302 related articles for article (PubMed ID: 30790780)
1. Early seizure detection for closed loop direct neurostimulation devices in epilepsy.
Dümpelmann M
J Neural Eng; 2019 Aug; 16(4):041001. PubMed ID: 30790780
[TBL] [Abstract][Full Text] [Related]
2. Multistage seizure detection techniques optimized for low-power hardware platforms.
Raghunathan S; Jaitli A; Irazoqui PP
Epilepsy Behav; 2011 Dec; 22 Suppl 1():S61-8. PubMed ID: 22078520
[TBL] [Abstract][Full Text] [Related]
3. A hardware-algorithm co-design approach to optimize seizure detection algorithms for implantable applications.
Raghunathan S; Gupta SK; Markandeya HS; Roy K; Irazoqui PP
J Neurosci Methods; 2010 Oct; 193(1):106-17. PubMed ID: 20713084
[TBL] [Abstract][Full Text] [Related]
4. Seizure Suppression Efficacy of Closed-Loop Versus Open-Loop Deep Brain Stimulation in a Rodent Model of Epilepsy.
Salam MT; Perez Velazquez JL; Genov R
IEEE Trans Neural Syst Rehabil Eng; 2016 Jun; 24(6):710-9. PubMed ID: 26571534
[TBL] [Abstract][Full Text] [Related]
5. CLoSES: A platform for closed-loop intracranial stimulation in humans.
Zelmann R; Paulk AC; Basu I; Sarma A; Yousefi A; Crocker B; Eskandar E; Williams Z; Cosgrove GR; Weisholtz DS; Dougherty DD; Truccolo W; Widge AS; Cash SS
Neuroimage; 2020 Dec; 223():117314. PubMed ID: 32882382
[TBL] [Abstract][Full Text] [Related]
6. Epileptic seizure detection: a comparative study between deep and traditional machine learning techniques.
Sahu R; Dash SR; Cacha LA; Poznanski RR; Parida S
J Integr Neurosci; 2020 Mar; 19(1):1-9. PubMed ID: 32259881
[TBL] [Abstract][Full Text] [Related]
7. Early Seizure Detection Algorithm Based on Intracranial EEG and Random Forest Classification.
Donos C; Dümpelmann M; Schulze-Bonhage A
Int J Neural Syst; 2015 Aug; 25(5):1550023. PubMed ID: 26022388
[TBL] [Abstract][Full Text] [Related]
8. A Comparison of Machine Learning Classifiers for Energy-Efficient Implementation of Seizure Detection.
Manzouri F; Heller S; Dümpelmann M; Woias P; Schulze-Bonhage A
Front Syst Neurosci; 2018; 12():43. PubMed ID: 30294263
[TBL] [Abstract][Full Text] [Related]
9. Design and Implementation of an On-Chip Patient-Specific Closed-Loop Seizure Onset and Termination Detection System.
Zhang C; Bin Altaf MA; Yoo J
IEEE J Biomed Health Inform; 2016 Jul; 20(4):996-1007. PubMed ID: 27093712
[TBL] [Abstract][Full Text] [Related]
10. Detecting epileptic seizures in long-term human EEG: a new approach to automatic online and real-time detection and classification of polymorphic seizure patterns.
Meier R; Dittrich H; Schulze-Bonhage A; Aertsen A
J Clin Neurophysiol; 2008 Jun; 25(3):119-31. PubMed ID: 18469727
[TBL] [Abstract][Full Text] [Related]
11. A micropower support vector machine based seizure detection architecture for embedded medical devices.
Shoeb A; Carlson D; Panken E; Denison T
Annu Int Conf IEEE Eng Med Biol Soc; 2009; 2009():4202-5. PubMed ID: 19964342
[TBL] [Abstract][Full Text] [Related]
12. Therapeutic devices for epilepsy.
Fisher RS
Ann Neurol; 2012 Feb; 71(2):157-68. PubMed ID: 22367987
[TBL] [Abstract][Full Text] [Related]
13. The design and hardware implementation of a low-power real-time seizure detection algorithm.
Raghunathan S; Gupta SK; Ward MP; Worth RM; Roy K; Irazoqui PP
J Neural Eng; 2009 Oct; 6(5):056005. PubMed ID: 19717893
[TBL] [Abstract][Full Text] [Related]
14. HH model based smart deep brain stimulator to detect, predict and control epilepsy using machine learning algorithm.
Nambi Narayanan S; Subbian S
J Neurosci Methods; 2023 Apr; 389():109825. PubMed ID: 36822276
[TBL] [Abstract][Full Text] [Related]
15. Cloud computing for seizure detection in implanted neural devices.
Baldassano S; Zhao X; Brinkmann B; Kremen V; Bernabei J; Cook M; Denison T; Worrell G; Litt B
J Neural Eng; 2019 Apr; 16(2):026016. PubMed ID: 30560812
[TBL] [Abstract][Full Text] [Related]
16. Closed-Loop Neurostimulators: A Survey and A Seizure-Predicting Design Example for Intractable Epilepsy Treatment.
Kassiri H; Tonekaboni S; Salam MT; Soltani N; Abdelhalim K; Velazquez JLP; Genov R
IEEE Trans Biomed Circuits Syst; 2017 Oct; 11(5):1026-1040. PubMed ID: 28715338
[TBL] [Abstract][Full Text] [Related]
17. Epileptic seizure prediction using hybrid feature selection over multiple intracranial EEG electrode contacts: a report of four patients.
D'Alessandro M; Esteller R; Vachtsevanos G; Hinson A; Echauz J; Litt B
IEEE Trans Biomed Eng; 2003 May; 50(5):603-15. PubMed ID: 12769436
[TBL] [Abstract][Full Text] [Related]
18. Seizure detection: an assessment of time- and frequency-based features in a unified two-dimensional decisional space using nonlinear decision functions.
Tito M; Cabrerizo M; Ayala M; Jayakar P; Adjouadi M
J Clin Neurophysiol; 2009 Dec; 26(6):381-91. PubMed ID: 19952562
[TBL] [Abstract][Full Text] [Related]
19. Epileptic seizure detection based on imbalanced classification and wavelet packet transform.
Yuan Q; Zhou W; Zhang L; Zhang F; Xu F; Leng Y; Wei D; Chen M
Seizure; 2017 Aug; 50():99-108. PubMed ID: 28649016
[TBL] [Abstract][Full Text] [Related]
20. Association of Closed-Loop Brain Stimulation Neurophysiological Features With Seizure Control Among Patients With Focal Epilepsy.
Kokkinos V; Sisterson ND; Wozny TA; Richardson RM
JAMA Neurol; 2019 Jul; 76(7):800-808. PubMed ID: 30985902
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
