Using Wearable Sensor Systems for Objective Assessment of Parkinson’s Disease

Erika Rovini, Dario Esposito, Carlo Maremmani, Paolo Bongioanni, Filippo Cavallo
Abstract:
This paper presents a novel wearable sensor system based on the integration of miniaturised IMUs for fine hand movement analysis. The system, named SensHand V1, is composed of full 9-axis inertial sensors, placed on the fingers and wrist, which are managed by a cortex-M3 microcontroller. The acquired data are sent to a data logger through the use of Bluetooth communication. In this paper, the system is used for the objective diagnosis of Parkinson's disease, which is commonly assessed by neurologists through visual examination of motor tasks and semi-quantitative rating scales. Here, these motor tasks are also assessed using the SensHand V1, and then compared with the subjective metrics. Results demonstrate that the system is adequate to support neurologists in diagnostic procedures and allows for an objective evaluation of the disease.
Keywords:
Wearable sensors, Inertial Measurement Unit, Parkinson's disease diagnosis, Ring sensor, Movement analysis
Download:
IMEKO-TC4-2014-341.pdf
DOI:
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Event details
IMEKO TC:
TC4
Event name:
TC4 Symposium 2014
Title:

20th IMEKO TC4 Symposium on Measurements of Electrical Quantities (together with 18th TC4 International Workshop on ADC and DCA Modeling and Testing, IWADC)
"Research on Electrical and Electronic Measurement for the Economic Upturn"

Place:
Benevento, ITALY
Time:
15 September 2014 - 17 September 2014