Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/471937
Title: | Stress Ocare an Advance IOMT Based Physiological Data Analysis for Health Status Prediction Classification |
Researcher: | Ramani, Bhupendra |
Guide(s): | Solanki, Kamini and Patel, Warish |
Keywords: | Anxiety detection Computer Science Computer Science Information Systems Electroencephalogram Engineering and Technology Hyperparameter tuning Machine learning Random Forest |
University: | Parul University |
Completed Date: | 2023 |
Abstract: | The human mind involves many neurons, which accept a massive part in controlling the newlinebehavior of the human body concerning inside/outer engine/tactile boosts. Moreover, the human brain indicates different repeats in the mindfulness or resting period. By using these unique kinds of frequencies, mind waves can be perceived from each other. Besides, these electric signs can be assessed by an EEG (electroencephalograph) headset. The neuron goes about as information transporters between the human body and psyche. Understanding the scholarly lead of the psyche ought to be conceivable by taking apart signals or pictures from the brain. Human conduct can be imagined similar to the engine and tangible states, for instance, eye development, lip development, acknowledgment, thought, hand getting a handle on, etc. these states are associated with express sign repeat, which helps with understanding valuable lead of confusing brain structure. Electroencephalography (EEG) is a successful technique that helps with acquiring mind signals identified with various states newlinefrom the scalp surface district. These signs are arranged overall as delta, theta, alpha, beta, and gamma, which are reliant upon signal frequencies going from 0.1Hz to more than 100Hz. This paper focuses on EEG signs and their depiction concerning various human newlinebody states. It similarly oversees the introductory course of action used in EEG newlineexamination. Previously, the EEG headset was unassuming and just used in medicine. newlineNonetheless, over the last several years, various unassuming EEG contraptions have been newlineavailable watching out. Along these lines, the BCI (Brain-Computer Interface) investigation has been widened. Neurosky Mindwave compact II is a discreet and simple-to-utilize EEG device we use here for our assessment. This research uses Neurosky Mindwave convenient II to find our work and choose its comfort. |
Pagination: | |
URI: | http://hdl.handle.net/10603/471937 |
Appears in Departments: | Department of Computer Science Engineering (CSE) |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title_page.pdf | Attached File | 398.58 kB | Adobe PDF | View/Open |
02_prelim_page.pdf | 4.79 MB | Adobe PDF | View/Open | |
03_contents.pdf | 573.5 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 566.32 kB | Adobe PDF | View/Open | |
05_chapter_1.pdf | 1.42 MB | Adobe PDF | View/Open | |
06_chapter_2.pdf | 1.09 MB | Adobe PDF | View/Open | |
07_chapter_3.pdf | 592.69 kB | Adobe PDF | View/Open | |
08_chapter_4.pdf | 1.91 MB | Adobe PDF | View/Open | |
09_chapter_5.pdf | 1.67 MB | Adobe PDF | View/Open | |
10_chapter_6.pdf | 471.65 kB | Adobe PDF | View/Open | |
11_annexures.pdf | 6.19 MB | Adobe PDF | View/Open | |
80_recommendation.pdf | 106.06 kB | Adobe PDF | View/Open |
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