Addressing voice recording replications for tracking Parkinson’s disease progression

Tracking Parkinson’s disease symptom severity by using characteristics automatically extracted from voice recordings is a very interesting and challenging problem. In this context, voice features are automatically extracted from multiple voice recordings from the same subjects. In principle, for eac...

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Veröffentlicht in:	Medical & biological engineering & computing 2017-03, Vol.55 (3), p.365-373
Hauptverfasser:	Naranjo, Lizbeth, Pérez, Carlos J., Martín, Jacinto
Format:	Artikel
Sprache:	eng
Schlagworte:	Alzheimer's disease Bayesian analysis Biomedical and Life Sciences Biomedical Engineering and Bioengineering Biomedicine Computation Computer Applications Databases as Topic Disease Disease Progression Feature selection Female Human Physiology Humans Imaging Linear Models Male Motor ability Original Article Parkinson Disease - pathology Parkinson's disease Radiology Recording Regression Regression analysis Replication Reproducibility of Results Speech Speeches Tape Recording Time measurement Tracking Voice Voice recognition
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