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|Title:||Design of a wearable mechatronic device to measure the wrist rigidity in Parkinson’s disease patients||Authors:||Raiano, Luigi
Di Pino, Giovanni
|Keywords:||Engineering::Mechanical engineering||Issue Date:||2018||Source:||Raiano, L., Di Pino, G., Noccaro, A., Accoto, D., & Formica, D. (2018). Design of a wearable mechatronic device to measure the wrist rigidity in Parkinson’s disease patients. Proceedings of 2018 7th IEEE International Conference on Biomedical Robotics and Biomechatronics (Biorob 2018), 497-502. doi:10.1109/BIOROB.2018.8487637||Abstract:||The aim of this work is to present a novel wearable mechatronic device (called PDMeter) designed to objectively assess the wrist rigidity in Parkinson's Disease (PD) patients. The system is low-weight, long-term wearable and portable in order to i) perform clinical assessments during Activities of Daily Living (ADLs) in unstructured environments, and ii) to provide several rigidity measurements per day. In this scenario, we defined two different working modalities: i) measurement mode, in which the system measures the wrist rigidity, and ii) backdrivable mode, in which it does not measure, but it has to be transparent for the user during ADLs. In this paper we present the overall mechatronic design of the PDMeter, including the kinematic structure, the actuation system, the sensory system (both force and position) and the control electronics. The overall structure is optimized in terms of dimension and weight: the design of the electronic system allow to integrate in a single compact PCB both the control system and the wireless communication with an external device (laptop or smartphone); the mechanical structure, characterized by one active degree of freedom and five passive ones, is entirely made of aluminium alloy (A16082), and the whole system with the electronics embedded has an overall mass of about 0.46 kg. Future efforts will focus on the implementation and testing of the most suitable algorithms to assess the wrist rigidity, and their validation in clinical trials.||URI:||https://hdl.handle.net/10356/142584||ISBN:||978-1-5386-8184-8||DOI:||10.1109/BIOROB.2018.8487637||Rights:||© 2018 IEEE. All rights reserved.||Fulltext Permission:||none||Fulltext Availability:||No Fulltext|
|Appears in Collections:||MAE Conference Papers|
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