Science Bulletin, Journal Year: 2024, Volume and Issue: unknown
Published: Dec. 1, 2024
Language: Английский
Advanced Functional Materials, Journal Year: 2024, Volume and Issue: unknown
Published: June 16, 2024
Abstract The measurement accuracy of current wearable pulse sensors is grandly challenged by motion artifacts caused body biomechanical activities. In this study, a honeycomb‐structure‐inspired sensor reported which not only performs ambulant cardiovascular monitoring but also realizes biometric authentication utilizing the acquired individual wave profiles. showcases an impressive sensitivity 46.2 mV Pa −1 , swift response time 21 ms, and exceptional durability (minimal degradation after 6000 cycles). For practical application in clinical settings, able to record signals continuously accurately from individuals aged between 27 57 years, especially including 29‐year‐old pregnant woman. Leveraging deep learning algorithms, further utilizes profiles for authentication, reaching classification up 99.4%. marks significant advancement field authentication.
Language: Английский
Citations
16
Nano Research, Journal Year: 2024, Volume and Issue: 17(10), P. 8926 - 8941
Published: June 20, 2024
Language: Английский
Citations
9
Journal of Materials Chemistry A, Journal Year: 2024, Volume and Issue: unknown
Published: Jan. 1, 2024
This review examines the integration of artificial intelligence with nanogenerators to develop self-powered, adaptive systems for applications in robotics, wearables, and environmental monitoring.
Language: Английский
Citations
7
Nano Trends, Journal Year: 2024, Volume and Issue: 7, P. 100042 - 100042
Published: June 18, 2024
Piezoelectricity has emerged as a pivotal platform technology in bioengineering to advance cardiac healthcare. Unlike common pacemakers, these devices capitalize on the mechanical energy derived from movements power themselves, presenting sustainable alternative battery constraints faced by current implantable devices. This review explores advances piezoelectric nanogenerators for monitoring and therapy, highlighting their capabilities not only track activity, but also provide therapeutic interventions reliable pacemakers. It discusses electric stimulation effects biocompatible integration with human biology, positioning at forefront of healthcare solutions, thereby enhancing effectiveness, durability, personalized care.
Language: Английский
Citations
5
IGI Global eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 261 - 290
Published: Feb. 5, 2025
The purpose of this book chapter is to investigate how a (NSGA-II) multi-objective genetic algorithm might be utilized optimize the execution an Internet Things (IoT) temperature monitoring Box-Type Solar Cooker (BTSC). To determine best set output parameters for IoT box-type solar cooker, are used perform optimizations Figureure merits (F2), cooking power, cooker efficiency, and final water temperature. present research work involved development Wi-Fi module system integrated with smart BTSC. We compare values response variables that were gathered experimentally predicted by NSGA-II. found quite close experimental values. This indicates optimization method, as in study, has very good prediction performance. According findings experiment, at which pot remained stagnant on average was 158°C. It determined class A based first merit (F1), second power (P), respectively 0.132, 0.359, 86.108 W. Therefore, thermal efficiency IoT-base box type 39.99%. Optimize performance IoT-based BTSC providing real-time data visualization, ultimately improving their reliability. provides educational tool promote awareness understanding renewable energy sources potential benefits.
Language: Английский
Citations
0
Nature Reviews Cardiology, Journal Year: 2025, Volume and Issue: unknown
Published: March 3, 2025
Language: Английский
Citations
0
Brain‐X, Journal Year: 2025, Volume and Issue: 3(1)
Published: March 1, 2025
Abstract Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disease that often results in the loss of speech, creating significant communication barriers. Brain–computer interfaces (BCIs) provide transformative solution for restoring and enhancing quality life ALS individuals. Recent advances implantable electrocorticographic systems have demonstrated feasibility synthesizing intelligible speech directly from neural activity. By recording high‐resolution signals motor, premotor, somatosensory cortices with decoding algorithms, these can transform patterns into acoustic features providing natural intuitive pathways Non‐invasive electroencephalography, while lacking spatial resolution systems, offers safer alternative high temporal capturing speech‐related dynamics. When combined robust feature extraction techniques, such as common pattern time‐frequency analyses, well multimodal integration functional near‐infrared spectroscopy or electromyography, it effectively enhances accuracy system robustness. Despite progress, challenges remain, including user variability, BCI illiteracy, impact fatigue on performance. Personalized models, adaptive secure frameworks brain data privacy are essential addressing limitations, enabling BCIs to enhance accessibility reliability. Advancing technologies methodologies holds immense promise independence bridging gap individuals ALS. Future research could focus long‐term clinical studies evaluate stability effectiveness development more unobtrusive paradigms.
Language: Английский
Citations
0
Med-X, Journal Year: 2025, Volume and Issue: 3(1)
Published: April 2, 2025
Language: Английский
Citations
0
BMEMat, Journal Year: 2024, Volume and Issue: 2(3)
Published: Aug. 16, 2024
Abstract Cephalofurimazine (CFz), when paired with Antares luciferase, shows superior blood‐brain barrier permeability and enhanced imaging depth clarity for deep brain imaging. This bioluminescence provides a less invasive method real‐time monitoring of activity, the potential to advance targeted therapies deepen our understanding functions. Further molecular engineering localized delivery can reduce toxicity CFz enhance its efficacy clinical
Language: Английский
Citations
1
Bioengineering, Journal Year: 2024, Volume and Issue: 11(12), P. 1251 - 1251
Published: Dec. 10, 2024
Anxiety is a widespread mental health issue, and binaural beats have been explored as potential non-invasive treatment. EEG data reveal changes in neural oscillation connectivity linked to anxiety reduction; however, harmonics introduced during signal acquisition processing often distort these findings. Existing methods struggle effectively reduce capture the fine-grained temporal dynamics of signals, leading inaccurate feature extraction. Hence, novel Denoised Harmonic Subtraction Transient Temporal Feature Extraction proposed improve analysis impact on levels. Initially, Wiener Fused Convo Filter spatial features eliminate linear noise signals. Next, an Intrinsic Network employed, utilizing Attentive Weighted Least Mean Square (AW-LMS) algorithm nonlinear summation resonant coupling effects, eliminating misinterpretation brain rhythms. To address challenge dynamics, Embedded Transfo XL Recurrent detect extract relevant parameters associated with transient events data. Finally, undergo harmonic reduction extraction before classification cross-correlated Markov Deep Q-Network (DQN). This facilitates level into normal, mild, moderate, severe categories. The model demonstrated high accuracy 95.6%, precision 90%, sensitivity 93.2%, specificity 96% classifying levels, outperforming previous models. integrated approach enhances processing, enabling reliable offering valuable insights for therapeutic interventions.
Language: Английский
Citations
0