@inProceedings{bjorkner-etal-2017-voice-256522, title = {Voice acoustic parameters for detecting signs of early cognitive impairment}, abstract = {Aiding the detection of very early cognitive impairment in Alzheimer's disease (AD) and assessing the disease progression are essential foundations for effective psychological assessment, diagnosis and planning. Efficient tools for routine dementia screening in primary health care, particularly non-invasive and cost-effective methods, are desirable. The aim of this study is to find out if voice acoustic analysis can be a useful tool for detecting signs of early cognitive impairment.}, booktitle = {PEVOC (PanEuropean Voice Conference) 12, August 30th - September 1st 2017, Ghent, Belgium}, author = {Björkner, Eva and Lundholm Fors, Kristina and Kokkinakis, Dimitrios and Nordlund, Arto}, year = {2017}, }