Zobrazeno 1 - 10
of 88
pro vyhledávání: '"Peyman Mirtaheri"'
Publikováno v:
Data Science in Science, Vol 3, Iss 1 (2024)
The hybrid EEG-fNIRS (electroencephalogram - functional near-infrared spectroscopy) modality provides a comprehensive understanding of brain activity by simultaneously capturing electrical and hemodynamic responses. It takes advantage of the temporal
Externí odkaz:
https://doaj.org/article/7c5c30196ea84dba9348e27983f563fe
Publikováno v:
FORMakademisk, Vol 17, Iss 1 (2024)
The concept of framing has been used as a creative and constructive tool in the design process. This study provides new insights into frames and framing as a tool for understanding disciplinary differences in multidisciplinary collaborations where de
Externí odkaz:
https://doaj.org/article/3f987b94da2148bfa948763cfcba7b71
Publikováno v:
IBRO Neuroscience Reports, Vol 16, Iss , Pp 309-316 (2024)
This study seeks to explore the correlation between cortical activation and the Infinity Walk pattern, examining how the influence of foot overpronation and footwear may impact motor control. Functional near-infrared spectroscopy (fNIRS), a portable
Externí odkaz:
https://doaj.org/article/fba435610c5e424bb0af23c9d9c49027
Publikováno v:
Frontiers in Neuroscience, Vol 18 (2024)
Mobile, low-cost, and energy-aware operation of Artificial Intelligence (AI) computations in smart circuits and autonomous robots will play an important role in the next industrial leap in intelligent automation and assistive devices. Neuromorphic ha
Externí odkaz:
https://doaj.org/article/7e8a551bd9c74f27b9313cdca381632a
Publikováno v:
Journal of Responsible Technology, Vol 17, Iss , Pp 100074- (2024)
In the field of brain monitoring, the advancement of more user-friendly wearable and non-invasive devices is introducing new opportunities for application outside the lab and clinical use. Despite the growing importance of responsible innovation, the
Externí odkaz:
https://doaj.org/article/f6eaf674d38e483e9f808a55d95d5ffd
Autor:
Haroon Khan, Rabindra Khadka, Malik Shahid Sultan, Anis Yazidi, Hernando Ombao, Peyman Mirtaheri
Publikováno v:
Frontiers in Human Neuroscience, Vol 18 (2024)
In this study, we explore the potential of using functional near-infrared spectroscopy (fNIRS) signals in conjunction with modern machine-learning techniques to classify specific anatomical movements to increase the number of control commands for a p
Externí odkaz:
https://doaj.org/article/df42b3635d844d09887185bacbe2b688
Publikováno v:
Sensors, Vol 24, Iss 10, p 3040 (2024)
Brain–computer interface (BCI) systems include signal acquisition, preprocessing, feature extraction, classification, and an application phase. In fNIRS-BCI systems, deep learning (DL) algorithms play a crucial role in enhancing accuracy. Unlike tr
Externí odkaz:
https://doaj.org/article/3f203685f78c4ad6b8fd56f9e21d6d0a
Publikováno v:
Heliyon, Vol 9, Iss 2, Pp e13628- (2023)
Maintaining body balance, whether static or dynamic, is critical in performing everyday activities and developing and optimizing basic motor skills. This study investigates how a professional alpine skier's brain activates on the contralateral side d
Externí odkaz:
https://doaj.org/article/230c94b78ca2477d904cc4c5db55e281
Publikováno v:
Journal of Responsible Innovation, Vol 10, Iss 1 (2023)
ABSTRACTWearable, non-invasive, brain-monitoring technologies could take research outside the laboratory, to make discoveries about the human brain in different, and sometimes more relevant, settings for the specific research. While this could lead t
Externí odkaz:
https://doaj.org/article/960e34430ba84ca1bb7459d48da1b41d
Publikováno v:
Frontiers in Signal Processing, Vol 2 (2022)
Recently, the development of learning-based algorithms has shown a crucial role to extract features of vital importance from multi-spectral photoacoustic imaging. In particular, advances in spectral photoacoustic unmixing algorithms can identify tiss
Externí odkaz:
https://doaj.org/article/ee231ec408364b09a9fcd7edc184fa92