Intelligent Monitoring Platform to Evaluate the Overall State of People with Neurological Disorders
The percentage of people around the world who are living with some kind of disability or disorder has increased in recent years and continues to rise due to the aging of the population and the increase in chronic health disorders. People with disabilities find problems in performing some of the acti...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-03-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/11/6/2789 |
| _version_ | 1797540547032776704 |
|---|---|
| author | Jose Maria Vicente-Samper Ernesto Avila-Navarro Vicente Esteve Jose Maria Sabater-Navarro |
| author_facet | Jose Maria Vicente-Samper Ernesto Avila-Navarro Vicente Esteve Jose Maria Sabater-Navarro |
| author_sort | Jose Maria Vicente-Samper |
| collection | DOAJ |
| description | The percentage of people around the world who are living with some kind of disability or disorder has increased in recent years and continues to rise due to the aging of the population and the increase in chronic health disorders. People with disabilities find problems in performing some of the activities of daily life, such as working, attending school, or participating in social and recreational events. Neurological disorders such as epilepsy, learning disabilities, autism spectrum disorder, or Alzheimer’s, are among the main diseases that affect a large number of this population. However, thanks to the assistive technologies (AT), these people can improve their performance in some of the obstacles presented by their disorders. This paper presents a new system that aims to help people with neurological disorders providing useful information about their pathologies. This novelty system consists of a platform where the physiological and environmental data acquisition, the feature engineering, and the machine learning algorithms are combined to generate customs predictive models that help the user. Finally, to demonstrate the use of the system and the working methodology employed in the platform, a simple example case is presented. This example case carries out an experimentation that presents a user without neurological problems that shows the versatility of the platform and validates that it is possible to get useful information that can feed an intelligent algorithm. |
| first_indexed | 2024-03-10T13:02:44Z |
| format | Article |
| id | doaj.art-388bb52c53194c4782e758544ca095ad |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T13:02:44Z |
| publishDate | 2021-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-388bb52c53194c4782e758544ca095ad2023-11-21T11:20:09ZengMDPI AGApplied Sciences2076-34172021-03-01116278910.3390/app11062789Intelligent Monitoring Platform to Evaluate the Overall State of People with Neurological DisordersJose Maria Vicente-Samper0Ernesto Avila-Navarro1Vicente Esteve2Jose Maria Sabater-Navarro3Department of Systems Engineering and Automation, Miguel Hernández University of Elche, 03202 Elche, SpainDepartment of Materials Science, Optics and Electronic Technology, Miguel Hernández University of Elche, 03202 Elche, SpainDepartment of Software and Computing Systems, University of Alicante, 03690 San Vicente del Raspeig, SpainDepartment of Systems Engineering and Automation, Miguel Hernández University of Elche, 03202 Elche, SpainThe percentage of people around the world who are living with some kind of disability or disorder has increased in recent years and continues to rise due to the aging of the population and the increase in chronic health disorders. People with disabilities find problems in performing some of the activities of daily life, such as working, attending school, or participating in social and recreational events. Neurological disorders such as epilepsy, learning disabilities, autism spectrum disorder, or Alzheimer’s, are among the main diseases that affect a large number of this population. However, thanks to the assistive technologies (AT), these people can improve their performance in some of the obstacles presented by their disorders. This paper presents a new system that aims to help people with neurological disorders providing useful information about their pathologies. This novelty system consists of a platform where the physiological and environmental data acquisition, the feature engineering, and the machine learning algorithms are combined to generate customs predictive models that help the user. Finally, to demonstrate the use of the system and the working methodology employed in the platform, a simple example case is presented. This example case carries out an experimentation that presents a user without neurological problems that shows the versatility of the platform and validates that it is possible to get useful information that can feed an intelligent algorithm.https://www.mdpi.com/2076-3417/11/6/2789sensorselectronic platformmachine learningwearables |
| spellingShingle | Jose Maria Vicente-Samper Ernesto Avila-Navarro Vicente Esteve Jose Maria Sabater-Navarro Intelligent Monitoring Platform to Evaluate the Overall State of People with Neurological Disorders Applied Sciences sensors electronic platform machine learning wearables |
| title | Intelligent Monitoring Platform to Evaluate the Overall State of People with Neurological Disorders |
| title_full | Intelligent Monitoring Platform to Evaluate the Overall State of People with Neurological Disorders |
| title_fullStr | Intelligent Monitoring Platform to Evaluate the Overall State of People with Neurological Disorders |
| title_full_unstemmed | Intelligent Monitoring Platform to Evaluate the Overall State of People with Neurological Disorders |
| title_short | Intelligent Monitoring Platform to Evaluate the Overall State of People with Neurological Disorders |
| title_sort | intelligent monitoring platform to evaluate the overall state of people with neurological disorders |
| topic | sensors electronic platform machine learning wearables |
| url | https://www.mdpi.com/2076-3417/11/6/2789 |
| work_keys_str_mv | AT josemariavicentesamper intelligentmonitoringplatformtoevaluatetheoverallstateofpeoplewithneurologicaldisorders AT ernestoavilanavarro intelligentmonitoringplatformtoevaluatetheoverallstateofpeoplewithneurologicaldisorders AT vicenteesteve intelligentmonitoringplatformtoevaluatetheoverallstateofpeoplewithneurologicaldisorders AT josemariasabaternavarro intelligentmonitoringplatformtoevaluatetheoverallstateofpeoplewithneurologicaldisorders |