frequency applications in e-textiles.

Improved BCI calibration in multimodal emotion recognition using heterogeneous adversarial transfer learning.

The use of brain-computer interface (BCI) technology to identify emotional states has gained significant interest, especially with the rise of virtual reality (VR) applications. However, the extensive calibration required for precise emotion recognition models presents a significant challenge, particularly for sensitive groups such as children, elderly, and patients. This study presents a novel approach that utilizes heterogeneous adversarial transfer learning (HATL) to synthesize electroencephalography (EEG) data from various other signal modalities, reducing the need for lengthy calibration phases.

Analytical prediction of genetic contribution across multiple recurrent backcrossing generations.

We derive formulas for the residual donor genome content during trait introgression via recurrent backcrossing and use these formulas to predict (without simulation) residual donor genome content for five future generations. Trait introgression is a common method for introducing valuable genes or alleles into breeding populations and inbred cultivars. The particular breeding scheme is usually designed to maximize the genetic similarity of the converted lines to the recurrent parent while minimizing cost and time to recover the near isogenic lines.

Reduction of Dental Anxiety in Children Using Virtual Reality: A Randomised Controlled Trial.

Aim: The aim of this research is examining the effectiveness of Virtual Reality (VR) in the reduction of dental anxiety in children with novel methods.

Methods: The three arm parallel-group randomised clinical study was conducted in children aged 6-10 years. Pulpotomy procedure was performed on randomised 90 selected children (n=30 in each group; AG: group applied active distraction using VR glasses, PG: group applied passive distraction, i.

Electromyographic analysis of the traditional and spin throwing techniques for goalball games related to ball velocity for selected upper extremity muscles.

Background: Goalball is a popular sport among visually impaired individuals, offering many physical and social benefits. Evaluating performance in Goalball, particularly understanding factors influencing ball velocity during throwing techniques, is essential for optimizing training programs and enhancing player performance. However, there is limited research on muscle activation patterns during Goalball throwing movements, needing further investigation to address this gap.