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Daniel Abasolo

Showing results (1-10 of 34) with videos related to

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
Volume conduction effects on bivariate Lempel-Ziv Complexity of Alzheimer's disease electroencephalogramsSamantha Simons, Daniel Abasolo, Paul Sauseng
Healthcare Technology Letters|November 27, 2015
Classification of Alzheimer's disease from quadratic sample entropy of electroencephalogramSamantha Simons, Daniel Abasolo, Javier Escudero
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 9, 2017
A comparison of the cluster-span threshold and the union of shortest paths as objective thresholds of EEG functional connectivity networks from Beta activity in Alzheimer's diseaseKeith Smith, Daniel Abasolo, Javier Escudero
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 24, 2009
On the application of the auto mutual information rate of decrease to biomedical signalsJavier Escudero, Roberto Hornero, Daniel Abasolo, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
Electroencephalogram Connectivity for the Diagnosis of Psychogenic Non-epileptic SeizuresChloe Hinchliffe, Mahinda Yogarajah, Lilian Tang, et al.
IEEE Transactions on Bio-Medical Engineering|March 14, 2017
Refined Composite Multiscale Dispersion Entropy and its Application to Biomedical SignalsHamed Azami, Mostafa Rostaghi, Daniel Abasolo, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 9, 2017
Inspection of short-time resting-state electroencephalogram functional networks in Alzheimer's diseaseJavier Escudero, Keith Smith, Hamed Azami, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 25, 2010
Optimized assessment of atrial fibrillation organization through suitable parameters of sample EntropyRaul Alcaraz, Daniel Abasolo, Roberto Hornero, et al.
Entropy (Basel, Switzerland)|October 28, 2025
EEG Complexity Analysis of Psychogenic Non-Epileptic and Epileptic Seizures Using Entropy and Machine LearningHesam Shokouh Alaei, Samaneh Kouchaki, Mahinda Yogarajah, et al.
Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference|February 7, 2007
Decreased Lempel-Ziv complexity in Alzheimer's disease patients' magnetoencephalogramsCarlos Gomez, Roberto Hornero, Daniel Abasolo, et al.
Pageof 4

Showing results (1-10 of 34) with videos related to

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Pageof 4
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
Volume conduction effects on bivariate Lempel-Ziv Complexity of Alzheimer's disease electroencephalogramsSamantha Simons, Daniel Abasolo, Paul Sauseng
Healthcare Technology Letters|November 27, 2015
Classification of Alzheimer's disease from quadratic sample entropy of electroencephalogramSamantha Simons, Daniel Abasolo, Javier Escudero
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 9, 2017
A comparison of the cluster-span threshold and the union of shortest paths as objective thresholds of EEG functional connectivity networks from Beta activity in Alzheimer's diseaseKeith Smith, Daniel Abasolo, Javier Escudero
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 24, 2009
On the application of the auto mutual information rate of decrease to biomedical signalsJavier Escudero, Roberto Hornero, Daniel Abasolo, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
Electroencephalogram Connectivity for the Diagnosis of Psychogenic Non-epileptic SeizuresChloe Hinchliffe, Mahinda Yogarajah, Lilian Tang, et al.
IEEE Transactions on Bio-Medical Engineering|March 14, 2017
Refined Composite Multiscale Dispersion Entropy and its Application to Biomedical SignalsHamed Azami, Mostafa Rostaghi, Daniel Abasolo, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 9, 2017
Inspection of short-time resting-state electroencephalogram functional networks in Alzheimer's diseaseJavier Escudero, Keith Smith, Hamed Azami, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 25, 2010
Optimized assessment of atrial fibrillation organization through suitable parameters of sample EntropyRaul Alcaraz, Daniel Abasolo, Roberto Hornero, et al.
Entropy (Basel, Switzerland)|October 28, 2025
EEG Complexity Analysis of Psychogenic Non-Epileptic and Epileptic Seizures Using Entropy and Machine LearningHesam Shokouh Alaei, Samaneh Kouchaki, Mahinda Yogarajah, et al.
Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference|February 7, 2007
Decreased Lempel-Ziv complexity in Alzheimer's disease patients' magnetoencephalogramsCarlos Gomez, Roberto Hornero, Daniel Abasolo, et al.
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