New approaches for alzheimer's disease diagnosis based on automatic spontaneous speech analysis and emotional temperature

  • Authors:

  • Karmele López-de-Ipiña;Jesús B. Alonso;Nora Barroso;Marcos Faundez-Zanuy;Miriam Ecay;Jordi Solé-Casals;Carlos M. Travieso;Ainara Estanga;Aitzol Ezeiza

  • Affiliations:

  • System Engineering and Automation Department, University of the Basque Country, Donostia, Spain;IDeTIC-DSC, Universidad de Las Palmas de Gran Canaria (ULPGC), Spain;System Engineering and Automation Department, University of the Basque Country, Donostia, Spain;Escola Universitària Politècnica de Mataró (UPC), Spain;Neurology Department, CITA-Alzheimer Foundation, Spain;Digital Technologies Group, Universitat de Vic, Spain;IDeTIC-DSC, Universidad de Las Palmas de Gran Canaria (ULPGC), Spain;Neurology Department, CITA-Alzheimer Foundation, Spain;System Engineering and Automation Department, University of the Basque Country, Donostia, Spain

  • Venue:
  • IWAAL'12 Proceedings of the 4th international conference on Ambient Assisted Living and Home Care
  • Year:
  • 2012

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Abstract

Alzheimer Disease (AD) is one of the most common dementia and their socio-economic relevance is growing. Its diagnosis is sometimes made by excluding other dementias, but definitive confirmation must await the study post-mortem with brain tissue of the patient. According to internationally accepted criteria, we can only speak about probable or possible Alzheimer's disease. The purpose of this paper is to contribute to improve early diagnosis of dementia and severity from automatic analysis performed by non-invasive automated intelligent methods. The methods selected in this case are Automatic Spontaneous Speech Analysis (ASSA) and Emotional Temperature (ET). These methodologies have the great advantage of being non invasive, low cost methodologies and have no side effects.