Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Peilong Feng"'
Publikováno v:
IEEE Access, Vol 10, Pp 117515-117529 (2022)
Brain-machine interfaces (BMI) are tools for measuring neural activity in the brain, used to treat numerous conditions. It is essential that the next generation of intracortical BMIs is wireless so as to remove percutaneous connections, i.e. wires, a
Externí odkaz:
https://doaj.org/article/702f69befb814967a3003ffdeb75a86a
Recent translational efforts in brain-machine interfaces (BMI) are demonstrating the potential to help people with neurological disorders. The current trend in BMI technology is to increase the number of recording channels to the thousands, resulting
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f9cec330f211929cedcfc407d383999
http://hdl.handle.net/10044/1/104635
http://hdl.handle.net/10044/1/104635
Publikováno v:
IEEE Access. 10:117515-117529
Brain-machine interfaces (BMI) are tools for treating neurological disorders and motor-impairments. It is essential that the next generation of intracortical BMIs is wireless so as to remove percutaneous connections, i.e. wires, and the associated me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e907d3a2a74b463fdc1a615d1c37052
https://doi.org/10.1109/access.2022.3219441
https://doi.org/10.1109/access.2022.3219441
Publikováno v:
Handbook of Neuroengineering ISBN: 9789811655395
Handbook of Neuroengineering ISBN: 9789811528484
Handbook of Neuroengineering
Handbook of Neuroengineering ISBN: 9789811528484
Handbook of Neuroengineering
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d3fdcb524f1a54577a4dec48a1801aec
https://doi.org/10.1007/978-981-16-5540-1_11
https://doi.org/10.1007/978-981-16-5540-1_11
Autor:
Arthur Jaccottet, Peilong Feng, Katarzyna M. Szostak-Lipowicz, Lewis Keeble, Timothy G. Constandinou
Publikováno v:
2022 IEEE Biomedical Circuits and Systems Conference (BioCAS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e09085d157b8b8e40ef63fb04fb912fa
https://doi.org/10.1109/biocas54905.2022.9948556
https://doi.org/10.1109/biocas54905.2022.9948556
Autor:
Andrea Mifsud, Jiawei Shen, Peilong Feng, Lijie Xie, Chaohan Wang, Yihan Pan, Sachin Maheshwari, Shady Agwa, Spyros Stathopoulos, Shiwei Wang, Alexander Serb, Christos Papavassiliou, Themis Prodromakis, Timothy G. Constandinou
Publikováno v:
2022 IEEE International Symposium on Circuits and Systems (ISCAS)
Mass characterisation of emerging memory devices is an essential step in modelling their behaviour for integration within a standard design flow for existing integrated circuit designers. This work develops a novel characterisation platform for emerg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ad2d6ffcf682c5a099bbfd74f4d2ea56
Publikováno v:
2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS)
MWSCAS
MWSCAS
The lack of open-source memory compilers in academia typically causes significant delays in research and design implementations. This paper presents an open-source memory compiler that is directly integrated within the Cadence Virtuoso environment us
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::edc3c9c8eb508d81428ec5f91a6c7bdf
http://arxiv.org/abs/2104.14885
http://arxiv.org/abs/2104.14885
Memory compilers are necessary tools to boost the design procedure of digital circuits. However, only a few are available to academia. Resistive Random Access Memory (RRAM) is characterised by high density, high speed, non volatility and is a potenti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cd2670553c16489971c1941336e96704
Publikováno v:
IEEE Transactions on Biomedical Circuits and Systems. 12:1088-1099
Next generation implantable neural interfaces are targeting devices with mm-scale form factors that are freely floating and completely wireless. Scalability to more recording (or stimulation) channels will be achieved through distributing multiple de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::85886cb1bec59b020e736753790abc63
https://doi.org/10.1109/tbcas.2018.2853670
https://doi.org/10.1109/tbcas.2018.2853670
Publikováno v:
BioCAS
IEEE Biomedical Circuits and Systems (BioCAS) Conference
IEEE Biomedical Circuits and Systems (BioCAS) Conference
This paper presents a robust EM-lens-enhanced wireless power transmission system and a novel multiple-node data communication method for distributed implantable medical devices. The proposed techniques can solve the common issues caused by multiple i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3b096fc66543dedbd21e67a18106b377
https://doi.org/10.1109/biocas.2019.8919152
https://doi.org/10.1109/biocas.2019.8919152