Postural Tremors

Daneault, Jean‐François; Carignan, Benoit; Rahimi, Fariborz; Sadikot, Abbas F.; Duval, Christian

doi:10.1007/978-1-4614-4027-7_8

Cited by 4 publications

(2 citation statements)

References 118 publications

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“…Next, we simulated the tremor motion in hand as a sinusoidal function with an amplitude of ±8.0mm and a frequency of 8Hz. These parameters are similar to those discussed by Daneault et al (2013). We modelled the tremor motion as linear oscillations occurring only in the vertical direction.…”

Section: Device Simulationmentioning

confidence: 89%

A Non-Invasive, Soft Robotic Wearable Glove to Attenuate Hand Tremors

Youhanaie¹,

Hashem

2022

J Stud Res

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Hand tremors are a widespread medical condition that decreases a patient’s quality of life. Due to uncontrollable hand shaking, patients have difficulty completing essential daily tasks. Many also experience embarrassment and anxiety in social settings, which negatively affects many areas of their lives. Current treatments are often invasive, ineffective, and have unwanted side effects. Some non-invasive solutions excessively limit hand motion, making them ineffective in helping the wearer complete tasks, while others are highly visible and bulky. This paper presents a minimalistic, non-invasive, wearable glove that uses active feedback control and miniature, soft robotic pneumatic actuators to attenuate hand tremors while allowing freedom of movement in other directions. We 3D-modelled the hand and wrist and designed our glove and actuators using Fusion 360. These models were imported into Matlab and Simulink, where we simulated the hand tremor, actuation, and control system using spatial contact forces. To actively reduce the tremor amplitude, we used an accelerometer to detect the onset of tremor motion and create a real-time estimate of the hand’s position. This estimate drove a closed-loop PI controller that produced force commands for the pneumatic actuators, which applied a counterforce opposing the direction of hand motion. Based on our simulation results, our active glove control system design successfully reduced the hand tremor amplitude by 75%, from a baseline of ±8.0mm to a significantly improved amplitude of ±2.0mm. These results indicate that our proposed solution could effectively attenuate hand tremors to a level that would increase the wearer’s quality of life.

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Section: Device Simulationmentioning

confidence: 89%

A Non-Invasive, Soft Robotic Wearable Glove to Attenuate Hand Tremors

Youhanaie¹,

Hashem

2022

J Stud Res

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“…Essential tremor (ET) is a movement disorder where individuals exhibit bilateral, persistent postural, or kinetic upper-limb tremor ( 1 – 4 ) that can also be observed during rest in some cases ( 4 – 9 ). Tremor amplitude varies greatly between patients and also within one patient from day to day, and within a given day ( 10 , 11 ).…”

Section: Introductionmentioning

confidence: 99%

Could Wearable and Mobile Technology Improve the Management of Essential Tremor?

Daneault

2018

Front. Neurol.

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Essential tremor (ET) is the most common movement disorder. Individuals exhibit postural and kinetic tremor that worsens over time and patients may also exhibit other motor and non-motor symptoms. While millions of people are affected by this disorder worldwide, several barriers impede an optimal clinical management of symptoms. In this paper, we discuss the impact of ET on patients and review major issues to the optimal management of ET; from the side-effects and limited efficacy of current medical treatments to the limited number of people who seek treatment for their tremor. Then, we propose seven different areas within which mobile and wearable technology may improve the clinical management of ET and review the current state of research in these areas.

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Measuring Tremor with a Smartphone

Carignan

Daneault

Duval

2014

Methods in Molecular Biology

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Tremor is the most common movement disorder. However; characterizing it in large populations is not easily accomplished since current methodologies are not adapted to large-scale field studies. To overcome this challenge, a smartphone application was developed as a stand-alone platform to assess tremor. The current book chapter details the steps taken to validate this mobile application. Data recorded with the smartphone was analyzed online and offline as well as compared to laboratory equipment and a clinical scale. This allowed for the identification of the tremor properties that could reliably be characterized with the smartphone as well as the limits of the hardware. It also allowed for the identification of tasks that could be performed with the smartphone when tremor was being assessed. Finally, we confirmed the clinical relevance of the results provided by the smartphone application.

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Postural Tremors

Cited by 4 publications

References 118 publications

A Non-Invasive, Soft Robotic Wearable Glove to Attenuate Hand Tremors

A Non-Invasive, Soft Robotic Wearable Glove to Attenuate Hand Tremors

Could Wearable and Mobile Technology Improve the Management of Essential Tremor?

Measuring Tremor with a Smartphone

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