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Authors: A. Kita 1 ; P. Lorenzi 1 ; G. Romano 1 ; R. Rao 1 ; R. Parisi 1 ; A. Suppa 2 ; M. Bologna 2 ; A. Berardelli 2 and F. Irrera 1

Affiliations: 1 Sapienza University of Rome, Italy ; 2 Sapienza University of Rome and IRCCS Neuromed, Italy

Keyword(s): Wearable Wireless Inertial Sensors, Motion Features, Freezing of Gait, Neural Network Algorithm, Time based Analysis, Parkinson’s Disease, Rhythmic Auditory Stimulation.

Related Ontology Subjects/Areas/Topics: Biomedical Engineering ; Biomedical Equipment ; Biomedical Instruments and Devices ; Biomedical Sensors ; Devices ; Health Monitoring Devices ; Human-Computer Interaction ; Physiological Computing Systems

Abstract: We propose two different wearable wireless sensing systems based on Inertial Measurement Units for the home monitoring of specific symptoms of the Parkinson’s disease. In one configuration just one sensor is inserted in a headset, in the other configuration two sensors are positioned on the patient’s shins. They recognize and classify noticeable motion disorders potentially dangerous for patients and give an audio feedback. The systems use dedicated algorithms for real time processing of the raw signals from accelerometers and gyroscopes, one of which is based on an artificial neural network and another on a time-based analysis. The headset system detects satisfactorily a wide class of motion irregularities including the trunk disorders, but is poorly reliable on Parkinson’s patients. The other system with sensors on the shins provides an early detection of the freezing of gait with excellent performance in terms of sensitivity and precision, and timely provides a rhythmic auditory s timulation to the patient for releasing the involuntary block state. (More)

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Paper citation in several formats:
Kita, A.; Lorenzi, P.; Romano, G.; Rao, R.; Parisi, R.; Suppa, A.; Bologna, M.; Berardelli, A. and Irrera, F. (2016). Smart Sensing System for the Detection of Specific Human Motion Symptoms of the Parkinson’s Disease. In Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016) - BIODEVICES; ISBN 978-989-758-170-0; ISSN 2184-4305, SciTePress, pages 152-159. DOI: 10.5220/0005666801520159

@conference{biodevices16,
author={A. Kita. and P. Lorenzi. and G. Romano. and R. Rao. and R. Parisi. and A. Suppa. and M. Bologna. and A. Berardelli. and F. Irrera.},
title={Smart Sensing System for the Detection of Specific Human Motion Symptoms of the Parkinson’s Disease},
booktitle={Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016) - BIODEVICES},
year={2016},
pages={152-159},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005666801520159},
isbn={978-989-758-170-0},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016) - BIODEVICES
TI - Smart Sensing System for the Detection of Specific Human Motion Symptoms of the Parkinson’s Disease
SN - 978-989-758-170-0
IS - 2184-4305
AU - Kita, A.
AU - Lorenzi, P.
AU - Romano, G.
AU - Rao, R.
AU - Parisi, R.
AU - Suppa, A.
AU - Bologna, M.
AU - Berardelli, A.
AU - Irrera, F.
PY - 2016
SP - 152
EP - 159
DO - 10.5220/0005666801520159
PB - SciTePress