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Automated analysis of connected speech reveals early biomarkers of Parkinson's disease in patients with rapid eye movement sleep behaviour disorder

Jan Hlavnička, Roman Čmejla, Tereza Tykalová, Karel Šonka, Evžen Růžička, Jan Rusz
2017 Scientific Reports  
We compared speech recordings of 50 subjects with rapid eye movement sleep behaviour disorder (RBD), 30 newly diagnosed, untreated PD patients and 50 healthy controls, and showed that subliminal parkinsonian  ...  For generations, the evaluation of speech abnormalities in neurodegenerative disorders such as Parkinson's disease (PD) has been limited to perceptual tests or user-controlled laboratory analysis based  ...  Acknowledgements This study was supported by the Ministry of Health of the Czech Republic, grant no. 15-28038A and grant no.  ... 
doi:10.1038/s41598-017-00047-5 pmid:28144037 pmcid:PMC5428345 fatcat:gxrt33mn6ne7te37gngmbkjczq

Robust and complex approach of pathological speech signal analysis

Jiri Mekyska, Eva Janousova, Pedro Gomez-Vilda, Zdenek Smekal, Irena Rektorova, Ilona Eliasova, Milena Kostalova, Martina Mrackova, Jesus B. Alonso-Hernandez, Marcos Faundez-Zanuy, Karmele López-de-Ipiña
2015 Neurocomputing  
It provides a description of 92 speech features where some of them are already widely used in this field of science and some of them have not been tried yet (they come from different areas of speech signal  ...  This paper presents a study of the approaches in the state-of-the-art in the field of pathological speech signal analysis with a special focus on parametrization techniques.  ...  Acknowledgments This work was supported by project NT13499 (Speech, its impairment and cognitive performance in References  ... 
doi:10.1016/j.neucom.2015.02.085 fatcat:nhd5qbpfcjaernkqg42tgxq5pa

Detection and differentiation of ataxic and hypokinetic dysarthria in cerebellar ataxia and parkinsonian disorders via wave splitting and integrating neural networks

Joomee Song, Ju Hwan Lee, Jungeun Choi, Mee Kyung Suh, Myung Jin Chung, Young Hun Kim, Jeongho Park, Seung Ho Choo, Ji Hyun Son, Dong Yeong Lee, Jong Hyeon Ahn, Jinyoung Youn (+3 others)
2022 PLoS ONE  
Our model can provide effective guidelines for screening related diseases and differential diagnosis of neurodegenerative diseases.  ...  The reading and numbering task recordings were classified with 5-fold cross-validation using PWSI-AI-AC as follows: hypokinetic dysarthria vs. others (area under the curve: 0.92 ± 0.01 and 0.92 ± 0.02)  ...  GMM and MFCC were used in detecting Huntington's disease by learning acoustic and lexical features of voice recordings [17] .  ... 
doi:10.1371/journal.pone.0268337 pmid:35658000 pmcid:PMC9165837 fatcat:fxa5ki2eobfm5jyx5gaeth4ml4

A Survey on Mobile Social Signal Processing

Niklas Palaghias, Seyed Amir Hoseinitabatabaei, Michele Nati, Alexander Gluhak, Klaus Moessner
2016 ACM Computing Surveys  
-Evaluate and verify the reliability of the approach in a real-world environment based on ground truth.  ...  Initially we expose the terminology used in the area and introduce a concrete architecture for social signal processing applications on mobile phones, constituted by sensing, social interaction detection  ...  ACKNOWLEDGMENTS This work is supported by European Commission through the FP7-SOCIOTAL-609112 EU Projects and also by the joint EU and Ministry of Internal Affairs and Communication (MIC, Japan), Research  ... 
doi:10.1145/2893487 fatcat:sijw4ls7wzgvnijwpifqwatdfa

Parkinson's disease detection using voice recordings and Deep Learning [article]

Foteini Vasilopoulou, National Technological University Of Athens
2022
and 20 healthy subjects, and [26] with 40 PD patients and 40 people in the control group.  ...  Additionally, a time series of biomedical data gathered from people with Parkinson's disease over a predefined period can be used to train TabNet.  ... 
doi:10.26240/heal.ntua.22783 fatcat:hduz6rbpynfs7opu33mfwjuwxa

A Study of Ensemble Machine Learning Model Architectures for Parkinson's Disease Detection and Freezing of Gait Forecasting

Tahjid Ashfaque Mostafa
2021
The existing approach involves a combination physical examinations, neuroimaging and demographic analysis performed by expert Contents Acronyms xii vii 4 Freezing Of Gait Detection and Prediction 4  ...  Parkinson's Disease (PD) is a major progressive neurological disorder and is extremely difficult to diagnose PD [91] since there are no defined medical tests for this task.  ...  With increase in age, even healthy people face a higher risk of cognitive impairment and brain diseases, eventually crossing a threshold for appearance of symptoms.  ... 
doi:10.7939/r3-ky9h-hw53 fatcat:f6lborf4vngutdxywy3d2h4fei

Heterogeneous recognition of bioacoustic signals for human-machine interfaces

Michael Mace, Ravi Vaidyanathan
2013
The real-time decoding subsystem uses a multichannel heterogeneous ensemble architecture which fuses the output from a diverse set of these individual discrimination models.  ...  Such a strategy is useful when analysing signals which have diverse characteristics, false positives are prevalent and have strong consequences, and when there is limited training data available.  ...  Similar methods based on filter banks have also been proposed.  ... 
doi:10.25560/11095 fatcat:jspmxqsypnf6ze3ss7x7atv2mu