Dr. Amitesh Kumar Profile

Dr. Amitesh Kumar

Assistant Professor at Indian Institute of Technology (Indian School of Mines) Dhanbad

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Publications (4)

SPIE Journal Paper | 1 August 2023 Open Access

Noninvasive blood glucose sensing by secondary speckle pattern artificial intelligence analyses

Deep Pal, Amitesh Kumar, Nave Avraham, Yoram Eisenbach, Yevgeny Beiderman, Sergey Agdarov, Yafim Beiderman, Zeev Zalevsky

JBO, Vol. 28, Issue 08, 087001, (August 2023) https://doi.org/10.1117/12.10.1117/1.JBO.28.8.087001

KEYWORDS: Glucose, Blood, Magnetism, Speckle pattern, Data modeling, Education and training, Skin, Speckle, Plasma, Reflection

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SignificanceDiabetes is a prevalent disease worldwide that can cause severe health problems. Accurate blood glucose detection is crucial for diabetes management, and noninvasive methods can be more convenient and less painful than traditional finger-prick methods.AimWe aim to report a noncontact speckle-based blood glucose measurement system that utilizes artificial intelligence (AI) data processing to improve glucose detection accuracy. The study also explores the influence of an alternating current (AC) induced magnetic field on the sensitivity and selectivity of blood glucose detection.ApproachThe proposed blood glucose sensor consists of a digital camera, an AC-generated magnetic field source, a laser illuminating the subject’s finger, and a computer. A magnetic field is applied to the finger, and a camera records the speckle patterns generated by the laser light reflected from the finger. The acquired video data are preprocessed for machine learning (ML) and deep neural networks (DNNs) to classify blood plasma glucose levels. The standard finger-prick method is used as a reference for blood glucose level classification.ResultsThe study found that the noncontact speckle-based blood glucose measurement system with AI data processing allows for the detection of blood plasma glucose levels with high accuracy. The ML approach gives better results than the tested DNNs as the proposed data preprocessing is highly selective and efficient.ConclusionsThe proposed noncontact blood glucose sensing mechanism utilizing AI data processing and a magnetic field can potentially improve glucose detection accuracy, making it more convenient and less painful for patients. The system also allows for inexpensive blood glucose sensing mechanisms and fast blood glucose screening. The results suggest that noninvasive methods can improve blood glucose detection accuracy, which can have significant implications for diabetes management. Investigations involving representative sampling data, including subjects of different ages, gender, race, and health status, could allow for further improvement.

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SPIE Journal Paper | 5 September 2022 Open Access

Non-invasive blood glucose sensing by machine learning of optic fiber-based speckle pattern variation

Deep Pal, Sergey Agadarov, Yevgeny Beiderman, Yafim Beiderman, Amitesh Kumar, Zeev Zalevsky

JBO, Vol. 27, Issue 09, 097001, (September 2022) https://doi.org/10.1117/12.10.1117/1.JBO.27.9.097001

KEYWORDS: Glucose, Blood, Magnetism, Speckle pattern, Machine learning, Speckle, Multimode fibers, Sensors, Skin, Education and training

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SPIE Journal Paper | 23 May 2019

Microseismic wave detection in coal mines using differential optical power measurement

Abhinav Gautam, Amitesh Kumar, Vishnu Priye

OE, Vol. 58, Issue 05, 056111, (May 2019) https://doi.org/10.1117/12.10.1117/1.OE.58.5.056111

KEYWORDS: Fiber Bragg gratings, Land mines, Signal detection, Optical filters, Modulation, Palladium, Sensors, Laser sources, Channel projecting optics, Optical testing

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Proceedings Article | 1 March 2019 Paper

Highly sensitive FBG-based low-strain sensing system using carrier-suppressed phase modulation

Abhinaav Gautam, Amitesh Kumar, Ritu Raj Singh, Vishnu Priye

Proceedings Volume 10917, 1091723 (2019) https://doi.org/10.1117/12.2507745

KEYWORDS: Fiber Bragg gratings, Sensing systems, Power meters, Modulation, Optical filters, Signal detection, Laser sources, Edge detection, Phase modulation

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