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Real-time ultra-low power ECG anomaly detection using an event-driven
  neuromorphic processor

Real-time ultra-low power ECG anomaly detection using an event-driven neuromorphic processor

IEEE Transactions on Biomedical Circuits and Systems (TBioCAS), 2019
13 November 2019
F. Bauer
Dylan R. Muir
Giacomo Indiveri
ArXiv (abs)PDFHTML

Papers citing "Real-time ultra-low power ECG anomaly detection using an event-driven neuromorphic processor"

21 / 21 papers shown
Finger Force Decoding from Motor Units Activity on Neuromorphic Hardware
Finger Force Decoding from Motor Units Activity on Neuromorphic Hardware
Farah Baracat
Giacomo Indiveri
Elisa Donati
136
1
0
31 Jul 2025
The Promise of Spiking Neural Networks for Ubiquitous Computing: A Survey and New Perspectives
The Promise of Spiking Neural Networks for Ubiquitous Computing: A Survey and New Perspectives
Hemanth Sabbella
Archit Mukherjee
Thivya Kandappu
Sounak Dey
Arpan Pal
Archan Misra
Dong Ma
AI4TS
294
1
0
02 Jun 2025
Towards Hardware Supported Domain Generalization in DNN-Based Edge Computing Devices for Health Monitoring
Towards Hardware Supported Domain Generalization in DNN-Based Edge Computing Devices for Health MonitoringIEEE Transactions on Biomedical Circuits and Systems (TBioCAS), 2024
Johnson Loh
Lyubov Dudchenko
Justus Viga
T. Gemmeke
428
4
0
12 Mar 2025
Event-Driven Implementation of a Physical Reservoir Computing Framework for superficial EMG-based Gesture Recognition
Event-Driven Implementation of a Physical Reservoir Computing Framework for superficial EMG-based Gesture RecognitionIEEE Transactions on Artificial Intelligence (IEEE TAI), 2025
Yuqi Ding
Elisa Donati
Haobo Li
Hadi Heidari
361
1
0
10 Mar 2025
TEXEL: A neuromorphic processor with on-chip learning for beyond-CMOS
  device integration
TEXEL: A neuromorphic processor with on-chip learning for beyond-CMOS device integration
Hugh Greatorex
Ole Richter
Michele Mastella
Madison Cotteret
Philipp Klein
...
Junren Chen
Martin Ziegler
Laura Bégon-Lours
Giacomo Indiveri
Elisabetta Chicca
232
0
0
21 Oct 2024
Baseline Drift Tolerant Signal Encoding for ECG Classification with Deep
  Learning
Baseline Drift Tolerant Signal Encoding for ECG Classification with Deep Learning
Robert O Shea
Prabodh Katti
Bipin Rajendran
155
4
0
26 Apr 2024
Synchronized Stepwise Control of Firing and Learning Thresholds in a
  Spiking Randomly Connected Neural Network toward Hardware Implementation
Synchronized Stepwise Control of Firing and Learning Thresholds in a Spiking Randomly Connected Neural Network toward Hardware Implementation
K. Nomura
Y. Nishi
216
2
0
26 Apr 2024
Anomaly Detection in Industrial Machinery using IoT Devices and Machine
  Learning: a Systematic Mapping
Anomaly Detection in Industrial Machinery using IoT Devices and Machine Learning: a Systematic MappingIEEE Access (IEEE Access), 2023
Sergio Chevtchenko
E. Rocha
M. C. M. D. Santos
Ricardo. L. Mota
Diego. M. Vieira
Ermeson Carneiro De Andrade
Danilo Ricardo Barbosa de Araújo
156
37
0
28 Jul 2023
Gradient-descent hardware-aware training and deployment for mixed-signal
  Neuromorphic processors
Gradient-descent hardware-aware training and deployment for mixed-signal Neuromorphic processors
Uğurcan Cakal
Maryada
Chenxi Wu
I. Ulusoy
Dylan R. Muir
292
10
0
14 Mar 2023
Learning Reservoir Dynamics with Temporal Self-Modulation
Learning Reservoir Dynamics with Temporal Self-ModulationCommunications Physics (Commun. Phys.), 2023
Yusuke Sakemi
S. Nobukawa
Toshitaka Matsuki
Takashi Morie
Kazuyuki Aihara
248
12
0
23 Jan 2023
NET-TEN: a silicon neuromorphic network for low-latency detection of
  seizures in local field potentials
NET-TEN: a silicon neuromorphic network for low-latency detection of seizures in local field potentialsJournal of Neural Engineering (J. Neural Eng.), 2022
Margherita Ronchini
Yasser Rezaeiyan
M. Zamani
G. Panuccio
F. Moradi
341
17
0
19 Oct 2022
Training Spiking Neural Networks Using Lessons From Deep Learning
Training Spiking Neural Networks Using Lessons From Deep LearningProceedings of the IEEE (Proc. IEEE), 2021
Nhan Duy Truong
Max Ward
Emre Neftci
Xinxin Wang
Gregor Lenz
Girish Dwivedi
Bennamoun
Doo Seok Jeong
Wei D. Lu
664
756
0
27 Sep 2021
Spatiotemporal Pattern Recognition in Single Mixed-Signal VLSI Neurons
  with Heterogeneous Dynamic Synapses
Spatiotemporal Pattern Recognition in Single Mixed-Signal VLSI Neurons with Heterogeneous Dynamic SynapsesInternational Conference on Systems (ICONS), 2021
Mattias Nilsson
F. Liwicki
Fredrik Sandin
200
3
0
10 Jun 2021
Network insensitivity to parameter noise via adversarial regularization
Network insensitivity to parameter noise via adversarial regularization
Julian Büchel
F. Faber
Dylan R. Muir
AAML
364
7
0
09 Jun 2021
Bottom-up and top-down approaches for the design of neuromorphic
  processing systems: Tradeoffs and synergies between natural and artificial
  intelligence
Bottom-up and top-down approaches for the design of neuromorphic processing systems: Tradeoffs and synergies between natural and artificial intelligenceProceedings of the IEEE (Proc. IEEE), 2021
Charlotte Frenkel
D. Bol
Giacomo Indiveri
337
63
0
02 Jun 2021
Neuromorphic Computing is Turing-Complete
Neuromorphic Computing is Turing-CompleteInternational Conference on Systems (ICONS), 2021
Prasanna Date
Catherine D. Schuman
Bill Kay
T. Potok
179
25
0
28 Apr 2021
An electronic neuromorphic system for real-time detection of High
  Frequency Oscillations (HFOs) in intracranial EEG
An electronic neuromorphic system for real-time detection of High Frequency Oscillations (HFOs) in intracranial EEGNature Communications (Nat Commun), 2020
M. Sharifshazileh
K. Burelo
J. Sarnthein
Giacomo Indiveri
318
118
0
23 Sep 2020
Hardware Implementation of Deep Network Accelerators Towards Healthcare
  and Biomedical Applications
Hardware Implementation of Deep Network Accelerators Towards Healthcare and Biomedical ApplicationsIEEE Transactions on Biomedical Circuits and Systems (TBioCAS), 2020
M. R. Azghadi
Corey Lammie
Nhan Duy Truong
Melika Payvand
Elisa Donati
B. Linares-Barranco
Giacomo Indiveri
284
178
0
11 Jul 2020
Ultra-Low-Power FDSOI Neural Circuits for Extreme-Edge Neuromorphic
  Intelligence
Ultra-Low-Power FDSOI Neural Circuits for Extreme-Edge Neuromorphic Intelligence
Arianna Rubino
Can Livanelioglu
Ning Qiao
Melika Payvand
Giacomo Indiveri
286
81
0
25 Jun 2020
Model-Size Reduction for Reservoir Computing by Concatenating Internal
  States Through Time
Model-Size Reduction for Reservoir Computing by Concatenating Internal States Through TimeScientific Reports (Sci Rep), 2020
Yusuke Sakemi
K. Morino
T. Leleu
Kazuyuki Aihara
247
22
0
11 Jun 2020
A recipe for creating ideal hybrid memristive-CMOS neuromorphic
  computing systems
A recipe for creating ideal hybrid memristive-CMOS neuromorphic computing systemsApplied Physics Letters (APL), 2019
Elisabetta Chicca
Giacomo Indiveri
232
81
0
11 Dec 2019
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