A review article in Sensors outlines how wearable and portable devices are transforming sports biomechanics and training science. The studies reviewed demonstrate how these devices enable real-time data collection in natural settings, providing valuable insights for athletes and coaches.
Researchers have introduced a cutting-edge system that merges wearable ECG sensors with machine learning to enable real-time monitoring and early detection of cardiorespiratory problems. Utilizing convolutional neural networks, this innovative approach promises to enhance patient care through timely insights and proactive intervention.
Researchers in Turkey have developed a real-time sign language recognition (SLR) system using wearable sensors, as detailed in the journal Sensors. Combining surface electromyography (sEMG) and inertial measurement units (IMUs), the system translates sign language into text or speech, achieving a high accuracy rate and promising to improve communication for those with hearing impairments.
A study in Nature Medicine examined the use of consumer wearable devices for monitoring heart rate control in older patients with permanent atrial fibrillation and heart failure. The RATE-AF trial found similar heart rate control between digoxin and beta-blocker treatments, demonstrating the potential of wearable technology for continuous patient monitoring and management.
A new study details a groundbreaking imperceptible sweat sensor made from Ultra-High Molecular Weight Polyethylene (UHMWPE) nanomembranes. This advanced sensor provides accurate and comfortable monitoring of health signals, showcasing significant potential for personalized and wearable health technologies.
Researchers in China developed an advanced acoustic microfluidic chip using focused traveling surface acoustic waves (FTSAWs) to significantly enhance biosensing sensitivity and speed. This innovative approach addresses the limitations of traditional biosensors by enabling rapid and efficient enrichment of target molecules, achieving high detection precision and speed for applications in clinical diagnostics and scientific research.
Researchers in Kazakhstan have developed a label-free optical fiber biosensor to detect CD44-expressing breast cancer cells, a crucial biomarker for cancer progression. This innovative sensor offers a rapid, sensitive, and specific method for early cancer detection, potentially enhancing diagnosis and treatment strategies.
Researchers in Greece developed a wearable system using five inertial measurement units (IMUs) on the waist, arms, and legs to monitor vital signs during sleep, particularly in individuals with sleep-disordered breathing (SDB). The system demonstrated high accuracy and reliability in estimating respiratory and heart rates compared to traditional polysomnography.
This study utilized wearable sensors to analyze gait in Parkinson's disease (PD) patients, identifying significant gait biomarkers for early diagnosis, subtype differentiation, and disease severity monitoring. The results highlight the potential of AI-based gait evaluation systems to enhance personalized treatment strategies for PD patients.
Published in Scientific Reports, this study introduces a novel surface plasmon resonance (SPR) biosensor employing laccase as a recognition element for direct dopamine detection. Laccase's immobilization on a carboxymethyldextran (CMD) chip via amine coupling ensures specificity and enables easy biosensor regeneration.
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