Workshop On Advanced Hands-On Training on Biomedical Signal Acquisition and Analysis at NIT Raipur [SERB Sponsored; KARYASHALA Scheme May 23-29, 2023]: Register by May 8
Online Registrations are invited for Workshop On Advanced Hands-On Training on Biomedical Signal Acquisition and Analysis at NIT Raipur. The last date to get registered is May 08, 2023.
Course Provider: Organization
Course Provider Name: NIT Raipur
Course Provider URL: http://www.nitrr.ac.in/downloads/events/STTP/2023/Karyashala20AHTBSAA__NITRR.pdf
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Online Registrations are invited for Workshop On Advanced Hands-On Training on Biomedical Signal Acquisition and Analysis at NIT Raipur. The last date to get registered is May 08, 2023.
About NIT Raipur
National Institute of Technology Raipur (Formerly Government Engineering College Raipur), situated in the capital of a newly incepted state of Chhattisgarh, has proven to be “avant-grade’ in the field of science and technology over the past few decades in this region. With sweet memory of the foundation ceremony by our president Hon’ble Dr. Rajendra Prasad on 14th September 1956.
About KARYASHALA
The KARYASHALA scheme by SERB, Government of India is meant for skill development training on topics required for scientific research work. It is an effort to improve the research productivity of promising PG and Ph.D. students from universities and colleges through high-end workshops on specific themes. This program aims to provide opportunities to acquire specialized research skills.
About the Workshop
Biomedical signals recorded from the human body provide vital information about the physiological functioning of different internal organs and prove to be highly beneficial in the healthcare domain. The Artificial Intelligence (AI) and Machine Learning (ML) approaches have been very influential in diagnosing and interpreting various health issues via bio-signal processing.
- The purpose of this high-end workshop is to introduce the computer-based data acquisition technique and analysis of various biomedical signals such as ECG, EEG, EMG, PPG, etc.
- Various preprocessing and noise removal techniques will be explained. An understanding of feature extraction and feature selection methods is also provided.
- The focus of the workshop will be on the recent advances in artificial intelligence and machine learning tools, as well as their applications in the field of healthcare.
- Overall, the workshop will help the participants in gaining knowledge about biomedical signals, their acquisition, and the applicability of AI and ML techniques for computer-aided diagnosis and prognosis of various medical issues.
Session Topics
- Introduction to Biomedical Signals.
- Acquisition of biomedical signals (ECG, EEG, EMG, PPG, etc.).
- Signal preprocessing and noise removal.
- Feature extraction and selection.
- Overview of Machine Learning (ML).
- Hands-on Artificial Intelligence (AI) programming tools.
- Case studies based on the application of AI and ML in healthcare.
Registration Guidelines
- Registration Fee: INR 2500/- (Refundable after successful completion of the course)
- Students selected for this workshop are eligible for travel allowance (TA) reimbursement (3rd AC) for their journey to and from NIT Raipur through the shortest route as per SERB and GoI norms.
- Accommodation will be provided at NIT Raipur Hostel.
- The maximum number of participants is limited to 25 and candidates will be selected on a merit basis.
- Only selected candidates will be informed by e-mail. Therefore, candidates must provide valid e-mail IDs in the application form.
- While filling out the application form, the candidate must upload their student ID card, NOC letter duly
- signed by the competent authority, and the latest CV.
- A certificate of participation would be issued to all participants.
How to Apply?
Interested Candidates can register using this link.
Target Audience
Students pursuing PG or Ph.D. courses in the relevant area are eligible to apply.
Location
Department of Biomedical Engineering, National Institute of Technology
Raipur, India, 492010.
Contact
For any clarification, please contact:
- Phone No.: 7000469560.
- E-Mail: bsingh[dot]bme[at]nitrr[dot]ac[dot]in.
