Biomedical Signals
Investigation in different type of wavelet transform decomposition for different type of biomedical signals
... the biomedical signals are complex, weak, un-uniform and unsymmetrical signals; therefore the wavelet decomposing is a useful tool for finding the information in these biomedical ...(EEG) ...
10
Convolutional Neural Network Application in Biomedical Signals
... Recent improvements in big data and machine learning have enhanced the importance of biomedical signal and image-processing research. One part of machine learning evolution is deep learning networks. Deep learning ...
15
ASCII Encoding of Biomedical Signals for SMS Transmission
... physiological signals using the ASCII (American Standard Code for Information Interchange) code and transmit the texts obtained through SMS (Short Message Service) ...technique, biomedical signals of ...
7
Various epileptic seizure detection techniques using biomedical signals: a review
... EEG biomedical signal), (b) the coefficients generated from the rational system give a very compact representation of the signal, and hence, they can be used as features to detect the seizures, (c) the elementary ...
19
A Review on Adaptive Filtering Techniques for Power Line Interference Removal from Biomedical Signals
... Wang Sanxiu and Jiang Shengtao have proposed an independent component analysis (ICA) technique to remove PLI from ECG signal in [15]. ICA is an innovative method of Blind Source Separation (BBS) [15]. Its aim is to ...
8
Denoising of NIRS Measured Biomedical Signals
... the signals which are modeled in (1) an optimization approach is presented that combines the LTI and sparsity based denoising to extract a low-pass and a sparse signal from a single noisy additive ...
11
Adaptive Denoising of ECG Signal using Wavelet-based Wiener Filter and LMS Filtering
... (ECG) signals are important biomedical signals, which are reflective of an electrical activity of the ...ECG signals are one of the best understood signals being at the same time an ...
8
ECG Acquisition System and its Analysis using MATLAB
... Biomedical signals such as heart rate, respiration rate, saturation level of oxygen in blood, blood pressure are used for healthcare in daily life ...In biomedical engineering, biomedical ...
6
Intelligent and Effective Smart Helmet with EEG and ECG Analyzing Strategies
... of biomedical signals from helmet based system,” in Proceedings of the IEEE International Conference on Engineering in Medicine and Biology Society (EMBC), 2007, ...
6
A Review on Biomedical Signal Processing
... Biomedical signal processing mainly focuses on the innovative applications of signal processing methods in biomedical signals through numerous creative integration of methods and biomedical ...
5
Advanced Health Monitoring and Receiving Using Smartphone in Global Networks
... of biomedical signals is critical for the advancement of diagnosis as well as treatment of cardiovascular diseases by using wireless wearable ...recorded biomedical signals could support ...
5
Noise immune Bio Potential Amplifier Design for Neural Amplifying Applications
... in biomedical applications. Monitoring different bio signals of the human body is very important since it helps to know vital health information of the human body from the acquired data ...diseases. ...
7
Reliable Automated Telemedicine System Using IOT
... the biomedical signals are collected by WMSs for medical purposes, using them for authentication does not require any extra device that is not already on the ...of biomedical signals collected ...
7
Assessment the Performance of Biomedical Sciences and Medical Students in Diagnosing and Reporting of Histological/Histopathological Sections
... and Biomedical Sciences ...hand, Biomedical Sciences students after graduation need to go through medical schools and complete four additional years in histopathological ...
14
Heart Diseases Diagnosis Using Intelligent Algorithm Based on PCG Signal Analysis
... The objective of this paper is to propose an intelligent algorithm based on PCG signals to integrate the clinical decision support with computer-based pa- tient records. This could reduce medical errors, enhance ...
8
Biomedical waste management - a public health hazard: an overview of literature
... of biomedical waste management and handling rules among the people and health care workers is ...from biomedical waste, improper practices of waste disposal and poor control of waste disposal are the most ...
6
ENSEMBLE SELECTION AND OPTIMIZATION BASED ON SOFT SET THEORY FOR CUSTOMER CHURN CLASSIFICATION
... the biomedical knowledge and information to improve medical data analysis, problem solving, and decision making, motivated by efforts in the direction of growth in medical domain ...
8
Ethical considerations in the biomedical research: analysis of national biomedical research ethics guidelines in Iran
... for biomedical research ethics are approved by the “National Committee for Ethics in Biomedical Research” at the Iranian Ministry of Health and Medical Education as the regulatory body for biomedical ...
25
Biomedical Semantics: the Hub for Biomedical Research 2.0
... JBMS aims at publishing interdisciplinary research that crosses the traditional bound- aries between the involved disciplines (i.e. biology, medicine, mathematics, computer science, bioinformatics) and areas (knowledge ...
5
Exploring Two Biomedical Text Genres for Disease Recognition
... We found that of the two steps of disease recogni- tion, disease mention gets the higher inter- annotator agreement (vs. concept mapping). We have applied a statistical and an NLP method for the automatic recognition of ...
9