Academic literature on the topic 'Wearable neurotechnology'

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Journal articles on the topic "Wearable neurotechnology"

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Kumari, Renu. "Enhancing Productivity and Safety in Manufacturing Through Neurotechnology." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 01 (2025): 1–9. https://doi.org/10.55041/ijsrem40683.

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The industrial industry is always changing, looking for ways to improve safety and productivity. Innovative answers to these problems are provided by neurotechnology, which combines technology and neuroscience. This study examines how neurotechnology might improve human performance and safety procedures in manufacturing, with a particular emphasis on wearable neurodevices, cognitive load monitoring, and brain computer interfaces (BCIs). The survey also emphasises how prepared the Indian industrial industry is to implement these technologies. We analyse data gathered from workers and industry s
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Toneva, Mariya, Tom M. Mitchell, and Leila Wehbe. "Combining computational controls with natural text reveals aspects of meaning composition." Nature Computational Science 2, no. 11 (2022): 745–57. https://doi.org/10.1038/s43588-022-00354-6.

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To study a core component of human intelligence—our ability to combine the meaning of words—neuroscientists have looked to linguistics. However, linguistic theories are insufficient to account for all brain responses reflecting linguistic composition. In contrast, we adopt a data-driven approach to study the composed meaning of words beyond their individual meaning, which we term ‘supra-word meaning’. We construct a computational representation for supra-word meaning and study its brain basis through brain recordings from two complementary imaging modalities. Using func
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Torres Díaz, Cristina V., Marta Navas García, Paloma Pulido Rivas, Mónica Lara Almunia, and José Antonio Fernández Alén. "Shaping the Future of Psychiatric Neurosurgery: From Connectomic Precision to Technological Integration." Brain Sciences 15, no. 6 (2025): 647. https://doi.org/10.3390/brainsci15060647.

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Psychiatric neurosurgery is undergoing a profound transformation, propelled by advances in neurotechnology, connectomics, and personalized medicine. Once controversial, surgical interventions are now guided by detailed functional brain mapping and precise neuromodulation techniques, such as deep brain stimulation (DBS), which offer therapeutic options for patients with severe, treatment-resistant psychiatric disorders. This manuscript reviews the current techniques, including lesion-based procedures and DBS, and explores their mechanisms of action, from synaptic plasticity to large-scale netwo
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Simons, Stephen, Maria Provo, and Renee Shimizu. "0431 Transcranial Electrical Stimulation with a Wearable Device Dramatically Reduces Sleep Onset Latency in Insomnia." SLEEP 47, Supplement_1 (2024): A185. http://dx.doi.org/10.1093/sleep/zsae067.0431.

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Abstract Introduction The normal transition to sleep is characterized by a reduction in higher frequency activity and an increase in lower frequency activity in frontal brain regions. In sleep onset insomnia these changes in activity are weaker and may prolong the transition to sleep. We performed a translational study to investigate the impact of a new wearable neurotechnology using 0.75 Hz transcranial electrical stimulation (tES) to improve sleep outcomes in a population displaying symptoms of sleep onset insomnia. Methods Participants were enrolled based on a qualifying insomnia severity i
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Caswell, Keenan, Grace Roe, Emamoke Odafe, Subodh Arora, Caddie Motoni, and John Kent Werner. "Wearable Neurotechnology for the Treatment of Insomnia: The Study Protocol of a Prospective, Placebo-Controlled, Double-Blind, Crossover Clinical Trial of a Transcranial Electrical Stimulation Device." Clocks & Sleep 7, no. 1 (2025): 3. https://doi.org/10.3390/clockssleep7010003.

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Sleep disruption and deprivation are epidemic problems in the United States, even among those without a clinically diagnosed sleep disorder. Military service members demonstrate an increased risk of insomnia, which doubles after deployment. This study will investigate the ability of a translational device, Teledyne PeakSleep™ (Teledyne Scientific & Imaging, Durham, NC, USA), to reduce sleep onset latency and the time spent awake after sleep onset, with improvement in the subjective benefits of sleep for patients with insomnia by enhancing the brain rhythms within the frontal lobe implicate
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du Bois, N., A. D. Bigirimana, A. Korik, et al. "Electroencephalography and psychological assessment datasets to determine the efficacy of a low-cost, wearable neurotechnology intervention for reducing Post-Traumatic Stress Disorder symptom severity." Data in Brief 42 (June 2022): 108066. http://dx.doi.org/10.1016/j.dib.2022.108066.

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Mahalakshmi, Talluri. "Brain-Computer Interfaces: An Evolution in Neurotechnology." International Journal for Research in Applied Science and Engineering Technology 13, no. 5 (2025): 4035–44. https://doi.org/10.22214/ijraset.2025.71124.

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Brain-Computer Interfaces (BCIs) are a rapidly developing technology that facilitates direct interaction between the human brain and outside systems. In this paper, there is a comprehensive review of BCI types, methods of signal acquisition such as EEG and ECoG, and the basic signal processing stages such as preprocessing, feature extraction, and classification. Medical, communication, entertainment, and cognitive applications are discussed with a focus on how BCIs can bring about revolutionary changes. Key challenges touched upon include noise, user heterogeneity, and ethics. The article conc
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Block, Valerie J., Leah McIntyre (née Wylie), Nikki Sisodia, Michelle E. Van Kuiken, Anne M. Suskind, and Riley Bove. "Wearables for the Bladder: Stakeholder Perspectives on Moving Multiple Sclerosis Bladder Dysfunction Interventions Into the 21st Century." International Journal of MS Care 26, Q4 (2024): 290–301. http://dx.doi.org/10.7224/1537-2073.2023-108.

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ABSTRACT BACKGROUND: Bladder dysfunction (BD) is common in people with multiple sclerosis (MS) and can reduce participation in daily life. Detecting BD early allows for effective prevention-focused treatments such as pelvic floor physical therapy. Pairing neurotechnology with patient-reported outcomes to remotely measure BD could significantly improve monitoring and treatment of BD. Therefore, we describe the process and findings of stakeholder engagement from a human-centered design process to assemble a wearables for the bladder (WeB) kit. METHODS: Four people with MS with varying BD severit
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Schneegass, Christina, Max L. Wilson, Jwan Shaban, et al. "Broadening the mind: how emerging neurotechnology is reshaping HCI and interactive system design." i-com, May 23, 2024. http://dx.doi.org/10.1515/icom-2024-0007.

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Abstract People are increasingly eager to know more about themselves through technology. To date, technology has primarily provided information on our physiology. Yet, with advances in wearable technology and artificial intelligence, the current advent of consumer neurotechnology will enable users to measure their cognitive activity. We see an opportunity for research in Human-Computer Interaction (HCI) in the development of these devices. Neurotechnology offers new insights into user experiences and facilitates the development of novel methods in HCI. Researchers will be able to create innova
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Chen, Witney, Lowry Kirkby, Miro Kotzev, Patrick Song, Ro’ee Gilron, and Brian Pepin. "The Role of Large-Scale Data Infrastructure in Developing Next-Generation Deep Brain Stimulation Therapies." Frontiers in Human Neuroscience 15 (September 6, 2021). http://dx.doi.org/10.3389/fnhum.2021.717401.

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Advances in neuromodulation technologies hold the promise of treating a patient’s unique brain network pathology using personalized stimulation patterns. In service of these goals, neuromodulation clinical trials using sensing-enabled devices are routinely generating large multi-modal datasets. However, with the expansion of data acquisition also comes an increasing difficulty to store, manage, and analyze the associated datasets, which integrate complex neural and wearable time-series data with dynamic assessments of patients’ symptomatic state. Here, we discuss a scalable cloud-based data pl
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Dissertations / Theses on the topic "Wearable neurotechnology"

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Banville, Hubert. "Enabling real-world EEG applications with deep learning." Electronic Thesis or Diss., université Paris-Saclay, 2022. http://www.theses.fr/2022UPASG005.

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Au cours des dernières décennies, les avancées révolutionnaires en neuroimagerie ont permis de considérablement améliorer notre compréhension du cerveau. Aujourd'hui, avec la disponibilité croissante des dispositifs personnels de neuroimagerie portables, tels que l'EEG mobile " à bas prix ", une nouvelle ère s’annonce où cette technologie n'est plus limitée aux laboratoires de recherche ou aux contextes cliniques. Les applications de l’EEG dans le " monde réel " présentent cependant leur lot de défis, de la rareté des données étiquetées à la qualité imprévisible des signaux et leur résolution
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Book chapters on the topic "Wearable neurotechnology"

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Jalan, Stuti, and Nidhi Punj. "Leveraging Neurotechnology for Revolutionizing HR Practices." In Advances in Human Resources Management and Organizational Development. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-9631-5.ch010.

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The revolutionary potential of neurotechnology in the business context has kindled interest in the practitioners, specifically HR managers. Neurotechnology, is a unification of neuroscience with technology that enables better evaluation of cognitive and behavioural attributes of the workforce. Recent advancements such as wearable devices, Brain Computer Interfaces, AI driven neuro assessments facilitate deeper insight into the cognitive abilities and performance of the employees. The managers need to capitalize on this progress to make informed decision and also augment the employee parameters
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Conference papers on the topic "Wearable neurotechnology"

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Elmalaki, Salma, Berken Utku Demirel, Mojtaba Taherisadr, Sara Stern-Nezer, Jack J. Lin, and Mohammad Abdullah Al Faruque. "Towards Internet-of-Things for Wearable Neurotechnology." In 2021 22nd International Symposium on Quality Electronic Design (ISQED). IEEE, 2021. http://dx.doi.org/10.1109/isqed51717.2021.9424364.

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Rubio Ballester, Belén, Alica Lathe, Esther Duarte, Armin Duff, and Paul F. M. J. Verschure. "A Wearable Bracelet Device for Promoting Arm Use in Stroke Patients." In International Congress on Neurotechnology, Electronics and Informatics. SCITEPRESS - Science and and Technology Publications, 2015. http://dx.doi.org/10.5220/0005662300240031.

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