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

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
2017 Healthcare technology letters  
PD_Manager is a mobile health platform designed to cover most of the aspects regarding the management of Parkinson's disease (PD) in a holistic approach.  ...  Patients are unobtrusively monitored using commercial wrist and insole sensors paired with a smartphone, to automatically estimate the severity of most of the PD motor symptoms.  ...  Smartphone: Besides the cloud service, most of the mHealth functionality is carried through the patient's mobile application (i.e. data transfer, motor/non-motor tests, nutrition, educational material  ... 
doi:10.1049/htl.2017.0007 pmid:28706727 pmcid:PMC5496467 fatcat:lqt6p2viybe4hjrgy5zy54l6se

Acceptability to patients, carers and clinicians of an mHealth platform for the management of Parkinson's disease (PD_Manager): study protocol for a pilot randomised controlled trial

Angelo Antonini, Giovanni Gentile, Manuela Giglio, Andrea Marcante, Heather Gage, Morro M. L. Touray, Dimitrios I. Fotiadis, Dimitris Gatsios, Spyridon Konitsiotis, Lada Timotijevic, Bernadette Egan, Charo Hodgkins (+2 others)
2018 Trials  
on behalf of the PD_Manager consortium Abstract Background: Parkinson's disease is a degenerative neurological condition causing multiple motor and non-motor symptoms that have a serious adverse effect  ...  The PD_Manager mHealth platform aims to provide a continuous feed of data on symptoms to improve clinical understanding of the status of any individual patient and inform care planning.  ...  Acknowledgements The authors thank all participants, carers and clinicians who participated in the study. The work of the authors was supported by the PD_Manager Project.  ... 
doi:10.1186/s13063-018-2767-4 pmid:30217235 pmcid:PMC6138904 fatcat:gacpet4cereylisvzm2xadqtzi

Digital Therapeutics in Parkinson's Disease: Practical Applications and Future Potential

Terry D. Ellis, Gammon M. Earhart
2021 Journal of Parkinson's Disease  
associated with Parkinson's disease.  ...  In this paper, we briefly review practical applications and emerging advances in digital therapeutic platforms that target motor and non-motor signs and healthy lifestyle behaviors such as regular exercise  ...  INTRODUCTION 20 Parkinson's disease (PD) is a multifaceted condi-21 tion that may include a host of motor and non-motor 22 symptoms.  ... 
doi:10.3233/jpd-202407 pmid:33646177 fatcat:6m4qe2waenf2bpfy5z5iq24ika

Enabling breakthroughs in Parkinson's disease with wearable technologies and big data analytics

Shahar Cohen, Lauren R. Bataille, Adria K. Martig
2016 mHealth  
Tools for continuous and objective monitoring of PD motor symptoms are needed to complement clinical assessments of symptom severity to further inform PD therapeutic development across several arenas,  ...  Parkinson's disease (PD) is a progressive, degenerative disorder of the central nervous system that is diagnosed and measured clinically by the Unified Parkinson's Disease Rating Scale (UPDRS).  ...  Footnote Conflicts of Interest: The authors have no conflicts of interest to declare.  ... 
doi:10.21037/mhealth.2016.04.02 pmid:28293596 pmcid:PMC5344108 fatcat:kxlpl37cxrgbbncoi642mgikce

Designing a mHealth clinical decision support system for Parkinson's disease: a theoretically grounded user needs approach

L. Timotijevic, C. E. Hodgkins, A. Banks, P. Rusconi, B. Egan, M. Peacock, E. Seiss, M. M. L. Touray, H. Gage, C. Pellicano, G. Spalletta, F. Assogna (+7 others)
2020 BMC Medical Informatics and Decision Making  
Study 1 indicated that system development should move away from the traditional silos of 'motor' and 'non-motor' symptom evaluations and suggest that presenting data on symptoms according to goal-based  ...  We report on a user needs approach to develop a prototype of a mHealth CDSS for Parkinson's disease (PD), which is theoretically grounded in the psychological literature about expert decision making and  ...  Neither the funding body, nor the sponsors, have any role in: the design of the study; the collection, analysis and interpretation of data; writing of the manuscript; decision to submit the report for  ... 
doi:10.1186/s12911-020-1027-1 pmid:32075633 pmcid:PMC7031960 fatcat:tbmx3r26y5bpfiwbymssqslfhe

Implementation of Mobile Health Technologies in Clinical Trials of Movement Disorders: Underutilized Potential

Carlo Alberto Artusi, Gabriele Imbalzano, Andrea Sturchio, Andrea Pilotto, Elisa Montanaro, Alessandro Padovani, Leonardo Lopiano, Walter Maetzler, Alberto J. Espay
2020 Neurotherapeutics  
Only 3.7% (n = 2/54) of all trials used mHealth for measuring both motor and non-motor symptoms, and 23.1% (n = 12/52) used mHealth for unsupervised, ecologic outcomes.  ...  A total of 29% (n = 54/184) registered trials were using mHealth, mainly in Parkinson's disease and essential tremor (59.3% and 27.8%).  ...  Most trials captured motor symptoms (mainly gait and tremor); only two used mHealth for measuring both motor and non-motor symptoms.  ... 
doi:10.1007/s13311-020-00901-x pmid:32734442 fatcat:5o7k2quutrh4rakiym2kx6qzd4

Designing socially acceptable mHealth technologies for Parkinson's disease self-management

Sylvie Grosjean, Eliza Bate, Tiago Mestre
2020 Finnish Journal of eHealth and eWelfare  
This qualitative systematic review aimed to investigate the barriers to and facilitators of use mHealth technologies for disease self-management from the perspective of People with Parkinson's (PwP).  ...  Mobile health (mHealth) technologies for Parkinson's disease management have developed quickly in recent years.  ...  Motor symptoms such as tremor and gait slowness as well as non-motor symptoms such as sleep disturbance, anxiety, and depression can have a significant impact on a person's Quality of Life (QoL).  ... 
doi:10.23996/fjhw.95231 fatcat:eebmuzqt7ng4fleoagwa7vucpi

Classification of handwritten drawings of people with Parkinson's disease by using histograms of oriented gradients and the random forest classifier

João Paulo Folador, Adrian Rosebrock, Adriano Alves Pereira, Marcus Fraga Vieira, Adriano Oliveira Andrade
2019 Zenodo  
Parkinson's disease (PD) is a neurological disorder that is progressive and causes losses of dopaminergic neurons from the substantia nigra, a region in the human brain.  ...  The decrease of dopamine in this area elucidates the presence of motor symptoms, such as tremors, bradykinesia, rigidity, gait impairment, and non-motor symptoms, e.g., depression, loss of cognitive functions  ...  Cancela J, Mascato SV, Gatsios D, et al (2016) Monitoring of motor and non-motor symptoms of Parkinson's disease through a mHealth platform.  ... 
doi:10.5281/zenodo.3559185 fatcat:wug4qwerdbfnza5wfke52zchkm

Stay mindfully active during the coronavirus pandemic: a feasibility study of mHealth-delivered mindfulness yoga program for people with Parkinson's disease

Jojo Yan Yan Kwok, Jung Jae Lee, Edmond Pui Hang Choi, Pui Hing Chau, Man Auyeung
2022 BMC Complementary Medicine and Therapies  
The inaccessibility of center-based rehabilitation further aggravated their motor dysfunctions as well as mental distress, leading to exacerbation of motor and non-motor symptoms, high healthcare utilization  ...  Adults (aged ≥ 18) with a clinical diagnosis of idiopathic Parkinson's disease (Hoehn and Yahr stage I to III) who were able to stand unaided and walk with or without an assistive device were enrolled  ...  Acknowledgements We would like to extend our sincere gratitude and appreciation all the participants for their active engagement and support of this study.  ... 
doi:10.1186/s12906-022-03519-y pmid:35130894 pmcid:PMC8818838 fatcat:fntxuuwgvzasfiuc63zpp75bbe

Effective behavioral intervention strategies using mobile health applications for chronic disease management: a systematic review

Jung-Ah Lee, Mona Choi, Sang A Lee, Natalie Jiang
2018 BMC Medical Informatics and Decision Making  
Mobile health (mHealth) has continuously been used as a method in behavioral research to improve self-management in patients with chronic diseases.  ...  Most studies developed their own mHealth systems including mobile apps. Training of mHealth systems was provided to participants in person or through paper-based instructions.  ...  Availability of data and materials Not applicable.  ... 
doi:10.1186/s12911-018-0591-0 pmid:29458358 pmcid:PMC5819153 fatcat:by4bcqkyibfxnawsdpwi4j5cxe

Could New Generations of Sensors Reshape the Management of Parkinson's Disease?

Oleg S. Levin, Olga V. Iakovleva, Irina I. Coloman, Anastasia V. Kuzmina
2021 Clinical and Translational Neuroscience  
This review article provides an exhaustive overview of motor complications of advanced PD and new approaches to the management of the disease using sensors.  ...  PD is a chronic neurologic disease that has a great impact on the patient's quality of life.  ...  A Long Day for a Patient with PD Parkinson's disease (PD) is a neurodegenerative disorder characterized by motor symptoms, such as bradykinesia, tremors, and rigidity.  ... 
doi:10.3390/ctn5020018 fatcat:enruhvey3jdgdgtp5rtfe54dbe

Smartphone Applications in the Management of Parkinson's Disease in a Family Setting: An Opinion Article

Ting Zhang, Li Dong, Hua Jing, Song Gao
2021 Frontiers in Neurology  
Moreover, non-motor symptoms may appear at the early phase of PD (5, 6) .  ...  At present, mHealth has been used in the fields of hypertension, diabetes, and cardiovascular diseases (16) , and it plays a role in improving health management compliance, symptom management, and social  ...  Conflict of Interest: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.  ... 
doi:10.3389/fneur.2021.668953 pmid:34093418 pmcid:PMC8175660 fatcat:ehmfbxwxb5bark4sgqg2kycurq

Feasibility of a Mobile-Based System for Unsupervised Monitoring in Parkinson's Disease

Raquel Bouça-Machado, Filipa Pona-Ferreira, Mariana Leitão, Ana Clemente, Diogo Vila-Viçosa, Linda Azevedo Kauppila, Rui M. Costa, Ricardo Matias, Joaquim J. Ferreira
2021 Sensors  
Mobile health (mHealth) has emerged as a potential solution to providing valuable ecological information about the severity and burden of Parkinson's disease (PD) symptoms in real-life conditions.  ...  Objective: The objective of our study was to explore the feasibility and usability of an mHealth system for continuous and objective real-life measures of patients' health and functional mobility, in unsupervised  ...  Introduction Parkinson's disease (PD) is a complex neurodegenerative disorder, with a multitude of fluctuating and heterogeneous motor and non-motor manifestations [1] .  ... 
doi:10.3390/s21154972 fatcat:4cf6xrxlnfcgvbjwe2yxubffbq

Technology in Parkinson's disease: Challenges and opportunities

Alberto J. Espay, Paolo Bonato, Fatta B. Nahab, Walter Maetzler, John M. Dean, Jochen Klucken, Bjoern M. Eskofier, Aristide Merola, Fay Horak, Anthony E. Lang, Ralf Reilmann, Joe Giuffrida (+16 others)
2016 Movement Disorders  
Motor and non-motor symptoms of Parkinson’s disease and their impact on quality of life and on different clinical subgroups.  ...  Arora S, Venkataraman V, Zhan A, et al. Detecting and monitoring the symptoms of Parkinson’s disease using smartphones: A pilot study.  ... 
doi:10.1002/mds.26642 pmid:27125836 pmcid:PMC5014594 fatcat:hkaphtxh4zhstgj7vhxmjp7ncu

A Sensor-Based Perspective in Early-Stage Parkinson's Disease: Current State and the Need for Machine Learning Processes

Marios G. Krokidis, Georgios N. Dimitrakopoulos, Aristidis G. Vrahatis, Christos Tzouvelekis, Dimitrios Drakoulis, Foteini Papavassileiou, Themis P. Exarchos, Panayiotis Vlamos
2022 Sensors  
PD is an idiopathic disease of the nervous system, characterized by motor and nonmotor manifestations without a discrete onset of symptoms until a substantial loss of neurons has already occurred, enabling  ...  The integration of machine learning into medical systems provides the potential for optimization of data collection, disease prediction through classification of symptoms and can strongly support data-driven  ...  measure of motor symptoms [10] .  ... 
doi:10.3390/s22020409 pmid:35062370 pmcid:PMC8777583 fatcat:pwplwlj3vndxxe6iqfn7s6kaqy
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