A5000313987- EEG and Brain-Computer Interfaces
- ECG Monitoring and Analysis
- Heart Rate Variability and Autonomic Control
- Non-Invasive Vital Sign Monitoring
- Advanced Chemical Sensor Technologies
- IoT and Edge/Fog Computing
- Advanced Drug Delivery Systems
- Neuroscience and Neural Engineering
- Artificial Intelligence in Healthcare
- Supramolecular Self-Assembly in Materials
- Seed and Plant Biochemistry
- Advances in Cucurbitaceae Research
- Neural dynamics and brain function
- Biosensors and Analytical Detection
- Spectroscopy and Chemometric Analyses
- Hydrogels: synthesis, properties, applications
- Food Chemistry and Fat Analysis
- biodegradable polymer synthesis and properties
- Context-Aware Activity Recognition Systems
- Fermentation and Sensory Analysis
- Phonocardiography and Auscultation Techniques
- Machine Learning in Healthcare
- Scientific and Engineering Research Topics
- Microbial Metabolites in Food Biotechnology
- Electrochemical sensors and biosensors
National Institute of Technology Rourkela
2019-2024
Woxsen School of Business
2024
Abstract The colorimetric analysis of food has gained much popularity in the last few decades. present study reports development a low‐cost color quality testing and process monitoring system. proposed device consists hardware software (Color Magic) combination, which may allow to be used either for or applications. In quality‐testing mode, captures image products through imaging Subsequently, processes acquired computes parameters RGB (red, green, blue), CIELAB, HSI (hue, saturation,...
The current study deciphers the processing of different proportions white flour and whole wheat (100:0, 75:25, 50:50: 25:75, 0:100) into a pizza base using yeast-based fermentation. bread making yeast system resulted in significant changes characteristics bread, ranging from porous structure development to crumb cellular modifications. An increase formation golden yellow bases. lightness crust was decreased, whereas yellowness index increased as contents were increased. pore size decreased...
The effect of coffee (caffeinated) on electro-cardiac activity is not yet sufficiently researched. In the current study, occurrence coffee-induced short-term changes in electrocardiogram (ECG) signals was examined. Further, a machine learning model that can efficiently detect alterations cardiac proposed. ECG were decomposed using three different joint time-frequency decomposition methods: empirical mode decomposition, discrete wavelet transforms, and packet with varying parameters. Various...
Wireless controllers have found its application in the supervision of patients hospitals. It is not only a valid issue for developing countries but also developed countries. For this reason, scientists are working on advancement medical devices that capable decreasing workload health caregivers. In study, development an iontophoretic drug delivery device could be controlled using mobile described. purpose, hardware and software module were developed. The consisted two-channel...