An alternative focus on data in the neurorights discussion – Lessons from Brazil DOI
Stephen Rainey, Pedro Dalese

Bioethics Open Research, Journal Year: 2023, Volume and Issue: 1, P. 3 - 3

Published: Aug. 10, 2023

Developments in neurotechnology are prompting concerns about the concepts of mental privacy, integrity, and cognitive liberty, among others. Many researchers some policymakers have begun to propose that novel human rights required meet challenges emerging poses. These proposals seen high-profile discussion, gaining already state-level recognition Chile. Others advocate a different approach by concentrating on data protection. This brief recommends this kind focus order (i) help regulate pace development (ii) respect potential for risks individuals permitting them greater control over how their neurodata is used. A data-centred an agile means providing legal ethical protection direction toward producing positive impacts. also refers legislative change Brazil, contrasted with Chile, where law be revised pre-empt neurotechnological issues. The Brazilian model emerges as alternative ought replicated other lawmakers globally.

Language: Английский

The Intersection of Artificial Intelligence, Telemedicine, and Neurophysiology DOI
Diana Tavares, Ana Isabel Lopes, Catarina Castro

et al.

Advances in medical education, research, and ethics (AMERE) book series, Journal Year: 2023, Volume and Issue: unknown, P. 130 - 152

Published: March 13, 2023

The technical-scientific area of neurophysiology has seen significant advancements in recent years, with the introduction new technologies aimed at improving diagnosis, treatment, and management neurological conditions. However, these resulted repercussions terms specificity sensitivity, diagnostic accuracy, prognosis more specific situations, particularly integration artificial intelligence (AI) telemedicine. In this chapter, authors aim to explore current state examine role AI telemedicine addressing challenges faced by field. will delve into potential benefits limitations their impact on patient outcomes, healthcare delivery, future neurophysiology. chapter's goal is provide a comprehensive overview potentialities neurophysiology, highlighting significance advancing field care.

Language: Английский

Citations

26
Brain Waste Removal System and Sleep: Photobiomodulation as an Innovative Strategy for Night Therapy of Brain Diseases DOI Open Access

Oxana Semyachkina-Glushkovskaya,

Ivan V. Fedosov, Thomas Penzel

et al.

International Journal of Molecular Sciences, Journal Year: 2023, Volume and Issue: 24(4), P. 3221 - 3221

Published: Feb. 6, 2023

Emerging evidence suggests that an important function of the sleeping brain is removal wastes and toxins from central nervous system (CNS) due to activation waste (BWRS). The meningeal lymphatic vessels (MLVs) are part BWRS. A decrease in MLV associated with Alzheimer’s Parkinson’s diseases, intracranial hemorrhages, tumors trauma. Since BWRS activated during sleep, a new idea now being actively discussed scientific community: night stimulation might be innovative promising strategy for neurorehabilitation medicine. This review highlights trends photobiomodulation BWRS/MLVs deep sleep as breakthrough technology effective unnecessary compounds order increase neuroprotection CNS well prevent or delay various diseases.

Language: Английский

Citations

23
Sleep assessment using EEG-based wearables – A systematic review DOI Creative Commons
C.J. de Gans, P. C. Burger, Eva S. van den Ende

et al.

Sleep Medicine Reviews, Journal Year: 2024, Volume and Issue: 76, P. 101951 - 101951

Published: May 7, 2024

Polysomnography (PSG) is the reference standard of sleep measurement, but burdensome for participant and labor intensive. Affordable electroencephalography (EEG)-based wearables are easy to use gaining popularity, yet selecting most suitable device a challenge clinicians researchers. In this systematic review, we aim provide comprehensive overview available EEG-based measure human sleep. For each wearable, an will be provided regarding validated population reported measurement properties. A search was conducted in databases OVID MEDLINE, Embase.com CINAHL. machine learning algorithm (ASReview) utilized screen titles abstracts eligibility. total, 60 papers were selected, covering 34 unique wearables. Feasibility studies indicated good tolerance, high compliance, success rates. The 42 included validation across diverse populations showed consistently accuracy staging detection. Therefore, recent advancements show great promise as alternative PSG at-home monitoring. Users should consider factors like user-friendliness, comfort, costs, these devices vary features pricing, impacting their suitability individual needs.

Language: Английский

Citations

13
Examining the Landscape of Cognitive Fatigue Detection: A Comprehensive Survey DOI Creative Commons
Enamul Karim, Hamza Reza Pavel, Sama Nikanfar

et al.

Technologies, Journal Year: 2024, Volume and Issue: 12(3), P. 38 - 38

Published: March 11, 2024

Cognitive fatigue, a state of reduced mental capacity arising from prolonged cognitive activity, poses significant challenges in various domains, road safety to workplace productivity. Accurately detecting and mitigating fatigue is crucial for ensuring optimal performance minimizing potential risks. This paper presents comprehensive survey the current landscape detection. We systematically review approaches, encompassing physiological, behavioral, performance-based measures, robust objective The further analyzes different challenges, including lack standardized ground truth need context-aware assessment. aims serve as valuable resource researchers practitioners seeking understand address multifaceted challenge

Language: Английский

Citations

9
Recent Progress in Long-Term Sleep Monitoring Technology DOI Creative Commons

Jiaju Yin,

Jiandong Xu, Tian‐Ling Ren

et al.

Biosensors, Journal Year: 2023, Volume and Issue: 13(3), P. 395 - 395

Published: March 17, 2023

Sleep is an essential physiological activity, accounting for about one-third of our lives, which significantly impacts memory, mood, health, and children’s growth. Especially after the COVID-19 epidemic, sleep health issues have attracted more attention. In recent years, with development wearable electronic devices, there been studies, products, or solutions related to monitoring. Many mature technologies, such as polysomnography, applied clinical practice. However, it urgent develop non-contacting devices suitable household continuous This paper first introduces basic knowledge significance Then, according types signals monitored, this describes research progress bioelectrical signals, biomechanical biochemical used not ideal monitor quality whole night based on only one signal. Therefore, reviews multi-signal monitoring systematic schemes. Finally, a conclusion discussion are presented propose potential future directions prospects

Language: Английский

Citations

16
The past, present, and future of sleep quality assessment and monitoring DOI
Yanyan Chen,

Enyuan Zhou,

Yu Wang

et al.

Brain Research, Journal Year: 2023, Volume and Issue: 1810, P. 148333 - 148333

Published: March 15, 2023

Language: Английский

Citations

11
A Review on Automated Sleep Study DOI

Mehran Yazdi,

Mahdi Samaee,

Daniel Massicotte

et al.

Annals of Biomedical Engineering, Journal Year: 2024, Volume and Issue: 52(6), P. 1463 - 1491

Published: March 16, 2024

Language: Английский

Citations

4
A scoping review of the effect of chronic stretch training on sleep quality in people with sleep disorders DOI Creative Commons
Mohammad Alimoradi, Elham Hosseini, Andreas Konrad

et al.

European Journal of Applied Physiology, Journal Year: 2024, Volume and Issue: 124(9), P. 2533 - 2545

Published: June 26, 2024

Abstract Purpose The widespread and health-detrimental sleep disorders have resulted in stretching exercises being investigated as a non-drug solution for enhanced quality. However, comprehensive understanding of the impact on individuals with is lacking. Methods This scoping review systematically maps existing literature identifies research gaps quality disorders. Results Sixteen eligible studies were included, where weighted mean changes indicate positive trend improvement, ranging from trivial to very large magnitudes. concerning individual study results only 5 out 16 reported significant improvements. Notable enhancements include small 1.22% overall 6.51% reduction insomnia severity, 8.88% increase efficiency, moderate 4.36% decrease onset latency, 8.27% wake after onset, 14.70% improvement total time. Trivial are noted duration (0.58%), disturbance (0.07%), daytime dysfunction (0.19%). Likely mechanisms autonomic nervous system modulation, muscle tension relief, cortisol regulation, blood circulation, psychological benefits such stress mood enhancement. Conclusion There little evidence that positively Additionally, further vital designing optimal protocols, long-term effects, clarification mechanisms.

Language: Английский

Citations

4
Avances en la detección temprana del síndrome de apnea obstructiva del sueño: aplicación integrativa de tecnologías de inteligencia artificial DOI
Fernando Ramos

Deleted Journal, Journal Year: 2025, Volume and Issue: 48(2), P. 94 - 97

Published: Jan. 1, 2025

Citations

0
Transforming Sleep Monitoring: Review of Wearable and Remote Devices Advancing Home Polysomnography and Their Role in Predicting Neurological Disorders DOI Creative Commons
Diana Vitazkova, Helena Svobodová,

Daniela Turonova

et al.

Biosensors, Journal Year: 2025, Volume and Issue: 15(2), P. 117 - 117

Published: Feb. 17, 2025

This paper explores the progressive era of sleep monitoring, focusing on wearable and remote devices contributing to advances in concept home polysomnography. We begin by exploring basic physiology sleep, establishing a theoretical basis for understanding stages associated changes physiological variables. The review then moves an analysis specific cutting-edge technologies, with emphasis their practical applications, user comfort, accuracy. Attention is also given ability these predict neurological disorders, particularly Alzheimer's Parkinson's disease. highlights integration hardware innovations, targeted parameters, partially advanced algorithms, illustrating how elements converge provide reliable health information. By bridging gap between clinical diagnosis real-world applicability, this aims elucidate role modern monitoring tools improving personalised healthcare proactive disease management.

Language: Английский

Citations

0