Zobrazeno 1 - 10 of 136 pro vyhledávání: '"Sadasivan Puthusserypady"'
1
Akademický článek
A systematic review on functional electrical stimulation based rehabilitation systems for upper limb post-stroke recovery
Autor: Muhammad Ahmed Khan, Hoda Fares, Hemant Ghayvat, Iris Charlotte Brunner, Sadasivan Puthusserypady, Babak Razavi, Maarten Lansberg, Ada Poon, Kimford Jay Meador
Publikováno v: Frontiers in Neurology, Vol 14 (2023)
BackgroundStroke is one of the most common neurological conditions that often leads to upper limb motor impairments, significantly affecting individuals' quality of life. Rehabilitation strategies are crucial in facilitating post-stroke recovery and
Externí odkaz: https://doaj.org/article/91ca43f38f6149e0810827955d886198
Zobrazit plný text záznamu
2
Akademický článek
CACHET-CADB: A Contextualized Ambulatory Electrocardiography Arrhythmia Dataset
Autor: Devender Kumar, Sadasivan Puthusserypady, Helena Dominguez, Kamal Sharma, Jakob E. Bardram
Publikováno v: Frontiers in Cardiovascular Medicine, Vol 9 (2022)
ECG is a non-invasive tool for arrhythmia detection. In recent years, wearable ECG-based ambulatory arrhythmia monitoring has gained increasing attention. However, arrhythmia detection algorithms trained on existing public arrhythmia databases show h
Externí odkaz: https://doaj.org/article/21ca26e424be4f12aa9cc397753c5765
Zobrazit plný text záznamu
3
Akademický článek
Optimal pseudorandom sequence selection for online c-VEP based BCI control applications.
Autor: Jonas L Isaksen, Ali Mohebbi, Sadasivan Puthusserypady
Publikováno v: PLoS ONE, Vol 12, Iss 9, p e0184785 (2017)
In a c-VEP BCI setting, test subjects can have highly varying performances when different pseudorandom sequences are applied as stimulus, and ideally, multiple codes should be supported. On the other hand, repeating the experiment with many different
Externí odkaz: https://doaj.org/article/96565d745acc496f89e2cc815d48b1fa
Zobrazit plný text záznamu
4
Akademický článek
Neurofeedback therapy for enhancing visual attention: state-of-the-art and challenges
Autor: Mehdi Ordikhani-Seyedlar, Mikhail A. Lebedev, Helge B.D. Sorensen, Sadasivan Puthusserypady
Publikováno v: Frontiers in Neuroscience, Vol 10 (2016)
We have witnessed a rapid development of brain-computer interfaces (BCIs) linking the brain to external devices. BCIs can be utilized to treat neurological conditions and even to augment brain functions. BCIs offer a promising treatment for mental di
Externí odkaz: https://doaj.org/article/2a8272d548ab4a6e9177c57fd408bcbb
Zobrazit plný text záznamu
6
Machine Learning for Motor Imagery Wrist Dorsiflexion Prediction in Brain-Computer Interface Assisted Stroke Rehabilitation
Autor: Cihan Uyanik, M. Ahmed Khan, Iris C. Brunner, John P. Hansen, Sadasivan Puthusserypady
Publikováno v: Uyanik, C, Khan, M A, Brunner, I C, Hansen, J P & Puthusserypady, S 2022, Machine Learning for Motor Imagery Wrist Dorsiflexion Prediction in Brain-Computer Interface Assisted Stroke Rehabilitation . in 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022 . IEEE, pp. 715-719, 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022, Glasgow, United Kingdom, 11/07/2022 . https://doi.org/10.1109/EMBC48229.2022.9871600
Stroke is a life-changing event that can affect the survivors' physical, cognitive and emotional state. Stroke care focuses on helping the survivors to regain their strength; recover as much functionality as possible and return to independent living
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e29082baf8b01fb752bdb03afdf0867
https://doi.org/10.1109/embc48229.2022.9871600
Zobrazit plný text záznamu
8
Vocal Imagery vs Intention: Viability of Vocal-Based EEG-BCI Paradigms
Autor: Alexander Borch Kristensen, Younes Subhi, Sadasivan Puthusserypady
Publikováno v: Kristensen, A B, Subhi, Y & Puthusserypady, S 2020, ' Vocal Imagery vs Intention: Viability of Vocal Based EEG-BCI Paradigms ', IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 28, no. 8, pp. 1750-1759 . https://doi.org/10.1109/TNSRE.2020.3004924
The viability of electroencephalogram (EEG) based vocal imagery (VIm) and vocal intention (VInt) Brain-Computer Interface (BCI) systems has been investigated in this study. Four different types of experimental tasks related to humming has been design
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::438ed5c65258427aade4bf7e0369c651
https://doi.org/10.1109/tnsre.2020.3004924
Zobrazit plný text záznamu
9
Motor Imagery EEG Signal Classification for Stroke Survivors Rehabilitation
Autor: Alex Efstathios Voinas, Rig Das, Muhammad Ahmed Khan, Iris Brunner, Sadasivan Puthusserypady
Publikováno v: Voinas, A E, Das, R, Khan, M A, Brunner, I & Puthusserypady, S 2022, Motor Imagery EEG Signal Classification for Stroke Survivors Rehabilitation . in 2022 10th International Winter Conference on Brain-Computer Interface (BCI) . IEEE, pp. 1-5, 10th International Winter Conference on Brain-Computer Interface, BCI 2022, Republic of Gangwon-do, Korea,-, 21/02/2022 . https://doi.org/10.1109/BCI53720.2022.9734837
Motor Imagery (MI) based Brain Computer Inter-face (BCI) is a promising neurorehabilitation tool for treating motor impaired stroke survivors. It enables the MI electroencephalogram (EEG) signals to be converted/mapped into customized robotic and ass
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::668e828f14a1107890f540ac6445dafd
https://pure.au.dk/portal/da/publications/motor-imagery-eeg-signal-classification-for-stroke-survivors-rehabilitation(10ee321a-4def-428f-bd5f-eb2bb3d1ab6a).html
Zobrazit plný text záznamu
10
Brainy Home: A Virtual Smart Home and Wheelchair Control Application Powered by Brain Computer Interface
Autor: Cihan Uyanik, Muhammad Khan, Rig Das, John Hansen, Sadasivan Puthusserypady
Publikováno v: 15th International Conference on Biomedical Electronics and Devices
Uyanik, C, Khan, M A, Das, R, Hansen, J P & Puthusserypady, S 2022, Brainy Home: A Virtual Smart Home and Wheelchair Control Application Powered by Brain Computer Interface . in Proceedings of the 15 th International Joint Conference on Biomedical Engineering Systems and Technologies . vol. 1-BIODEVICES, SCITEPRESS Digital Library, pp. 134-141, 15 th International Conference on Biomedical Electronics and Devices, 09/02/2022 . https://doi.org/10.5220/0010785800003123
Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies
In recent years, smart home applications have become imperative to improve the life quality of people, especially for those with motor disabilities. While the smart home applications are controlled with interaction tools such as mobile phones, voice
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7764db39974cce2f5f7d830ef298f970
https://doi.org/10.5220/0010785800003123
Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání

Omezení vyhledávání
Plný text Recenzováno Digitální knihovna AV ČR
Zdroje