Evaluation and Refinement of Elbow Recovery in Sports Medicine Using Smart Tracking Technologies DOI Creative Commons
Sergio Alonso-Rollán, Sergio Márquez-Sánchez, Albano Carrera

et al.

ADCAIJ ADVANCES IN DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE JOURNAL, Journal Year: 2024, Volume and Issue: 13, P. e31939 - e31939

Published: Dec. 31, 2024

Elbow injuries, prevalent in various sports, significantly impact an athlete’s performance and career longevity. Traditional rehabilitation methods, while effective to a degree, often miss the mark terms of precision personalised care. This gap necessitates shift towards more sophisticated strategies. study introduces pioneering approach elbow rehabilitation, utilising cutting-edge wearable tracking technologies along with telerehabilitation paradigm. The focus is on increasing efficacy processes. We developed state-of-the-art device, equipped sensors, accurately track joint movements, including position, rotation, flexion, real-time. device provides detailed data, allowing for nuanced diagnosis monitoring during phases. data integrated into specialised application, enabling comprehensive analysis formulation plans real-time feedback. demonstrated notable improvement effectiveness strategies, measurement range motion (RoM) within error ±3 degrees. A comparative traditional methods revealed significant advancements accuracy, adherence prescribed regimens, overall speed recovery.

Language: Английский

Navigating the Frontier: Emerging Techniques for Detecting Microvascular Complications in Type 2 Diabetes Mellitus: A Comprehensive Review DOI Open Access

Sarang S Raut,

Sourya Acharya,

Vinit Deolikar

et al.

Cureus, Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 31, 2024

This review comprehensively explores emerging techniques for detecting microvascular complications in Type 2 Diabetes Mellitus (T2DM), addressing the critical need advancements early detection and management. As T2DM continues to rise globally, complications, including retinopathy, nephropathy, neuropathy, contribute significantly morbidity mortality associated with condition. The synthesizes key findings, revealing various technologies, from advanced imaging modalities genomic proteomic approaches. It underscores potential personalized medicine, emphasizing importance of tailoring diagnostic strategies individual patient profiles. Challenges, lack standardized criteria issues related adherence, highlight necessity collaborative efforts. conclusion a call action, advocating enhanced collaboration, increased research investment, empowerment through education, seamless integration into routine clinical care. envisions transformative shift managing T2DM, ultimately improving outcomes contributing healthier future individuals affected by this prevalent metabolic disorder.

Language: Английский

Citations

6

AI-Reinforced Wearable Sensors and Intelligent Point-of-Care Tests DOI Open Access

Ghita Yammouri,

Abdellatif Ait Lahcen

Journal of Personalized Medicine, Journal Year: 2024, Volume and Issue: 14(11), P. 1088 - 1088

Published: Nov. 1, 2024

Artificial intelligence (AI) techniques offer great potential to advance point-of-care testing (POCT) and wearable sensors for personalized medicine applications. This review explores the recent advances transformative of use AI in improving wearables POCT. The integration significantly contributes empowering these tools enables continuous monitoring, real-time analysis, rapid diagnostics, thus enhancing patient outcomes healthcare efficiency. Wearable powered by models tremendous opportunities precise non-invasive tracking physiological conditions that are essential early disease detection treatments. AI-empowered POCT facilitates rapid, accurate making medical kits accessible available even resource-limited settings. discusses key applications data processing, sensor fusion, multivariate analytics, highlighting case examples exhibit their impact different scenarios. In addition, challenges associated with privacy, regulatory approvals, technology integrations into existing system have been overviewed. outlook emphasizes urgent need continued innovation AI-driven health technologies overcome fully achieve revolutionize medicine.

Language: Английский

Citations

5

Biosensors integrated within wearable devices for monitoring chronic wound status DOI Creative Commons
Sabine Szunerits, Rabah Boukherroub, Christoph Kleber

et al.

APL Bioengineering, Journal Year: 2025, Volume and Issue: 9(1)

Published: Feb. 4, 2025

Slowly healing wounds significantly affect the life quality of patients in different ways, due to constant pain, unpleasant odor, reduced mobility up social isolation, and personal frustration. While remote wound management has become more widely accepted since COVID-19 pandemic, delayed treatment remains frequent results several related complications. As inappropriate notably diabetic foot ulcers is linked a high risk amputation, effective patient-centered manner important be implemented. The integration diagnostic devices into bandages under way, owing advancements materials science nanofabrication strategies as well innovation communication technologies together with machine learning data-driven assessment tools. Leveraging advanced analytical approaches around local pH, temperature, pressure, biomarker sensing expected facilitate adequate treatment. state-of-the-art time-resolved monitoring status by quantifying key physiological parameters biomarkers' concentration presented herewith. A special focus will given smart on-demand delivery capabilities for improved management.

Language: Английский

Citations

0

Catheter-Free Urodynamics Testing: Current Insights and Clinical Potential DOI Creative Commons
Benoît Vogt

Research and Reports in Urology, Journal Year: 2024, Volume and Issue: Volume 16, P. 1 - 17

Published: Jan. 1, 2024

Abstract: Lower urinary tract dysfunction not only interferes with the health-related quality of life patients but may also lead to acute kidney injury and infections. To assess bladder, urodynamic studies (UDS) have been implemented use catheters leads discomfort for patient. Catheter-free long-term UDS would be useful a potential solution could ambulatory wireless devices that communicate via telemetry. Such sensors can detect pressure or volume. Numerous types catheter-free proposed bladder monitoring. Despite substantial innovation in manufacturing implantable biomedical electronic systems, such remained at laboratory stage due number critical challenges. These challenges primarily concern hermeticity biocompatibility, sensitivity artifacts, drift, telemetry, energy management. Having overcome these challenges, monitoring combine synchronized intravesical sensor volume analyzer steps cystometry measurement are currently sufficiently reproducible simulate results. The by infrared optical sensors, form abdominal patches, appears promising underway market telemetric system includes an sensor. There has considerable progress wearable conformable electronics on many fronts, continued collaboration between engineers urologists quickly current In addition, diagnosis UDS, development closed-loop neuromodulation system. this review, we explore various inherent solutions clinical sensors. Keywords: studies, monitoring, devices,

Language: Английский

Citations

2

Self-supported flexible organic electrochemical synaptic transistors on self-healing composite electrolyte membranes DOI Creative Commons
Haoran Yu, Yunchao Xu,

Zhonghui Deng

et al.

Applied Physics Letters, Journal Year: 2024, Volume and Issue: 124(17)

Published: April 22, 2024

A variety of organic electrochemical transistors have been recently developed; however, their self-healing performance has largely ignored. In this study, we propose the use a lithium-ion composite electrolyte membrane as dielectric layer and poly(3-hexylthiophene) (P3HT) channel to fabricate flexible self-supporting synaptic transistors. behaviors were emulated within proposed By leveraging features polymer electrolytes, along with cross-linking reactions low-resistance transmission, device maintained its electrical performance. Testing involving different curvatures also revealed device's potential for in electronics. Significantly, due ability, consistent dataset recognition rates sustained. This work highlights vast prospects field wearable

Language: Английский

Citations

2

Evaluation and Refinement of Elbow Recovery in Sports Medicine Using Smart Tracking Technologies DOI Creative Commons
Sergio Alonso-Rollán, Sergio Márquez-Sánchez, Albano Carrera

et al.

ADCAIJ ADVANCES IN DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE JOURNAL, Journal Year: 2024, Volume and Issue: 13, P. e31939 - e31939

Published: Dec. 31, 2024

Elbow injuries, prevalent in various sports, significantly impact an athlete’s performance and career longevity. Traditional rehabilitation methods, while effective to a degree, often miss the mark terms of precision personalised care. This gap necessitates shift towards more sophisticated strategies. study introduces pioneering approach elbow rehabilitation, utilising cutting-edge wearable tracking technologies along with telerehabilitation paradigm. The focus is on increasing efficacy processes. We developed state-of-the-art device, equipped sensors, accurately track joint movements, including position, rotation, flexion, real-time. device provides detailed data, allowing for nuanced diagnosis monitoring during phases. data integrated into specialised application, enabling comprehensive analysis formulation plans real-time feedback. demonstrated notable improvement effectiveness strategies, measurement range motion (RoM) within error ±3 degrees. A comparative traditional methods revealed significant advancements accuracy, adherence prescribed regimens, overall speed recovery.

Language: Английский

Citations

0