Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/157213
Full metadata record
DC FieldValueLanguage
dc.contributor.authorLyu, Songyuen_US
dc.date.accessioned2022-05-11T12:39:28Z-
dc.date.available2022-05-11T12:39:28Z-
dc.date.issued2022-
dc.identifier.citationLyu, S. (2022). Ambient assisted living system for amyotrophic lateral sclerosis (ALS) patients. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/157213en_US
dc.identifier.urihttps://hdl.handle.net/10356/157213-
dc.description.abstractThis 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.en_US
dc.language.isoenen_US
dc.publisherNanyang Technological Universityen_US
dc.relationA2276-211en_US
dc.subjectEngineering::Electrical and electronic engineering::Computer hardware, software and systemsen_US
dc.titleAmbient assisted living system for amyotrophic lateral sclerosis (ALS) patientsen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorYvonne Lam Ying Hungen_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.degreeBachelor of Engineering (Information Engineering and Media)en_US
dc.contributor.supervisoremailEYHLAM@ntu.edu.sgen_US
item.grantfulltextrestricted-
item.fulltextWith Fulltext-
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)
Files in This Item:
File Description SizeFormat 
FYP Report - A2276 211 - Lyu Songyu - U1920849B.pdf
  Restricted Access
4.53 MBAdobe PDFView/Open

Page view(s)

20
Updated on Jun 28, 2022

Download(s)

5
Updated on Jun 28, 2022

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.