Research Article
Remote monitoring and rehabilitation for patients with neurological diseases
@INPROCEEDINGS{10.4108/icst.bodynets.2014.257005, author={Roberto NERINO and Claudia FERRARIS and Antonio CHIMIENTI and Giuseppe PETTITI and Daniele PIANU and Giovanni ALBANI and Laura CONTIN and Veronica CIMOLIN and Alessandro MAURO and Corrado AZZARO}, title={Remote monitoring and rehabilitation for patients with neurological diseases}, proceedings={9th International Conference on Body Area Networks}, publisher={ICST}, proceedings_a={BODYNETS}, year={2014}, month={11}, keywords={tele-rehabilitation upper limbs adaptive motor/cognitive training real-time hand tracking color glove rgb-d camera kinect© exergames neurological diseases automatic evaluation motion analysis ict platform cloud file sharing}, doi={10.4108/icst.bodynets.2014.257005} }
- Roberto NERINO
Claudia FERRARIS
Antonio CHIMIENTI
Giuseppe PETTITI
Daniele PIANU
Giovanni ALBANI
Laura CONTIN
Veronica CIMOLIN
Alessandro MAURO
Corrado AZZARO
Year: 2014
Remote monitoring and rehabilitation for patients with neurological diseases
BODYNETS
ACM
DOI: 10.4108/icst.bodynets.2014.257005
Abstract
In this paper we present an upper-limb tele-rehabilitation solution suitable for patients suffering motor impairments due to neurological diseases (e.g. Parkinson’s disease). The solution is based on patient subsystems connected to a clinician subsystem through a secure cloud platform. The patient subsystem is built around a novel Human Computer Interface (HCI) based on RGBDepth camera (e.g. Kinect©), a monitor and soft gloves with color markers. Important features of the HCI are the accuracy of realtime and fine-grained three-dimensional (3D) tracking of hands and fingers, low cost, suitability for motor impaired patients and large working volume. The patient subsystem software implements both standard UPDRS motor tests and exergames, providing automatic evaluations of patients’ performances about motor and cognitive functions. The clinician subsystem interface enables at any time the neurologists and the therapists to access data about their patients, evaluate their condition and get in touch with them if needed. Data produced by the patient-side subsystem during the rehabilitation sessions are stored in the data archiving sub-system on the cloud and can be reviewed by clinicians through the clinician subsystem.