Nusrat, Tasin
Mayo Clinic
South Dakota School of Mines and Technology
Citations 2
ON THE DESIGN OF ULTRA-WIDE BAND ANTIPODAL VIVALDI ANTENNA FOR BIOMEDICAL SENSORS
Samaddar, Poulami , Nusrat, Tasin , Gaddam, Sunil , Leggett, Cadman L. , Mitra, Dipankar , Arunachalam, S P , Leggett, Cadman L , Dey, Shuvashis , Roy, Sayan , Arunachalam, Shivaram P.
2023 Design of Medical Devices Conference | June 12, 2023 | Volume: No volume available | Issue: No issue available | Pages: No page available
Abstract Designing an effective antenna is very important to utilize microwave imaging. A high gain antipodal antenna designed with ultra-wideband frequency range is presented here. The simulated results are validated with measured data. The antenna can operate within the Ultra band frequency range of 3 to 8 GHz. The maximum gain of 2.96 dBi is obtained at 4 GHz. An experiment with biological tissues is also done to show the effectiveness of the antenna using as a resonator.
Applications of Microwaves in Medicine Leveraging Artificial Intelligence: Future Perspectives
Gopalakrishnan, Keerthy, Adhikari, Aakriti , Pallipamu, Namratha, Singh, Mansunderbir, Nusrat, Tasin , Gaddam, Sunil , Samaddar, Poulami , Rajagopal, Anjali , Cherukuri, Akhila Sai Sree, Yadav, Anmol, Manga, Shreya Sai, Damani, Devanshi N. , Shivaram, Suganti, Dey, Shuvashis , Roy, Sayan , Mitra, Dipankar , Arunachalam, Shivaram P. , Arunachalam, S P , Dey, Shuvashis , Roy, Sayan , Shivaram, Suganti
Electronics | February 24, 2023 | Volume: 12 | Issue: 5 | Pages: 1101
Microwaves are non-ionizing electromagnetic radiation with waves of electrical and magnetic energy transmitted at different frequencies. They are widely used in various industries, including the food industry, telecommunications, weather forecasting, and in the field of medicine. Microwave applications in medicine are relatively a new field of growing interest, with a significant trend in healthcare research and development. The first application of microwaves in medicine dates to the 1980s in the treatment of cancer via ablation therapy; since then, their applications have been expanded. Significant advances have been made in reconstructing microwave data for imaging and sensing applications in the field of healthcare. Artificial intelligence (AI)-enabled microwave systems can be developed to augment healthcare, including clinical decision making, guiding treatment, and increasing resource-efficient facilities. An overview of recent developments in several areas of microwave applications in medicine, namely microwave imaging, dielectric spectroscopy for tissue classification, molecular diagnostics, telemetry, biohazard waste management, diagnostic pathology, biomedical sensor design, drug delivery, ablation treatment, and radiometry, are summarized. In this contribution, we outline the current literature regarding microwave applications and trends across the medical industry and how it sets a platform for creating AI-based microwave solutions for future advancements from both clinical and technical aspects to enhance patient care.