Ambient assisted living system for amyotrophic lateral sclerosis (ALS) patients
This project aims to design and implement a health care system for an individual with chronic disease. The focus of this project is to aid the ALS patients with their communication intention by detecting minor facial movement and/or the relevant EEG signals. Included in this project is a Mynd...
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| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2022
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/157213 |
| _version_ | 1826111223077273600 |
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| author | Lyu, Songyu |
| author2 | Yvonne Lam Ying Hung |
| author_facet | Yvonne Lam Ying Hung Lyu, Songyu |
| author_sort | Lyu, Songyu |
| collection | NTU |
| description | This project aims to design and implement a health care system for an individual with
chronic disease. The focus of this project is to aid the ALS patients with their
communication intention by detecting minor facial movement and/or the relevant EEG
signals.
Included in this project is a MyndPlay brain band with a single-channel EEG sensor
located on the left frontal pole of forehead to record and detect the real-time EEG
signal(s) from the end-user, a program has been developed to process the data in order
to determine the movement intention of the patient. Based on the classified features,
appropriate commands are then generated.
The extracted features for this project are selected to be “eyes blinking” and “staring at
a color (red) to concentrate”. This is based on the results of my studies on the
outstanding effect of eye blinking is reflected in real-time EEG raw signal and also
when people stare at a certain color an increasing trend of the attention value in EEG
signal is observed. However, the color sensitivity and the strength of intentional
blinking are different for different individuals, hence a pre-use characterization is
needed for every new user.
At the current stage, I use MyndPlay brain band of which locate the electrode is located
on the left frontal pole of forehead. It has been set up for recording the experiments data
in order to analyze and verify the relationship between EEG signal and the intended
features. MATLAB was used to process the data and to establish the relationship. A
visual program using OpenCV with designed algorithm has also been developed and
integrated into this project. It provides the function to set a personal value on intentional
blinking for each user. After that, it translates the extracted features into different
commands: “Eyes Blinking” controls the “steed down” and “turning” commands;
“Staring at a certain color to concentrate” gives the “start” and “speed up” commands. |
| first_indexed | 2024-10-01T02:47:09Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/157213 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T02:47:09Z |
| publishDate | 2022 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1572132023-07-07T18:57:40Z Ambient assisted living system for amyotrophic lateral sclerosis (ALS) patients Lyu, Songyu Yvonne Lam Ying Hung School of Electrical and Electronic Engineering EYHLAM@ntu.edu.sg Engineering::Electrical and electronic engineering::Computer hardware, software and systems This project aims to design and implement a health care system for an individual with chronic disease. The focus of this project is to aid the ALS patients with their communication intention by detecting minor facial movement and/or the relevant EEG signals. Included in this project is a MyndPlay brain band with a single-channel EEG sensor located on the left frontal pole of forehead to record and detect the real-time EEG signal(s) from the end-user, a program has been developed to process the data in order to determine the movement intention of the patient. Based on the classified features, appropriate commands are then generated. The extracted features for this project are selected to be “eyes blinking” and “staring at a color (red) to concentrate”. This is based on the results of my studies on the outstanding effect of eye blinking is reflected in real-time EEG raw signal and also when people stare at a certain color an increasing trend of the attention value in EEG signal is observed. However, the color sensitivity and the strength of intentional blinking are different for different individuals, hence a pre-use characterization is needed for every new user. At the current stage, I use MyndPlay brain band of which locate the electrode is located on the left frontal pole of forehead. It has been set up for recording the experiments data in order to analyze and verify the relationship between EEG signal and the intended features. MATLAB was used to process the data and to establish the relationship. A visual program using OpenCV with designed algorithm has also been developed and integrated into this project. It provides the function to set a personal value on intentional blinking for each user. After that, it translates the extracted features into different commands: “Eyes Blinking” controls the “steed down” and “turning” commands; “Staring at a certain color to concentrate” gives the “start” and “speed up” commands. Bachelor of Engineering (Information Engineering and Media) 2022-05-11T12:39:28Z 2022-05-11T12:39:28Z 2022 Final Year Project (FYP) Lyu, S. (2022). Ambient assisted living system for amyotrophic lateral sclerosis (ALS) patients. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/157213 https://hdl.handle.net/10356/157213 en A2276-211 application/pdf Nanyang Technological University |
| spellingShingle | Engineering::Electrical and electronic engineering::Computer hardware, software and systems Lyu, Songyu Ambient assisted living system for amyotrophic lateral sclerosis (ALS) patients |
| title | Ambient assisted living system for amyotrophic lateral sclerosis (ALS) patients |
| title_full | Ambient assisted living system for amyotrophic lateral sclerosis (ALS) patients |
| title_fullStr | Ambient assisted living system for amyotrophic lateral sclerosis (ALS) patients |
| title_full_unstemmed | Ambient assisted living system for amyotrophic lateral sclerosis (ALS) patients |
| title_short | Ambient assisted living system for amyotrophic lateral sclerosis (ALS) patients |
| title_sort | ambient assisted living system for amyotrophic lateral sclerosis als patients |
| topic | Engineering::Electrical and electronic engineering::Computer hardware, software and systems |
| url | https://hdl.handle.net/10356/157213 |
| work_keys_str_mv | AT lyusongyu ambientassistedlivingsystemforamyotrophiclateralsclerosisalspatients |