Project description
Software for evaluating Parkinson's disease state
Parkinson's disease (PD) is a progressive neurodegenerative disorder and constitutes a serious public health concern. Although there are various methods on the market for evaluating disease symptoms using wearable sensors, these technologies are difficult to use, expensive and often require specific hardware. The EU-funded con-PDmode project aims to address these limitations by developing software capable of accounting for inaccuracies and uncertainty in the data collected from low-cost wearable sensors. Using advanced techniques, scientists will generate a modelling approach for evaluating PD symptoms and disease state, information on which will be communicated back to the patient. Optimisation of the algorithms and user interface as well as rigorous testing will ensure the development of an accurate PD assessment tool.
Objective
Despite the fact that there has been some progress in developing methods for estimating Parkinson’s disease (PD) symptoms using wearable sensors, these technologies have not sufficiently penetrated the market due to the usability of the system and its cost; existing technologies are constrained by specific hardware requirements or user activities, therefore aversively affecting the cost and usability of the technologies, respectively. Thus, Con-PDmode delivers a software prototype for control-oriented modelling and estimation of PD symptoms that are transparent and platform agnostic. The excellence in innovation potential for successfully bringing the PD assessment tool to the market is the capability to account for inaccuracies and uncertainty in the data collected from low-cost wearable sensors. To this purpose, we will adapt and implement advanced stochastic techniques for improved robustness in state estimation, the confidence level of the model estimation will be transparently communicated to its users. We will perform iterative tests in various environmental and sensor configurations to refine our algorithms as well as the user interface.
Fields of science
- natural sciencescomputer and information sciencessoftware
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
- medical and health scienceshealth sciencespersonalized medicine
- medical and health sciencesbasic medicineneurologyparkinson
Programme(s)
Funding Scheme
ERC-POC - Proof of Concept GrantHost institution
80333 Muenchen
Germany