Wireless BIMA Robot Using BCI Application

Advances in chemical and materials engineering book series, Journal Year: 2024, Volume and Issue: unknown, P. 398 - 417

Published: May 31, 2024

Bio signals are that created by combining electrical and mechanical potentials or acquired from our bodies. The brain, which is believed to be body's most complex organ, produces one of these bio signals. obtained the brain utilized diagnose illnesses medical problems lie underneath them. study being carried out developing building BIMA Bot, a mobile robot wireless has pick-and-place end effector. It also possible acquire raw data participants in complete band simultaneously using wired 24-channel EEG RMS Maximus. results were contrasted evaluated with findings numerous electrodes. Additionally, Bot was employed analyze children autism determine its impact on their behavior potential benefit.

Language: Английский

Identification of PLMS Sleep Disorder using EEG Signal feature-based classification by Machine Learning Techniques

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Feb. 7, 2024

It has been demonstrated that periodic leg movements during sleep (PLMS) are connected to alterations in features of EEG signal. Data mining evaluates hemispheric/cortical activity-related hemodynamic changes. We used data and machine learning examine whether there changes brain hemodynamics associated with PLMS. Nighttime recordings were made while activity was monitored PLMS patients. Scores from feature examined find relevant differences. consistently accompanied by variations increased magnitude when related persisted even the absence any arousal could be seen visually EEG. This study is first show PLMS-related activity. Clinical relevance these observations yet established. have wavelet decomposition or without it complete aforementioned classification tasks. For binary disease identify tasks employing stage N3, we achieved accuracy ranging between 92% 96% AUC 0.85 0.89. But, as use suggested wavelet-based performed, a superior achieved, an 0.99 range 94–98%. because best high degree discrimination.

Language: Английский

Value Prediction of Real Estate Using Machine Learning

Published: Nov. 27, 2023

Real estate is property in the form of land and houses. Its prices depend on location, number bedrooms, society, area, etc. India second world regarding population growth, so affordable housing becomes very necessary. The real business vast. So, customers or sellers need to know estimated price This research covers that area predicts prices. work uses k-fold cross-validation linear regression model. In K-fold cross-validation, data divided into k different subsets which are also called fold. A model a machine learning describes relations between dependent variable one more independent variables. used this for Bangalore state. results obtained from compared data. study prove can accurately predict buildings Furthermore, accurate prediction will help sellers, directly impact economy.

Language: Английский