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Sensors 2014, 14(2), 2012-2027; doi:10.3390/s140202012

Wearable Monitoring Devices for Assistive Technology: Case Studies in Post-Polio Syndrome

1
Design Department, Politecnico di Milano, via G. Durando 38/A, Milan 20158, Italy
2
SXT-Sistemi per Telemedicina s.r.l., via M. D'Oggiono 18/A, Lecco 23900, Italy
3
Villa Beretta" Rehabilitation Center, Valduce Hospital, Via N.Sauro, 17 - 23845 Costa Masnaga (LC), Italy
*
Author to whom correspondence should be addressed.
Received: 17 October 2013 / Revised: 16 January 2014 / Accepted: 17 January 2014 / Published: 24 January 2014
(This article belongs to the Special Issue Wearable Gait Sensors)
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Abstract

The correct choice and customization of an orthosis are crucial to obtain the best comfort and efficiency. This study explored the feasibility of a multivariate quantitative assessment of the functional efficiency of lower limb orthosis through a novel wearable system. Gait basographic parameters and energetic indexes were analysed during a Six-Minute Walking Test (6-MWT) through a cost-effective, non-invasive polygraph device, with a multichannel wireless transmission, that carried out electro-cardiograph (ECG); impedance-cardiograph (ICG); and lower-limb accelerations detection. Four subjects affected by Post-Polio Syndrome (PPS) were recruited. The wearable device and the semi-automatic post-processing software provided a novel set of objective data to assess the overall efficiency of the patient-orthosis system. Despite the small number of examined subjects, the results obtained with this new approach encourage the application of the method thus enlarging the dataset to validate this promising protocol and measuring system in supporting clinical decisions and out of a laboratory environment. View Full-Text
Keywords: wearable monitoring; lower-limb orthosis; post-polio syndrome; impedance cardiograph; six-minute walking test wearable monitoring; lower-limb orthosis; post-polio syndrome; impedance cardiograph; six-minute walking test
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Andreoni, G.; Mazzola, M.; Perego, P.; Standoli, C.E.; Manzoni, S.; Piccini, L.; Molteni, F. Wearable Monitoring Devices for Assistive Technology: Case Studies in Post-Polio Syndrome. Sensors 2014, 14, 2012-2027.

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