State of the Art on Games for Health Focus on Parkinson’s Disease Rehabilitation

2014 ◽  
pp. 13-16 ◽  
Author(s):  
J. Cancela ◽  
M. Pastorino ◽  
M. T. Arredondo ◽  
C. Vera-Muñoz
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
State Of The Art ◽  
Games For Health

scholarly journals Response to Discussion on “Improved Overlap-Based Undersampling for Imbalanced Dataset Classification with Application to Epilepsy and Parkinson’s Disease,”

2020 ◽  
Vol 30 (09) ◽  
pp. 2075002
Author(s):  
Pattaramon Vuttipittayamongkol ◽  
Eyad Elyan
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Method Validation ◽  
State Of The Art ◽  
Statistical Tests ◽  
Behavioral Analysis ◽  
Supporting Evidence ◽  
Competitive Performance ◽  
Imbalanced Dataset ◽  
New Methods

In the paper Improved Overlap-Based Undersampling for Imbalanced Dataset Classification with Application to Epilepsy and Parkinson’s Disease, the authors introduced two new methods that address the class overlap problem in imbalanced datasets. The methods involve identification and removal of potentially overlapped majority class instances. Extensive evaluations were carried out using 136 datasets and compared against several state-of-the-art methods. Results showed competitive performance with those methods, and statistical tests proved significant improvement in classification results. The discussion on the paper related to the behavioral analysis of class overlap and method validation was raised by Fernández. In this article, the response to the discussion is delivered. Detailed clarification and supporting evidence to answer all the points raised are provided.

scholarly journals 200. Advancing a State of the Art Gene Therapy for Parkinson's Disease

2015 ◽  
Vol 23 ◽  
pp. S79-S80
Author(s):  
Romina Aron Badin ◽  
Katie Binley ◽  
Nadja Van Camp ◽  
Caroline Jan ◽  
Jean Gourlay ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Gene Therapy ◽  
Parkinson's Disease ◽  
State Of The Art

scholarly journals Next-Generation Gene Therapy for Parkinson’s Disease Using Engineered Viral Vectors

2021 ◽  
pp. 1-9
Author(s):  
Tomas Björklund ◽  
Marcus Davidsson
Keyword(s):  
Parkinson’S Disease ◽  
Gene Therapy ◽  
Parkinson's Disease ◽  
Clinical Trials ◽  
Genome Editing ◽  
Viral Vectors ◽  
State Of The Art ◽  
The State ◽  
Next Generation ◽  
Suitable Vector

Recent technological and conceptual advances have resulted in a plethora of exciting novel engineered adeno associated viral (AAV) vector variants. They all have unique characteristics and abilities. This review summarizes the development and their potential in treating Parkinson’s disease (PD). Clinical trials in PD have shown over the last decade that AAV is a safe and suitable vector for gene therapy but that it also is a vehicle that can benefit significantly from improvement in specificity and potency. This review provides a concise collection of the state-of-the-art for synthetic capsids and their utility in PD. We also summarize what therapeutical strategies may become feasible with novel engineered vectors, including genome editing and neuronal rejuvenation.

scholarly journals Body-Worn Sensors for Remote Monitoring of Parkinson’s Disease Motor Symptoms: Vision, State of the Art, and Challenges Ahead

2021 ◽  
pp. 1-13
Author(s):  
Silvia Del Din ◽  
Cameron Kirk ◽  
Alison J. Yarnall ◽  
Lynn Rochester ◽  
Jeffrey M. Hausdorff
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Remote Monitoring ◽  
State Of The Art ◽  
Digital Health ◽  
Clinical Care ◽  
Motor Symptoms ◽  
Personalized Care ◽  
Evaluation And Monitoring ◽  
The Impact

The increasing prevalence of neurodegenerative conditions such as Parkinson’s disease (PD) and related mobility issues places a serious burden on healthcare systems. The COVID-19 pandemic has reinforced the urgent need for better tools to manage chronic conditions remotely, as regular access to clinics may be problematic. Digital health technology in the form of remote monitoring with body-worn sensors offers significant opportunities for transforming research and revolutionizing the clinical management of PD. Significant efforts are being invested in the development and validation of digital outcomes to support diagnosis and track motor and mobility impairments “off-line”. Imagine being able to remotely assess your patient, understand how well they are functioning, evaluate the impact of any recent medication/intervention, and identify the need for urgent follow-up because things are changing? This could offer new pragmatic solutions for personalized care and clinical research. So the question remains: how close are we to achieving this? Here, we describe the state-of-the-art based on representative papers published between 2017 and 2020. We focus on remote (i.e., real-world, daily-living) monitoring of PD using body-worn sensors (e.g., accelerometers, inertial measurement units) for assessing motor symptoms and their complications. Despite the tremendous potential, existing challenges exist (e.g., validity, regulatory) that are preventing the widespread clinical adoption of body-worn sensors as a digital outcome. We propose a roadmap with clear recommendations for addressing these challenges and future directions to bring us closer to the implementation and widespread adoption of this important way of improving the clinical care, evaluation, and monitoring of PD.

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