Monitoring and Detection of Early Risks of Mental Health ...Trust, and Zuyderland. This two week...
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www.acrossing-itn.eu @acrossing_itn ACROSSING is funded under Horizon 2020 – the Framework Programme for Research and Innovation from the European Union under Grant agreement No 676157 . Monitoring and Detection of Early Risks of Mental Health from Learned Activity Profiles ESR11 - Rick van Veen Introduction Research Aims Next Steps Research Questions Training Events Network Experience Philips Eindhoven West London Mental Health Trust Secondments Developing custom methods to process the data, extract the features, and score and classify the performance. What are the traditional tests? Which tests are suitable to be taken at home? Do correlations exist between different tests? Applications: Minimize testing, malingering detection. Can we create novel cognition scoring methods? Application: Cognitive health sore. Can we create novel discriminating features between the people living with cognitive impairment? Cognitive testing is a technique that is used to measure the performance of peoples’ cognitive ability. Distinct tests exist to investigate specific cognitive domains, for example memory, verbal fluency and ability to process information. Inferences about which parts of the brain might be functioning less than normal might be drawn. The majority of tests have not changed much over the past decade and are still mainly recorded using paper and pencil. The increasing ubiquity of computers has sparked the interest of digitizing cognitive testing. Philips IntelliSpace Cognition is a digital cognitive testing platform, enabling a standardized workflow, more efficient cognitive assessments, reduced scoring times, and more consistent scoring measures. By using digitized tests many new performance features can be extracted in an automatic manner, for example, the exact traces of a drawing task including the moment the person hesitated. The extraction of these features is non-trivial and generates a lot of new data. Furthermore, test performance can be easily compared over time. To gain new insights about a person’s cognitive state, data analytics based on advanced machine learning and data mining algorithms must be developed and performed. Knowledge Extraction- In order to improve on existing test an exhaustive review of existing tests is necessary. As well as an inventory of the digitization efforts by others. Data Analysis- Using the available data from the healthy participants new health scoring measures should be developed and investigated. As more data becomes available efforts can be directed to finding the most relevant features and optimizing machine learning algorithms to classify healthy participants from cognitive impaired patients. Data Collection Trial - Data from patients has been collected, but is limited at the moment. Philips IntelliSpace Cognition platform will be used to collect data from people living with mild cognitive impairment and early stages of dementia. A data collection trial will need be set up and coordinated for this. ACROSSING Partners: West London Mental Health Trust, and Zuyderland. This two week secondment was meant as a introduction Philips IntelliSpace Cognition platform as well as an introduction to the team working on it. The visit can be divided into three different parts. Firstly, access to the code repositories was given to familiarize with the work that was already done. Secondly, to get a feeling for the different cognitive test that are available on the platform, a full cognitive assessment was experienced. Thirdly, a initial analysis of the already available data was performed based on intuitive machine learning algorithms. A one week secondment at West London Mental Health Trust was organized to gain domain knowledge and experience with the user group. The secondment felt together with the dementia awareness week, such that it was possible to attend talks and meet people who are living with dementia. Through guided phone interviews WLMHT provided insight into the acceptance of technology among the user group. Elderly people, living with a cognitive impairment were very positive towards technology and sharing this data with their doctors or any organization as long as this would help them. Context awareness, behavior analysis, user-centered design and ethics. Look behind the scene of a specialized dementia care home. Large IoT technology expo, with a number of health tech companies showing their contributions. Dementia 2020 conference about the direction of dementia research. Gain new insights to further improve the performance of the cognitive tests and identify risks at an early stage. Investigate self-test integration into a smart home. Improve quality of digital cognitive tests by standardization and new scoring measures. Develop novel algorithms to classify the cognitive impaired from the healthy. Research visit to the university of science and technology. IEEE member and presented at HEALTHCOM 2017. Smart Home Research Technology Development and application overview, user needs and application requirements. Sensing and monitoring, research methodology and project management. Supervisor Committee Affiliation Philips Research UK Michael Biehl, Liming Chen, Elsbeth van Dam, Paul Fulton, Chris Nugent, Gert-Jan de Vries and David Walker Dementia awareness week 2017 The University of Groningen
Transcript of Monitoring and Detection of Early Risks of Mental Health ...Trust, and Zuyderland. This two week...
www.acrossing-itn.eu
@acrossing_itnACROSSING is funded under Horizon 2020 – the Framework Programme for Research andInnovation from the European Union under Grant agreement No 676157.
Monitoring and Detection ofEarly Risks of Mental Health from Learned Activity ProfilesESR11 - Rick van Veen
Introduction
Research Aims
Next Steps
Research Questions
Training Events
Network Experience
Philips Eindhoven
West London Mental Health Trust
Secondments
Developing custom methods to process the data, extract the features, and score and classify the performance.
What are the traditional tests? Which tests are suitable to be taken at home? Do correlations exist between different tests? Applications: Minimize testing, malingering detection.
Can we create novel cognition scoring methods? Application: Cognitive health sore. Can we create novel discriminating features between the people living with cognitive impairment?
Cognitive testing is a technique that is used to measure the performance of peoples’ cognitive ability. Distinct tests exist to investigate specific cognitive domains, for example memory, verbal fluency and ability to process information. Inferences about which parts of the brain might be functioning less than normal might be drawn. The majority of tests have not changed much over the past decade and are still mainly recorded using paper and pencil. The increasing ubiquity of computers has sparked the interest of digitizing cognitive testing. Philips IntelliSpace Cognition is a digital cognitive testing platform, enabling a standardized workflow, more
efficient cognitive assessments, reduced scoring times, and more consistent scoring measures. By using digitized tests many new performance features can be extracted in an automatic manner, for example, the exact traces of a drawing task including the moment the person hesitated. The extraction of these features is non-trivial and generates a lot of new data. Furthermore, test performance can be easily compared over time. To gain new insights about a person’s cognitive state, data analytics based on advanced machine learning and data mining algorithms must be developed and performed.
Knowledge Extraction- In order to improve on existing test an exhaustive review of existing tests is necessary. As well as an inventory of the digitization efforts by others.
Data Analysis- Using the available data from the healthy participants new health scoring measures should be developed and investigated. As more data becomes available efforts can be directed to finding the most relevant features and optimizing machine learning algorithms to classify healthy participants from cognitive impaired patients.
Data Collection Trial- Data from patients has been collected, but is limited at the moment. Philips IntelliSpace Cognition platform will be used to collect data from people living with mild cognitive impairment and early stages of dementia. A data collection trial will need be set up and coordinated for this. ACROSSING Partners: West London Mental Health Trust, and Zuyderland.
This two week secondment was meant as a introduction Philips IntelliSpace Cognition platform as well as an introduction to the team working on it. The visit can be divided into three different parts. Firstly, access to the code repositories was given to familiarize with the work that was already done. Secondly, to get a feeling for the different cognitive test that are available on the platform, a full cognitive assessment was experienced. Thirdly, a initial analysis of the already available data was performed based on intuitive machine learning algorithms.
A one week secondment at West London Mental Health Trust was organized to gain domain knowledge and experience with the user group. The secondment felt together with the dementia awareness week, such that it was possible to attend talks and meet people who are living with dementia. Through guided phone interviews WLMHT provided insight into the acceptance of technology among the user group. Elderly people, living with a cognitive impairment were very positive towards technology and sharing this data with their doctors or any organization as long as this would help them.
Context awareness, behavior analysis, user-centered design and ethics.
Look behind the scene of a specialized dementia care home.
Large IoT technology expo, with a number of health tech companies showing their contributions.
Dementia 2020 conference about the direction of dementia research.
Gain new insights to further improve the performance of the cognitive tests and identify risks at an early stage. Investigate self-test integration into a smart home.
Improve quality of digital cognitive tests by standardization and new scoring measures. Develop novel algorithms to classify the cognitive impaired from the healthy.
Research visit to the university of science and technology.
IEEE member and presented at HEALTHCOM 2017.
Smart Home Research Technology Development and application overview, user needs and application requirements.
Sensing and monitoring, research methodology and project management.
Supervisor CommitteeAffiliationPhilips Research UK Michael Biehl, Liming Chen,
Elsbeth van Dam, Paul Fulton, Chris Nugent, Gert-Jan de Vries and David Walker
Dementia awareness week 2017
The University ofGroningen
