Design of a wearable mechatronic device to measure the wrist rigidity in Parkinson’s disease patients

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...

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Main Authors: Raiano, Luigi, Di Pino, Giovanni, Noccaro, Alessia, Accoto, Dino, Formica, Domenico
Other Authors: School of Mechanical and Aerospace Engineering
Format: Conference or Workshop Item
Language:English
Published: 2020
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Online Access:https://hdl.handle.net/10356/142584
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1425842020-06-25T01:29:58Z Design of a wearable mechatronic device to measure the wrist rigidity in Parkinson’s disease patients Raiano, Luigi Di Pino, Giovanni Noccaro, Alessia Accoto, Dino Formica, Domenico School of Mechanical and Aerospace Engineering 2018 7th IEEE International Conference on Biomedical Robotics and Biomechatronics (Biorob 2018) Engineering::Mechanical engineering Wrist Actuators 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. 2020-06-25T01:29:58Z 2020-06-25T01:29:58Z 2018 Conference Paper 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 978-1-5386-8184-8 https://hdl.handle.net/10356/142584 10.1109/BIOROB.2018.8487637 2-s2.0-85056582366 497 502 en © 2018 IEEE. All rights reserved.
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic Engineering::Mechanical engineering
Wrist
Actuators
spellingShingle Engineering::Mechanical engineering
Wrist
Actuators
Raiano, Luigi
Di Pino, Giovanni
Noccaro, Alessia
Accoto, Dino
Formica, Domenico
Design of a wearable mechatronic device to measure the wrist rigidity in Parkinson’s disease patients
description 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.
author2 School of Mechanical and Aerospace Engineering
author_facet School of Mechanical and Aerospace Engineering
Raiano, Luigi
Di Pino, Giovanni
Noccaro, Alessia
Accoto, Dino
Formica, Domenico
format Conference or Workshop Item
author Raiano, Luigi
Di Pino, Giovanni
Noccaro, Alessia
Accoto, Dino
Formica, Domenico
author_sort Raiano, Luigi
title Design of a wearable mechatronic device to measure the wrist rigidity in Parkinson’s disease patients
title_short Design of a wearable mechatronic device to measure the wrist rigidity in Parkinson’s disease patients
title_full Design of a wearable mechatronic device to measure the wrist rigidity in Parkinson’s disease patients
title_fullStr Design of a wearable mechatronic device to measure the wrist rigidity in Parkinson’s disease patients
title_full_unstemmed Design of a wearable mechatronic device to measure the wrist rigidity in Parkinson’s disease patients
title_sort design of a wearable mechatronic device to measure the wrist rigidity in parkinson’s disease patients
publishDate 2020
url https://hdl.handle.net/10356/142584
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