Smart Sensing System for the Detection of Specific Human Motion Symptoms of the Parkinson’s Disease

A. Kita, P. Lorenzi, G. Romano, R. Rao, R. Parisi, A. Suppa, M. Bologna, A. Berardelli, F. Irrera

2016

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 stimulation to the patient for releasing the involuntary block state.

Paper Citation

in Harvard Style

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 - Volume 1: BIODEVICES, (BIOSTEC 2016) ISBN 978-989-758-170-0, pages 152-159. DOI: 10.5220/0005666801520159

in Bibtex Style

@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 - Volume 1: BIODEVICES, (BIOSTEC 2016)},
year={2016},
pages={152-159},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005666801520159},
isbn={978-989-758-170-0},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 1: BIODEVICES, (BIOSTEC 2016)
TI - Smart Sensing System for the Detection of Specific Human Motion Symptoms of the Parkinson’s Disease
SN - 978-989-758-170-0
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