title: DIMETER: a haptic master device for tremor diagnosis in neurodegenerative diseases.
abstract: In this study, a device based on patient motion capture is developed for the reliable and non-invasive diagnosis of neurodegenerative diseases. The primary objective of this study is the classification of differential diagnosis between Parkinson's disease (PD) and essential tremor (ET). The DIMETER system has been used in the diagnoses of a significant number of patients at two medical centers in Spain. Research studies on classification have primarily focused on the use of well-known and reliable diagnosis criteria developed by qualified personnel. Here, we first present a literature review of the methods used to detect and evaluate tremor; then, we describe the DIMETER device in terms of the software and hardware used and the battery of tests developed to obtain the best diagnoses. All of the tests are classified and described in terms of the characteristics of the data obtained. A list of parameters obtained from the tests is provided, and the results obtained using multilayer perceptron (MLP) neural networks are presented and analyzed.
authors.affiliation: Centre for Automation and Robotics UPM-CSIC, C/José Gutierrez Abascal 2, E-28006 Madrid, Spain. roberto.gonzalez@upm.es.
authors.forename: Roberto
authors.initials: R
authors.lastname: González
authors.affiliation: Centre for Automation and Robotics UPM-CSIC, C/José Gutierrez Abascal 2, E-28006 Madrid, Spain. antonio.barrientos@upm.es.
authors.forename: Antonio
authors.initials: A
authors.lastname: Barrientos
authors.affiliation: Centre for Automation and Robotics UPM-CSIC, C/José Gutierrez Abascal 2, E-28006 Madrid, Spain. j.cerro@upm.es.
authors.forename: Jaime
authors.initials: J
authors.lastname: del Cerro
authors.affiliation: ETSIDI-UPM, C/Ronda de Valencia 3, E-28012 Madrid, Spain. benitomaria.coca.hernandez@alumnos.upm.es.
authors.forename: Benito
authors.initials: B
authors.lastname: Coca
mesh_terms: D001696:Biomechanical Phenomena; D003943:Diagnostic Techniques, Neurological / Q000295:instrumentation*; D006801:Humans; D009068:Movement; D016571:Neural Networks, Computer; D019636:Neurodegenerative Diseases / Q000175:diagnosis*; D010363:Pattern Recognition, Automated; D012984:Software; D014110:Touch; D014202:Tremor / Q000175:diagnosis*