Spiros Konitsiotis

Orcid: 0000-0002-5217-1317

According to our database1, Spiros Konitsiotis authored at least 44 papers between 2005 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2023
Clinical Evaluation in Parkinson's Disease: Is the Golden Standard Shiny Enough?
Sensors, 2023

Feasibility of an mHealth Closed-Loop System for the Optimization of Parkinson's Disease Treatment.
Proceedings of the 8th South-East Europe Design Automation, 2023

2022
Segmentation and volume quantification of MR Images for the detection and monitoring multiple sclerosis progression.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Multiple Sclerosis Severity Estimation and Progression Prediction Based on Machine Learning Techniques.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

White Matter Lesion Segmentation for Multiple Sclerosis Patients implementing deep learning.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021
Foot Pressure Wearable Sensors for Freezing of Gait Detection in Parkinson's Disease.
Sensors, 2021

Configurable Offline Sensor Placement Identification for a Medical Device Monitoring Parkinson's Disease.
Sensors, 2021

Design of a clinical decision support system powered by mhealth for the management of Parkinson's disease.
Proceedings of the 6th South-East Europe Design Automation, 2021

Exploring the knowledge and views of Greek Neurologists regarding Palliative Care Topics.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Clustering based Segmentation of MR Images for the Delineation and Monitoring of Multiple Sclerosis Progression.
Proceedings of the 21st IEEE International Conference on Bioinformatics and Bioengineering, 2021

2020
Designing a mHealth clinical decision support system for Parkinson's disease: a theoretically grounded user needs approach.
BMC Medical Informatics Decis. Mak., 2020

Decision Support for Medication Change of Parkinson's Disease Patients.
Comput. Methods Programs Biomed., 2020

Prognostic factors of Rapid symptoms progression in patients with newly diagnosed parkinson's disease.
Artif. Intell. Medicine, 2020

Automatic Absence Seizures Detection in EEG signals: An Unsupervised Module.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

On-Body Sensor Position Identification with a Simple, Robust and Accurate Method, Validated in Patients with Parkinson's Disease.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019
ProMiSi Architecture - A Tool for the Estimation of the Progression of Multiple Sclerosis Disease using MRI.
Proceedings of the 19th IEEE International Conference on Bioinformatics and Bioengineering, 2019

Unsupervised Seizure Detection based on Rhythmical Activity and Spike Detection in EEG Signals.
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019

2018
A decision support system for Parkinson disease management: expert models for suggesting medication change.
J. Decis. Syst., 2018

A Long Short-Term Memory deep learning network for the prediction of epileptic seizures using EEG signals.
Comput. Biol. Medicine, 2018

A robust unsupervised epileptic seizure detection methodology to accelerate large EEG database evaluation.
Biomed. Signal Process. Control., 2018

Symptoms and medications change patterns for Parkinson's disease patients stratification.
Artif. Intell. Medicine, 2018

An Unsupervised Methodology for the Detection of Epileptic Seizures Using EEG Signals: A Multi-Dataset Evaluation.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Unsupervised detection of epileptic seizures from EEG signals: A channel-specific analysis of long-term recordings.
Proceedings of the 2018 IEEE EMBS International Conference on Biomedical & Health Informatics, 2018

A decision support system based on rapid progression rules to enhance baseline evaluation of Parkinson's disease patients.
Proceedings of the 2018 IEEE EMBS International Conference on Biomedical & Health Informatics, 2018

2017
Predicting rapid progression of Parkinson's Disease at baseline patients evaluation.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

Wavelet Based Classification of Epileptic Seizures in EEG Signals.
Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017

EEG Classification and Short-Term Epilepsy Prognosis Using Brain Computer Interface Software.
Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017

Mining motor symptoms UPDRS data of Parkinson's disease patients for the development of Hoehn and Yahr estimation decision support system.
Proceedings of the 2017 IEEE EMBS International Conference on Biomedical & Health Informatics, 2017

Combining Multitask Learning and Short Time Series Analysis in Parkinson's Disease Patients Stratification.
Proceedings of the Artificial Intelligence in Medicine, 2017

2016
Tremor UPDRS estimation in home environment.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

ALZCARE: An information system for screening, management and tracking of demented patients.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Monitoring of motor and non-motor symptoms of Parkinson's disease through a mHealth platform.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015
An unsupervised methodology for the detection of epileptic seizures in long-term EEG signals.
Proceedings of the 15th IEEE International Conference on Bioinformatics and Bioengineering, 2015

2014
PERFORM: A System for Monitoring, Assessment and Management of Patients with Parkinson's Disease.
Sensors, 2014

A wearable system for long-term ubiquitous monitoring of common motor symptoms in patients with Parkinson's disease.
Proceedings of IEEE-EMBS International Conference on Biomedical and Health Informatics, 2014

2013
Automatic detection of freezing of gait events in patients with Parkinson's disease.
Comput. Methods Programs Biomed., 2013

2012
Assessment of Tremor Activity in the Parkinson's Disease Using a Set of Wearable Sensors.
IEEE Trans. Inf. Technol. Biomed., 2012

Using partial decision trees to predict Parkinson's symptoms: A new approach for diagnosis and therapy in patients suffering from Parkinson's disease.
Comput. Biol. Medicine, 2012

An automated methodology for levodopa-induced dyskinesia: Assessment based on gyroscope and accelerometer signals.
Artif. Intell. Medicine, 2012

2011
On automated assessment of Levodopa-induced dyskinesia in Parkinson's disease.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2010
On Assessing Motor Disorders in Parkinson's Disease.
Proceedings of the Wireless Mobile Communication and Healthcare, 2010

2009
PERFORM: A system for the monitoring and management of persons with chronic motor neurodegenerative disorders: A study on Parkinson's Disease and Amyotrophic Lateral Sclerosis.
Proceedings of the 3rd International Conference on Pervasive Computing Technologies for Healthcare, 2009

2006
EEG Transient Event Detection and Classification Using Association Rules.
IEEE Trans. Inf. Technol. Biomed., 2006

2005
A Data Mining Based Approach for the EEG Transient Event Detection and Classification.
Proceedings of the 18th IEEE Symposium on Computer-Based Medical Systems (CBMS 2005), 2005


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