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 | |
| Publication status | Published - 2015 |
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Keywords
- Auditory feedback
- Freezing of gait
- Home monitoring of motion features
- Parkinson's disease
- Wearable wireless inertial sensors
ASJC Scopus subject areas
- Engineering(all)
Cite this
Smart sensing systems for the detection of human motion disorders. / Lorenzi, P.; Rao, R.; Romano, G.; Kita, A.; Serpa, M.; Filesi, F.; Parisi, R.; Suppa, A.; Bologna, M.; Berardelli, A.; Irrera, F.
In: Unknown Journal, Vol. 120, 2015, p. 324-327.Research output: Contribution to journal › Article
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TY - JOUR
T1 - Smart sensing systems for the detection of human motion disorders
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
Y1 - 2015
N2 - 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.
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
UR - http://www.scopus.com/inward/record.url?scp=84985038542&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84985038542&partnerID=8YFLogxK
U2 - 10.1016/j.proeng.2015.08.626
DO - 10.1016/j.proeng.2015.08.626
M3 - Article
AN - SCOPUS:84985038542
VL - 120
SP - 324
EP - 327
JO - Unknown Journal
JF - Unknown Journal
ER -