Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Fred Burghardt"'
Autor:
Fred Burghardt, Natasha A. D. Yamamoto, Jan M. Rabaey, Yasser Khan, Alisha Menon, George Alexandrov, Luca Benini, Jonathan Ting, Ana Claudia Arias, Ali Moin, Abbas Rahimi, Senam Tamakloe, Andy Zhou, Simone Benatti
Publikováno v:
Nature Electronics. 4:54-63
Wearable devices that monitor muscle activity based on surface electromyography could be of use in the development of hand gesture recognition applications. Such devices typically use machine-learning models, either locally or externally, for gesture
Autor:
Michel M. Maharbiz, Fred Burghardt, Rikky Muller, Carolyn Schwendeman, Ana Claudia Arias, Ryan Kaveh, Andy Zhou, Karthik Gopalan, Justin Doong
Publikováno v:
IEEE Transactions on Biomedical Circuits and Systems. 14:727-737
In the past few years it has been demonstrated that electroencephalography (EEG) can be recorded from inside the ear (in-ear EEG). To open the door to low-profile earpieces as wearable brain-computer interfaces (BCIs), this work presents a practical
Autor:
George Alexandrov, Andy Zhou, Benjamin C. Johnson, Fred Burghardt, Rikky Muller, Jose M. Carmena, Samantha R Santacruz, Ali Moin, Jan M. Rabaey
Publikováno v:
Nature Biomedical Engineering. 3:15-26
Closed-loop neuromodulation systems aim to treat a variety of neurological conditions by delivering and adjusting therapeutic electrical stimulation in response to a patient's neural state, recorded in real time. Existing systems are limited by low c
Autor:
Fred Burghardt, Karthik Gopalan, Michel M. Maharbiz, Rikky Muller, Ana Claudia Arias, Ryan Kaveh, Carolyn Schwendeman, Justin Doong, Andy Zhou
Publikováno v:
BioCAS
Recently it has been demonstrated that electroencephalography (EEG) can be recorded from the ear canal (in-ear EEG), opening the door to using discreet earpieces as wearable brain-computer interfaces (BCIs). We present, for the first time to our know
Autor:
Luca Benini, Fred Burghardt, Natasha A. D. Yamamoto, Ana Claudia Arias, Jonathan Ting, Ali Moin, Yasser Khan, Jan M. Rabaey, Abbas Rahimi, Senam Tamakloe, Alisha Menon, Andy Zhou, Simone Benatti
Publikováno v:
ISCAS
EMG-based gesture recognition shows promise for human-machine interaction. Systems are often afflicted by signal and electrode variability which degrades performance over time. We present an end-to-end system combating this variability using a large-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::276c2b26cfb5f3b55d1c1faa244e53f4
http://hdl.handle.net/11585/652252
http://hdl.handle.net/11585/652252
Autor:
George Alexandrov, Rikky Muller, Jan M. Rabaey, Igor Izyumin, Elad Alon, Ali Moin, Benjamin C. Johnson, Kedar G. Shah, Fred Burghardt, Sat Pannu
Publikováno v:
EMBC
A distributed, modular, intelligent, and efficient neuromodulation device, called OMNI, is presented. It supports closed-loop recording and stimulation on 256 channels from up to 4 physically distinct neuromodulation modules placed in any configurati
Publikováno v:
2010 IEEE Radio and Wireless Symposium (RWS).
Due to copyright restrictions, the access to the full text of this article is only available via subscription. The explosive growth in the density of wirelessly connected devices and their traffic load is creating interference and gradually leading t
Autor:
Nathan Pletcher, Jan M. Rabaey, Fred Burghardt, Seth R. Sanders, Mike Seeman, Mike Koplow, Daniel A. Steingart, Paul K. Wright, Y.H. Chee, Michael Mark
Publikováno v:
DAC
The PicoCube is a 1 cm3 sensor node using harvested energy as its source of power. Operating at an average of only 6 uW for a tire-pressure application, the PicoCube represents a modular and integrated approach to the design of nodes for wireless sen
Publikováno v:
Analog Circuit Design ISBN: 9781402051852
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::43c9cdb842f973243ec75a35f5003844
https://doi.org/10.1007/1-4020-5186-7_14
https://doi.org/10.1007/1-4020-5186-7_14
Autor:
En-Yi A. Lin, Michael D. Sheets, Fred Burghardt, Rahul C. Shah, Josephine Ammer, Jan M. Rabaey, Brian Otis
Publikováno v:
Ambient Intelligence ISBN: 3540238670
Ambient Intelligence
Ambient Intelligence
In earlier chapters, it was described how the capability to build and deploy dense wireless networks of heterogeneous nodes collecting and disseminating wide ranges of environmental data enables a multiplicity of exciting scenarios. To mention just a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ddf6148e5a31f96985db2a9a3462efd9
https://doi.org/10.1007/3-540-27139-2_14
https://doi.org/10.1007/3-540-27139-2_14