Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Sirma Orguc"'
Autor:
Hannah Boyce, Avik Som, Adam J Wentworth, Saurav Maji, Manish Gala, Jacqueline N. Chu, Sarah Becker, Caitlynn Tov, Hen-Wei Huang, James D. Byrne, Canchen Li, Joanna Sands, Anantha P. Chandrakasan, Sahab Babaee, Giovanni Traverso, Seokkee Min, Peter R. Chai, Sirma Orguc
Publikováno v:
ACS Pharmacology & Translational Science
Other repository
Other repository
N95 filtering facepiece respirators (FFR) and surgical masks are essential in reducing airborne disease transmission, particularly during the COVID-19 pandemic. However, currently available FFR's and masks have major limitations, including masking fa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ce39265fc3f02dc3dcd9797bf5f91de
https://pubmed.ncbi.nlm.nih.gov/33330837
https://pubmed.ncbi.nlm.nih.gov/33330837
Publikováno v:
EMBC
Sirma Orguc
Sirma Orguc
This work presents a modular, light-weight head-borne neuromodulation platform that achieves low-power wireless neuromodulation and allows real-time programmability of the stimulation parameters such as the frequency, duty cycle, and intensity. This
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::203020499fdda57d66f3e9e9b96e71e2
https://doi.org/10.1109/embc44109.2020.9175600
https://doi.org/10.1109/embc44109.2020.9175600
Autor:
Thomas Benavides, Timothy Akintilo, Yoel Fink, Cemal Cem Tasan, Georgios Varnavides, Mehmet Kanik, Anantha P. Chandrakasan, Dani Gonzalez, Polina Anikeeva, Jinwoo Kim, Sirma Orguc
Publikováno v:
Science
Artificial muscles may accelerate the development of robotics, haptics, and prosthetics. Although advances in polymer-based actuators have delivered unprecedented strengths, producing these devices at scale with tunable dimensions remains a challenge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::454ee00ccd5d39f4ea7df2f9c494b4f0
https://pubmed.ncbi.nlm.nih.gov/31296764
https://pubmed.ncbi.nlm.nih.gov/31296764
Autor:
Sirma Orguc, H.S. Leel, Harneet Singh Khurana, Anantha P. Chandrakasan, Konstantina M. Stankovic
Publikováno v:
Prof. Chandrakasan
EMBC
EMBC
An electromyogram (EMG) signal acquisition system capable of real time classification of several facial gestures is presented. The training data consist of the facial EMG collected from 10 individuals (5 female/5 male). A custom-designed sensor inter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::692d6771668b76672e836ddcbe5b2dd1
https://hdl.handle.net/1721.1/123872
https://hdl.handle.net/1721.1/123872
Publikováno v:
ESSCIRC
A low-voltage, ultra-low power sensor interface for electromyogram (EMG) signal acquisition is presented. The sensor interface consists of an amplifier and a SAR ADC that work from a 0.3V supply. The low-voltage amplifier topology provides a noise le
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::adf0c4db924c766dd47d06b4b6da0ea7
https://doi.org/10.1109/esscirc.2017.8094565
https://doi.org/10.1109/esscirc.2017.8094565