Literature DB >> 25488217

A double closed loop to enhance the quality of life of Parkinson's Disease patients: REMPARK system.

Albert Samà1, Carlos Pérez-López1, Daniel Rodríguez-Martín1, J Manuel Moreno-Aróstegui1, Jordi Rovira2, Claas Ahlrichs3, Rui Castro4, João Cevada4, Ricardo Graça4, Vânia Guimarães4, Bernardo Pina4, Timothy Counihan5, Hadas Lewy6, Roberta Annicchiarico7, Angels Bayés8, Alejandro Rodríguez-Molinero5, Joan Cabestany1.   

Abstract

This paper presents REMPARK system, a novel approach to deal with Parkinson's Disease (PD). REMPARK system comprises two closed loops of actuation onto PD. The first loop consists in a wearable system that, based on a belt-worn movement sensor, detects movement alterations that activate an auditory cueing system controlled by a smartphone in order to improve patient's gait. The belt-worn sensor analyzes patient's movement through real-time learning algorithms that were developed on the basis of a database previously collected from 93 PD patients. The second loop consists in disease management based on the data collected during long periods and that enables neurologists to tailor medication of their PD patients and follow the disease evolution. REMPARK system is going to be tested in 40 PD patients in Spain, Ireland, Italy and Israel. This paper describes the approach followed to obtain this system, its components, functionalities and trials in which the system will be validated.

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Year:  2014        PMID: 25488217

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  5 in total

1.  PD_Manager: an mHealth platform for Parkinson's disease patient management.

Authors:  Kostas M Tsiouris; Dimitrios Gatsios; George Rigas; Dragana Miljkovic; Barbara Koroušić Seljak; Marko Bohanec; Maria T Arredondo; Angelo Antonini; Spyros Konitsiotis; Dimitrios D Koutsouris; Dimitrios I Fotiadis
Journal:  Healthc Technol Lett       Date:  2017-05-23

2.  Systematic Review Looking at the Use of Technology to Measure Free-Living Symptom and Activity Outcomes in Parkinson's Disease in the Home or a Home-like Environment.

Authors:  Catherine Morgan; Michal Rolinski; Roisin McNaney; Bennet Jones; Lynn Rochester; Walter Maetzler; Ian Craddock; Alan L Whone
Journal:  J Parkinsons Dis       Date:  2020       Impact factor: 5.568

3.  Double-Tap Interaction as an Actuation Mechanism for On-Demand Cueing in Parkinson's Disease.

Authors:  Dean Sweeney; Leo R Quinlan; Margaret Richardson; Pauline Meskell; Gearóid ÓLaighin
Journal:  Sensors (Basel)       Date:  2019-11-26       Impact factor: 3.576

Review 4.  How COVID-19 will boost remote exercise-based treatment in Parkinson's disease: a narrative review.

Authors:  Agnes Langer; Lucia Gassner; Anna Flotz; Sebastian Hasenauer; Jakob Gruber; Laurenz Wizany; Rochus Pokan; Walter Maetzler; Heidemarie Zach
Journal:  NPJ Parkinsons Dis       Date:  2021-03-08

5.  Design of a Machine Learning-Assisted Wearable Accelerometer-Based Automated System for Studying the Effect of Dopaminergic Medicine on Gait Characteristics of Parkinson's Patients.

Authors:  Satyabrata Aich; Pyari Mohan Pradhan; Sabyasachi Chakraborty; Hee-Cheol Kim; Hee-Tae Kim; Hae-Gu Lee; Il Hwan Kim; Moon-Il Joo; Sim Jong Seong; Jinse Park
Journal:  J Healthc Eng       Date:  2020-02-18       Impact factor: 2.682

  5 in total

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