TY - JOUR
T1 - A handwriting-based protocol for assessing neurodegenerative dementia
AU - Impedovo, Donato
AU - Pirlo, Giuseppe
AU - Vessio, Gennaro
AU - Angelillo, Maria Teresa
PY - 2019
Y1 - 2019
N2 - Handwriting dynamics is relevant to discriminate people affected by neurodegenerative dementia from healthy subjects. This can be possible by administering simple and easy-to-perform handwriting/drawing tasks on digitizing tablets provided with electronic pens. Encouraging results have been recently obtained; however, the research community still lacks an acquisition protocol aimed at (i) collecting different traits useful for research purposes and (ii) supporting neurologists in their daily activities. This work proposes a handwriting-based protocol that integrates handwriting/drawing tasks and a digitized version of standard cognitive and functional tests already accepted, tested, and used by the neurological community. The protocol takes the form of a modular framework which facilitates the modification, deletion, and incorporation of new tasks in accordance with specific requirements. A preliminary evaluation of the protocol has been carried out to assess its usability. Successively, the protocol has been administered to more than 100 elderly MCI and match controlled subjects. The proposed protocol intends to provide a “cognitive model” for evaluating the relationship between cognitive functions and handwriting processes in healthy subjects as well as in cognitively impaired patients. The long-term goal of this research is the development of an easy-to-use and non-invasive methodology for detecting and monitoring neurodegenerative dementia during screening and follow-up.
AB - Handwriting dynamics is relevant to discriminate people affected by neurodegenerative dementia from healthy subjects. This can be possible by administering simple and easy-to-perform handwriting/drawing tasks on digitizing tablets provided with electronic pens. Encouraging results have been recently obtained; however, the research community still lacks an acquisition protocol aimed at (i) collecting different traits useful for research purposes and (ii) supporting neurologists in their daily activities. This work proposes a handwriting-based protocol that integrates handwriting/drawing tasks and a digitized version of standard cognitive and functional tests already accepted, tested, and used by the neurological community. The protocol takes the form of a modular framework which facilitates the modification, deletion, and incorporation of new tasks in accordance with specific requirements. A preliminary evaluation of the protocol has been carried out to assess its usability. Successively, the protocol has been administered to more than 100 elderly MCI and match controlled subjects. The proposed protocol intends to provide a “cognitive model” for evaluating the relationship between cognitive functions and handwriting processes in healthy subjects as well as in cognitively impaired patients. The long-term goal of this research is the development of an easy-to-use and non-invasive methodology for detecting and monitoring neurodegenerative dementia during screening and follow-up.
KW - Acquisition protocol
KW - Computer-aided diagnosis
KW - Handwriting analysis
KW - Handwriting behavior
KW - Neurodegenerative disease
KW - Acquisition protocol
KW - Computer-aided diagnosis
KW - Handwriting analysis
KW - Handwriting behavior
KW - Neurodegenerative disease
UR - http://hdl.handle.net/10807/149726
UR - http://www.springer.com/biomed/neuroscience/journal/12559
U2 - 10.1007/s12559-019-09642-2
DO - 10.1007/s12559-019-09642-2
M3 - Article
SN - 1866-9956
VL - 11
SP - 576
EP - 586
JO - Cognitive Computation
JF - Cognitive Computation
ER -