Beudel, M., and P. Brown. Adaptive deep brain stimulation in Parkinson’s disease. Parkinsonism Relat. Disord. 22:S123–S126, 2016.
Bowerman, B. L., and R. T. O’Connell. Forecasting and Time Series: An Applied Approach. Belmont, CA: Duxbury Press, 1993.
Broersen, P. M. T., and S. de Waele. Time series analysis in a frequency subband. IEEE Trans. Instrum. Meas. 52(4):1054–1060, 2003.
Buonamici, M., R. Maj, F. Pagani, A. C. Rossi, and N. Khazan. Tremor at rest episodes in unilaterally 6-OHDA-induced substantia-nigra lesioned rats: EEG-EMG and behavior. Neuropharmacology 25(3):323–325, 1986.
Buzsaki, G., A. Smith, S. Berger, L. J. Fisher, and F. H. Gage. Petit mal epilepsy and Parkinsonian tremor: hypothesis of a common pacemaker. Neuroscience 36(1):1–14, 1990.
Camara, C., P. Isasi, K. Warwick, V. Ruiz, T. Aziz, J. Stein, and E. Bakstein. Resting tremor classification and detection in Parkinson’s disease patients. Biomed. Signal Process. Control 16:88–97, 2015.
Carron, R., A. Chaillet, A. Filipchuk, W. Pasillas-Lépine, and C. Hammond. Closing the loop of deep brain stimulation. Front. Syst. Neurosci. 7(112):1–18, 2013.
Chen, Y. C., C. C. Chang, R. Perumal, S. R. Yeh, Y. C. Chang, and H. Chen. Optimization and implementation of wavelet-based algorithms for detecting high-voltage spindles in neuron signals. ACM Trans. Embed. Comput. Syst. 18(5):1–16, 2019.
Chen, Y. C., R. Perumal, C. H. Hwang, and H. Chen. Hardware-based simplified discrete wavelet transform for detecting high-voltage spindles in neuron signals. 2017 IEEE International Instrumentation and Measurement Technology Conference (I2MTC). Turin, Italy, 2017.
Daniely. A., N. Linial, and S. Shalev-Shwartz. From average case complexity to improper learning complexity. In: Proceedings of the 46th Annual ACM Symposium on Theory of Computing, New York, USA, pp. 441–448, 2014.
De Waele, S., and P. M. T. Broersen. Multirate autoregressive modeling. In: Selected Topics in Signals, Systems and Control, edited by O. H. Bosgra, P. M. J. Van Den Hof, and C. W. Scherer. Amsterdam: IOS Press, 2001, pp. 75–80.
Dejean, C., C. E. Gross, B. Bioulac, and T. Boraud. Dynamic changes in the cortex-basal ganglia network after dopamine depletion in the rat. J. Neurophysiol. 100:385–396, 2008.
Ge, S., C. Yang, M. Li, J. Li, X. Chang, J. Fu, L. Chen, C. Chang, X. Wang, J. Zhu, and G. Gao. Dopamine depletion increases the power and coherence of high-voltage spindles in the globus pallidus and motor cortex of freely moving rats. Brain Res. 1465:66–79, 2012.
Gilmour, T. P., and T. Subramanian. Multiscale autoregressive identification of neuro-electrophysiological systems. 33rd Annual International Conference of the IEEE EMBS. Boston, USA, 2011.
Hebb, A. O., J. J. Zhang, M. H. Mahoor, C. Tsiokos, C. Matlack, H. J. Chizeck, and N. Pouratian. Creating the feedback loop: closed-loop neurostimulation. Neurosurg. Clin. N. Am. 25(1):187–204, 2014.
Huberdeau, D., H. Walker, H. Huang, E. Montgomery, and S. V. Sarma. Analysis of local field potential signals: a systems approach. 33rd Annual International Conference of the IEEE EMBS. Boston, USA, 2011.
Lazic, K., J. Ciric, and J. Saponjic. Sleep spindle dynamics during NREM and REM sleep following distinct general anaesthesia in control rats and in a rat model of Parkinson’s disease cholinopathy. J. Sleep Res. 28(1):e12758, 2019.
Li, H., S. Kwong, L. Yang, D. Huang, and D. Xiao. Hilbert-Huang transform for analysis of heart rate variability in cardiac health. IEEE/ACM Trans. Comput. Biol. Bioinform. 8(6):1557–1567, 2011.
Little, S., A. Pogosyan, S. Neal, B. Zavala, L. Zrinzo, M. Hariz, T. Foltynie, P. Limousin, K. Ashkan, J. FitzGerald, A. L. Green, T. Z. Aziz, and P. Brown. Adaptive deep brain stimulation in advanced Parkinson disease. Ann. Neurol. 74(3):449–457, 2013.
Nguyen, D. P., M. A. Wilson, E. N. Brown, and R. Barbieri. Measuring instantaneous frequency of local field potential oscillations using the Kalman smoother. J. Neurosci. Methods 184(2):365–374, 2009.
Parastarfeizabadi, M., and A. Z. Kouzani. Advances in closed-loop deep brain stimulation devices. J. Neuroeng. Rehabil. 14(1), 2017.
Perumal, R., and H. Chen. Performance analysis in a wavelet-based algorithm for automatic detection of high-voltage spindles in Parkinson’s disease rat models. In: IFMBE Proceedings. 1st Global Conference on Biomedical Engineering & 9th Asian-Pacific Conference on Medical and Biological Engineering, Cham:Springer, pp. 170–173, 2015.
Priori, A., G. Foffani, L. Rossi, and S. Marceglia. Adaptive deep brain stimulation (aDBS) controlled by local field potential oscillations. Exp. Neurol. 245:77–86, 2013.
Quinn, E. J., Z. Blumenfeld, A. Velisar, M. M. Koop, L. A. Shreve, M. H. Trager, B. C. Hill, C. Kilbane, J. M. Henderson, and H. Bronte-Stewart. Beta oscillations in freely moving Parkinson’s subjects are attenuated during deep brain stimulation. Mov. Disord. 30(13):1750–1758, 2015.
Radek, R. J., P. Curzon, and M. W. Decker. Characterization of high voltage spindles and spatial memory in young, mature and aged rats. Brain Res. Bull. 33(2):183–188, 1994.
Rosa, M., M. Arlotti, G. Ardolino, F. Cogiamanian, S. Marceglia, A. D. Fonzo, F. Cortese, P. M. Rampini, and A. Priori. Adaptive deep brain stimulation in a freely moving Parkinsonian patient. Mov. Disord. 30(7):1003–1005, 2015.
Ross, S. E., Z. Ouyang, S. Rajagopalan, and T. M. Bruns. Evaluation of decoding algorithms for estimating bladder pressure from dorsal root ganglia neural recordings. Ann. Biomed. Eng. 46(2):233–246, 2018.
Schlögl, A. The Electroencephalogram and the Adaptive Autoregressive Model: Theory and Applications. Aachen: Shaker-Verlag, 2000.
Tatinati, S., K. C. Veluvolu, S. Hong, W. T. Latt, and W. T. Ang. Physiological tremor estimation with autoregressive (AR) model and Kalman filter for robotics applications. IEEE Sensors J. 13(12):4977–4985, 2013.
Uhlhaas, P. J., and W. Singer. Abnormal neural oscillations and synchrony in schizophrenia. Nat. Rev. Neurosci. 11(2):100–113, 2010.
Yang, C., J. R. Zhang, L. Chen, S. N. Ge, J. L. Wang, Z. Q. Yan, D. Jia, J. L. Zhu, and G. D. Gao. High frequency stimulation of the STN restored the abnormal high-voltage spindles in the cortex and the globus pallidus of 6-OHDA lesioned rats. Neurosci. Lett. 595:122–127, 2015.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4