Smart sensing systems for the detection of human motion disorders

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

doi:10.1016/j.proeng.2015.08.626

Smart sensing systems for the detection of human motion disorders

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

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Research output: Contribution to journal › Article › peer-review

Abstract

We propose a wearable wireless sensing system for the home monitoring of specific symptoms of the Parkinson's disease. The system is composed of inertial sensors, a station for the real time processing (smartphone/PC/tablet) and dedicated algorithms. The recognition algorithms use fusion of raw signals from accelerometers and gyroscopes. The system provides a robust and reliable detection of the involuntary freezing of gait, which is a common and dangerous symptom of the Parkinson's disease causing falls. The proposed system provides an early detection of the freezing of gate at its outset with excellent performance in terms of sensitivity and precision, and timely provides an audio feedback to the patient for releasing the involuntary block state.

Original language	English
Pages (from-to)	324-327
Number of pages	4
Journal	Unknown Journal
Volume	120
DOIs	https://doi.org/10.1016/j.proeng.2015.08.626
Publication status	Published - 2015

Keywords

Auditory feedback
Freezing of gait
Home monitoring of motion features
Parkinson's disease
Wearable wireless inertial sensors

ASJC Scopus subject areas

Engineering(all)

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abstract = "We propose a wearable wireless sensing system for the home monitoring of specific symptoms of the Parkinson's disease. The system is composed of inertial sensors, a station for the real time processing (smartphone/PC/tablet) and dedicated algorithms. The recognition algorithms use fusion of raw signals from accelerometers and gyroscopes. The system provides a robust and reliable detection of the involuntary freezing of gait, which is a common and dangerous symptom of the Parkinson's disease causing falls. The proposed system provides an early detection of the freezing of gate at its outset with excellent performance in terms of sensitivity and precision, and timely provides an audio feedback to the patient for releasing the involuntary block state.",

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AU - Lorenzi, P.

AU - Rao, R.

AU - Romano, G.

AU - Kita, A.

AU - Serpa, M.

AU - Filesi, F.

AU - Parisi, R.

AU - Suppa, A.

AU - Bologna, M.

AU - Berardelli, A.

AU - Irrera, F.

PY - 2015

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AB - We propose a wearable wireless sensing system for the home monitoring of specific symptoms of the Parkinson's disease. The system is composed of inertial sensors, a station for the real time processing (smartphone/PC/tablet) and dedicated algorithms. The recognition algorithms use fusion of raw signals from accelerometers and gyroscopes. The system provides a robust and reliable detection of the involuntary freezing of gait, which is a common and dangerous symptom of the Parkinson's disease causing falls. The proposed system provides an early detection of the freezing of gate at its outset with excellent performance in terms of sensitivity and precision, and timely provides an audio feedback to the patient for releasing the involuntary block state.

KW - Auditory feedback

KW - Freezing of gait

KW - Home monitoring of motion features

KW - Parkinson's disease

KW - Wearable wireless inertial sensors

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