Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Matthias Eberlein"'
Autor:
Nicole Wolff, Matthias Eberlein, Sanna Stroth, Luise Poustka, Stefan Roepke, Inge Kamp-Becker, Veit Roessner
Publikováno v:
Frontiers in Psychiatry, Vol 13 (2022)
Externí odkaz:
https://doaj.org/article/a396382de1e844608040aa357762e749
Autor:
Nicole Wolff, Matthias Eberlein, Sanna Stroth, Luise Poustka, Stefan Roepke, Inge Kamp-Becker, Veit Roessner
Publikováno v:
Frontiers in Psychiatry, Vol 13 (2022)
ObjectiveAlthough autism spectrum disorder (ASD) is a relatively common, well-known but heterogeneous neuropsychiatric disorder, specific knowledge about characteristics of this heterogeneity is scarce. There is consensus that IQ contributes to this
Externí odkaz:
https://doaj.org/article/4d3c8bcf2b4d4219be3c5e6da0c1796b
Autor:
Harald Pretl, Matthias Eberlein
We present a summary talk of our compendium paper of two-metal-oxide-semiconductor (MOS)-transistor circuits, which span the range from simple standard configurations to ingenious arrangements, and are a testament to the versatility of the MOSFET. Us
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::13c78f536b541b430e3f49c517c229ba
Autor:
Matthias Eberlein, Harald Pretl
Publikováno v:
Analog Circuits for Machine Learning, Current/Voltage/Temperature Sensors, and High-speed Communication ISBN: 9783030917401
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9a938a636ac9e4bdc4161dd62c8d8fab
https://doi.org/10.1007/978-3-030-91741-8_11
https://doi.org/10.1007/978-3-030-91741-8_11
Repeated epileptic seizures impair around 65 million people worldwide and a successful prediction of seizures could significantly help patients suffering from refractory epilepsy. For two dogs with yearlong intracranial electroencephalography (iEEG)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5ed6b1dd2964cf08fe3513e601a2a53a
Publikováno v:
IEEE Transactions on Circuits and Systems II: Express Briefs. 66:1608-1612
This brief presents an innovative technique for precise reference generation based on “digital-alike” operation. The bias of pn-junctions is defined trough pulse timings, while respective PTAT and CTAT signals are sampled from the voltage-decay o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1ab5cc1c073e961cf8ae9a0bb3333a87
https://doi.org/10.1109/tcsii.2019.2929599
https://doi.org/10.1109/tcsii.2019.2929599
Autor:
Matthias Eberlein, Harald Pretl
Publikováno v:
ESSCIRC
We present a simple, yet robust architecture to achieve accurate temperature sensing without the need for costly calibration. For the first time, the active bulk diode of a standard CMOS process is utilized in replacement of BJT devices. Two such dio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2b22d3bfee7b68102b93c9793456a960
https://doi.org/10.1109/lssc.2019.2938140
https://doi.org/10.1109/lssc.2019.2938140
Autor:
Matthias Eberlein, Harald Pretl
Publikováno v:
ISCAS
This brief presents a versatile thermal sensor, which features explicit simplicity on both circuit and system level. High accuracy without the need for calibration is possible by using the NPN bipolar device, available from a triple-well process. Com
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b2e1710c6dffd5bcf4e062a66eb1b437
https://doi.org/10.1109/iscas51556.2021.9401138
https://doi.org/10.1109/iscas51556.2021.9401138
Autor:
Harald Pretl, Matthias Eberlein
Publikováno v:
VLSI-DAT
In this paper a PNP-based thermal sensor is described, which features a most simple circuitry using the current-mode approach. A single feedback loop generates a CTAT current and compares it to a PTAT signal. The same loop performs also the active in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c54c08c66addc0088b76396a638c4fd
https://doi.org/10.1109/vlsi-dat52063.2021.9427329
https://doi.org/10.1109/vlsi-dat52063.2021.9427329
Autor:
Matthias Eberlein, Levin Kuhlmann, Georg Leonhardt, Jens Müller, Ortrud Uckermann, Ronald Tetzlaff, Hongliu Yang
Seizure forecasting using machine learning is possible, but the performance is far from ideal, as indicated by many false predictions and low specificity. Here, we examine false and missing alarms of two algorithms on long-term datasets to show that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2d5795a560285a7112bdb5f6d5b84fe2