Zobrazeno 1 - 10
of 239
pro vyhledávání: '"Lora, Cavuoto"'
Autor:
Anil Kamat, Condell Eastmond, Yuanyuan Gao, Arun Nemani, Erim Yanik, Lora Cavuoto, Matthew Hackett, Jack Norfleet, Steven Schwaitzberg, Suvranu De, Xavier Intes
Publikováno v:
Scientific Data, Vol 10, Iss 1, Pp 1-9 (2023)
Abstract Functional near-infrared spectroscopy (fNIRS) is a neuroimaging tool for studying brain activity in mobile subjects. Open-access fNIRS datasets are limited to simple and/or motion-restricted tasks. Here, we report a fNIRS dataset acquired on
Externí odkaz:
https://doaj.org/article/54a8456d41e640b4aeec58583e05bcc0
Autor:
Pushpinder Walia, Yaoyu Fu, Jack Norfleet, Steven D. Schwaitzberg, Xavier Intes, Suvranu De, Lora Cavuoto, Anirban Dutta
Publikováno v:
Frontiers in Neuroergonomics, Vol 4 (2024)
Transcranial Direct Current Stimulation (tDCS) has demonstrated its potential in enhancing surgical training and performance compared to sham tDCS. However, optimizing its efficacy requires the selection of appropriate brain targets informed by neuro
Externí odkaz:
https://doaj.org/article/9167734ce7be4d6ca062d4e6d42a4448
Autor:
Pushpinder Walia, Yaoyu Fu, Jack Norfleet, Steven D. Schwaitzberg, Xavier Intes, Suvranu De, Lora Cavuoto, Anirban Dutta
Publikováno v:
Brain Informatics, Vol 9, Iss 1, Pp 1-25 (2022)
Abstract Error-based learning is one of the basic skill acquisition mechanisms that can be modeled as a perception–action system and investigated based on brain–behavior analysis during skill training. Here, the error-related chain of mental proc
Externí odkaz:
https://doaj.org/article/b7ac6282514b41f8b008cacbc832e539
Autor:
Takahiro Manabe, F.N.U. Rahul, Yaoyu Fu, Xavier Intes, Steven D. Schwaitzberg, Suvranu De, Lora Cavuoto, Anirban Dutta
Publikováno v:
Brain Sciences, Vol 13, Iss 12, p 1706 (2023)
The study aimed to differentiate experts from novices in laparoscopic surgery tasks using electroencephalogram (EEG) topographic features. A microstate-based common spatial pattern (CSP) analysis with linear discriminant analysis (LDA) was compared t
Externí odkaz:
https://doaj.org/article/e067e7a4f5a54f33811b63a4d8aaa471
Publikováno v:
JMIR Perioperative Medicine, Vol 5, Iss 1, p e34522 (2022)
BackgroundProper airway management is an essential skill for hospital personnel and rescue services to learn, as it is a priority for the care of patients who are critically ill. It is essential that providers be properly trained and competent in per
Externí odkaz:
https://doaj.org/article/b41c42686f8c46969a7b58139deaad74
Autor:
Saeb Ragani Lamooki, Sahand Hajifar, Jacqueline Hannan, Hongyue Sun, Fadel Megahed, Lora Cavuoto
Publikováno v:
PLoS ONE, Vol 17, Iss 12, p e0261765 (2022)
Electrical line workers (ELWs) experience harsh environments, characterized by long shifts, remote operations, and potentially risky tasks. Wearables present an opportunity for unobtrusive monitoring of productivity and safety. A prerequisite to moni
Externí odkaz:
https://doaj.org/article/125f2783e30c47f6b5883e2cb6c15fb1
Autor:
Cavuoto, Lora
Publikováno v:
Industrial Safety & Hygiene News. Jul2022, Vol. 56 Issue 7, p12-12. 1p.
Publikováno v:
Frontiers in Physiology, Vol 12 (2021)
Objective: Movement efficiency can be quantified during physical tasks by measuring the rate of change of acceleration (jerk). Jerk captures the smoothness of a motion and has been used to quantify movement for upper extremity and torso-based tasks.
Externí odkaz:
https://doaj.org/article/505c8c0486eb4c1e95b206e7ed06500b
Autor:
Yuanyuan Gao, Lora Cavuoto, Anirban Dutta, Uwe Kruger, Pingkun Yan, Arun Nemani, Jack E. Norfleet, Basiel A. Makled, Jessica Silvestri, Steven Schwaitzberg, Xavier Intes, Suvranu De
Publikováno v:
Frontiers in Neuroscience, Vol 15 (2021)
Acquisition of fine motor skills is a time-consuming process as it is based on learning via frequent repetitions. Transcranial electrical stimulation (tES) is a promising means of enhancing simple motor skill development via neuromodulatory mechanism
Externí odkaz:
https://doaj.org/article/98efe3fc074e4feb8705ae720ff4f73c
Publikováno v:
IEEE Transactions on Learning Technologies. :1-13