Category:
Other
Net4Age Ontology Terms:
aging
, disease
, healthcare
, impairment
, patient
, people
, sensor
, technology
, usability
, wellbeing
Description:
A model for digital neural impairment screening and self-assessment, which can evaluate cognitive and motor deficits for patients with symptoms of central nervous system (CNS) disorders, such as mild cognitive impairment (MCI), Parkinson's disease (PD), Huntington's disease (HD), or dementia. The data was collected with an Android mobile application that can track cognitive, hand tremor, energy expenditure, and speech features of subjects. We extracted 238 features as the model inputs using 16 tasks, 12 of them were based on a self-administered cognitive testing (SAGE) methodology and others used finger tapping and voice features acquired from the sensors of a smart mobile device (smartphone or tablet)
Overview:
Initiative proposes classification models cover a very wide range of possible disorders, encompassing subjects suffering from Huntington's disease, Parkinson's disease, or MCI. The models were integrated into a smart mobile application, which allows for daily monitoring of the disease's progress. Another innovative aspect proposed in this paper is a new dataset, thus opening a gateway for using it in the machine learning repositories (such as in University of California Irvine (UCI) Machine Learning Repository) by other researchers.
Objectives:
development of classification models for cognitive assessment and disease progress based on cognitive, hand tremor, energy expenditure, and speech features of subjects. Development of an Andorid application that collects these data and provides the feedback
Initiatives:
free applications, provides monitoring of disease progress,
Shortcomings:
Visibility, performance, unclear if some work is stiill in progress on improvement
Relevance:
3
Relevance Description:
Relevant to know how technology can be used to track early signs and progress of some neuromotor diseases
Quality:
4
Opinion:
Good efforts in combination with an app, relevant as speach monitoring and analysis can be achieved completely seamlessly for the patient
Recommended:
Yes
Overlap:
Yes
Overlap Detail:
Paper search on tool for tracking Parkinson disease would identifiy other methods available.
Sources:
https://www.mdpi.com/1424-8220/20/11/3236 https://apkpure.com/neural-impairment-test-suite/com.alauraitis.test_suite
Keywords:
technology, self-administered cognitive testing; cognitive impairment detection; intelligent medical data analysis; clinical decision support; tactile sensing; biomedical signal processing; digital health, free medical application
Submitted By:
Rytis Maskeliunas
Email:
turukalo@uns.ac.rs