Category: News in PARK technology

Abstracts of new publications and commercialized product information.

GaitAssist: a wearable assistant for gait training and rehabilitation in Parkinson diesae

Many patients with Parkinson’s disease suffer from short periods during which they cannot continue walking, the so-called freezing of gait. Patients can learn to use rhythmic auditory sounds as support during these episodes. We developed GaitAssist, a personalized wearable system for freezing of gait support, that enables training in unsupervised environments. GaitAssist detects freezing episodes …

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Motion sensor strategies for automated optimization of deep brain stimulation in Parkinson’s disease

Background: Deep brain stimulation (DBS) is a well-established treatment for Parkinson’s disease (PD). Optimization of DBS settings can be a challenge due to the number of variables that must be considered, including presence of multiple motor signs, side effects, and battery life. Methods: Nine PD subjects visited the clinic for programming at approximately 1, 2, …

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mPower: Mobile Parkinson Disease Study

The mPower is a unique IPhone application. that uses a mix of surveys and tasks that activate phone sensors to collect and track health and symptoms of PD progression – like dexterity, balance or gait. Our goals are to learn about the variations of PD, to improve the way we describe these variations …

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Diagnosis by keyboard

Analyzing people’s keystrokes as they type on a computer keyboard can reveal a great deal of information about the state of their motor function, according to a new study from MIT.

In a paper appearing in Scientific Reports, the researchers found that their algorithm for analyzing keystrokes could distinguish between typing done in the middle of …

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Parkinson’s KinetiGraph™

The Parkinson’s KinetiGraph™ (PKG™) movement recording is a tool that Doctors can use as part of their treatment and management program for Patients with movement disorders, such as Parkinson’s Disease.

The PKG™ Data Logger is a wrist worn medical device that looks like a wristwatch. The Doctor organises for the Patient to wear the device …

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Nintendo Wii® balance board for the assessment of standing balance in Parkinson’s disease

Holmes JD1, Jenkins MEJohnson AMHunt MAClark RA (Clin Rehabil. 2013 Apr;27(4):361-6.). evaluate the validity of the Nintendo Wii(®) balance board as a measurement tool for the assessment of postural stability in individuals with Parkinson’s.Twenty individuals with Parkinson’s participated.Subjects completed testing on two balance tasks with eyes open and closed on …

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Objective assessment of postural stability in Parkinson’s disease using mobile technology

Clinical evaluation of postural declines is largely subjective, whereas objective biomechanical approaches are expensive and time consuming, thus limiting clinical adoption. The aim of this project was to determine whether kinematic data measured by hardware within a tablet device, a 3rd generation iPad, was of sufficient quantity and quality to characterize postural stability. Seventeen patients and …

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Toap Run is a serious game for Parkinson disease patients

TOAP Run est un serious game thérapeutique issu du projet REHAB e-NOVATION dédié à l’innovation des traitements sur les troubles de la marche et de l’équilibre chez les patient atteints notamment de la maladie de Parkinson.

toap-run-jardin

http://www.cupid-project.eu/consortium

CuPiD is a new 3 year EU project to provide technology-based personalized rehabilitation exercises for people with Parkinson’s disease (PD) at home. CuPiD is powered by an eight member consortium led by the University of Bologna and is an FP7 ICT Collaborative Project.

Objective Assessment of Fall Risk in Parkinson’s Disease Using a Body-Fixed Sensor Worn for 3 Days Aner Weiss, Talia Herman, Nir Giladi, Jeffrey M. Hausdorff

Background

Patients with Parkinson’s disease (PD) suffer from a high fall risk. Previous approaches for evaluating fall risk are based on self-report or testing at a given time point and may, therefore, be insufficient to optimally capture fall risk. We tested, for the first time, whether metrics derived from 3 day continuous …

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