Akash Maity
I am a Ph.D researcher at Digital Health Labs, Rice University.
Bio: I am a PhD student at Rice University supervised by Ashutosh Sabharwal and Ashok Veeraraghavan. During my PhD studies, I interned at Snap Inc. in 2020 summer under the mentorship of Shree Nayar and Jian Wang. I also spent the spring semester of 2019 as a visiting student in Carnegie Mellon University, supervised by Srinivasa Narasimhan. I received my B.Tech in Electrical and Computer Engineering from Jadavpur University, and M.Sc. from Rice University.
For any inquiries, feel free to reach out to me via mail!
Relevant publications
RobustPPG: camera-based robust heart rate estimation using motion cancellation
Akash Maity, Jian Wang, Ashutosh Sabharwal, Shree Nayar
Biomedical Optics Express, 2022
Reliable heart rate extraction from camera-based systems is challenging in realistic scenarios, especially when the subject is moving. We develop a motion-robust algorithm, labeled RobustPPG that improves the quality of extracted rPPG signal (2 dB improvement) and the heart rate (30% improvement).
Project Page /
Akash Maity, Jian Wang, Ashutosh Sabharwal, Shree Nayar
Biomedical Optics Express, 2022
Reliable heart rate extraction from camera-based systems is challenging in realistic scenarios, especially when the subject is moving. We develop a motion-robust algorithm, labeled RobustPPG that improves the quality of extracted rPPG signal (2 dB improvement) and the heart rate (30% improvement).
Project Page /
@InProceedings{Maity2022,
author = {Akash Maity and Jian Wang and Ashutosh Sabharwal and Shree Nayar},
title = {RobustPPG: camera-based robust heart rate estimation using motion cancellation},
booktitle = {Biomedical Optics Express},
year = {2022},
}
PPGMotion: Model-based detection of motion artifacts in photoplethysmography signals
Akash Maity, Ashok Veeraraghavan, Ashutosh Sabharwal
Biomedical Signal Processing and Control, 2022
Motion activities degrade the quality of the contact-based PPG signal, thereby reducing the accuracy of heart-rate estimation. We develop PPGMotion which performs significantly better when motion tends to be periodic, with at least 10% increase in sensitivity in detecting motion artifacts in real datasets.
Akash Maity, Ashok Veeraraghavan, Ashutosh Sabharwal
Biomedical Signal Processing and Control, 2022
Motion activities degrade the quality of the contact-based PPG signal, thereby reducing the accuracy of heart-rate estimation. We develop PPGMotion which performs significantly better when motion tends to be periodic, with at least 10% increase in sensitivity in detecting motion artifacts in real datasets.
@InProceedings{Maity2022a,
author = {Akash Maity and Ashok Veeraraghavan and Ashutosh Sabharwal},
title = {PPGMotion: Model-based detection of motion artifacts in photoplethysmography signals},
booktitle = {Biomedical Signal Processing and Control},
year = {2022},
}
High Resolution Diffuse Optical Tomography using Short Range Indirect Subsurface Imaging (Best paper honorable mention)
Chao Liu, Akash Maity, Artur Dubrawski, Ashutosh Sabharwal, Srinivasa Narasimhan
2020 IEEE International Conference on Computational Photography (ICCP), 2020
Traditional diffuse optical tomography uses a few source-detector pairs and recover the absorptive structures with a poor spatial resolution. Further, increasing the resolution requires prohibitive computations/storage. In this work, we present a fast imaging and algorithm for high resolution diffuse optical tomography with a line imaging and illumination system.
Project Page / Code /
Chao Liu, Akash Maity, Artur Dubrawski, Ashutosh Sabharwal, Srinivasa Narasimhan
2020 IEEE International Conference on Computational Photography (ICCP), 2020
Traditional diffuse optical tomography uses a few source-detector pairs and recover the absorptive structures with a poor spatial resolution. Further, increasing the resolution requires prohibitive computations/storage. In this work, we present a fast imaging and algorithm for high resolution diffuse optical tomography with a line imaging and illumination system.
Project Page / Code /
@InProceedings{Liu2020a,
author = {Chao Liu and Akash Maity and Artur Dubrawski and Ashutosh Sabharwal and Srinivasa Narasimhan},
title = {High Resolution Diffuse Optical Tomography using Short Range Indirect Subsurface Imaging},
booktitle = {2020 IEEE International Conference on Computational Photography (ICCP)},
year = {2020},
}
Experimental integration of a spatial frequency domain spectroscopy and pulse cam system for quantifying changes in skin optical properties and vasculature among individuals with obesity
Andres Rodriguez, Tananant Boonya-ananta, Akash Maity, Ashok Veeraraghavan, Rolf Saager, Jessica Ramella-Roman
Photonics in Dermatology and Plastic Surgery 2020, 2020
Currently, the impact of higher body mass index (BMI) on the accuracy of estimated clinical metrics like heart rate and blood perfusion from optical sensors is unknown. In this study, we combine the spatial frequency domain spectroscopy (SFDS) with a multi-sensor blood flow imaging device (PulseCam) to characterize the optical properties and monitor the vascularization in the obese.
Andres Rodriguez, Tananant Boonya-ananta, Akash Maity, Ashok Veeraraghavan, Rolf Saager, Jessica Ramella-Roman
Photonics in Dermatology and Plastic Surgery 2020, 2020
Currently, the impact of higher body mass index (BMI) on the accuracy of estimated clinical metrics like heart rate and blood perfusion from optical sensors is unknown. In this study, we combine the spatial frequency domain spectroscopy (SFDS) with a multi-sensor blood flow imaging device (PulseCam) to characterize the optical properties and monitor the vascularization in the obese.
@InProceedings{Rodriguez2020,
author = {Andres Rodriguez and Tananant Boonya-ananta and Akash Maity and Ashok Veeraraghavan and Rolf Saager and Jessica Ramella-Roman},
title = {Experimental integration of a spatial frequency domain spectroscopy and pulse cam system for quantifying changes in skin optical properties and vasculature among individuals with obesity},
booktitle = {Photonics in Dermatology and Plastic Surgery 2020},
year = {2020},
}
Multifractal Detrended Fluctuation Analysis of alpha and theta EEG rhythms with musical stimuli
Akash Maity, Ruchira Pratihar, Anubrato Mitra, Subham Dey, Vishal Agrawal, Shankha Sanyal, Archi Banerjee, Ranjan Sengupta, Dipak Ghosh
Chaos, Solitons & Fractals, 2015
Electroencephalography (EEG) was performed on a small dataset using a simple acoustical stimuli. Our novel analyses gives interesting insights into neural activation of the alpha and theta brain rhythms while listening to simple acoustical stimuli.
Akash Maity, Ruchira Pratihar, Anubrato Mitra, Subham Dey, Vishal Agrawal, Shankha Sanyal, Archi Banerjee, Ranjan Sengupta, Dipak Ghosh
Chaos, Solitons & Fractals, 2015
Electroencephalography (EEG) was performed on a small dataset using a simple acoustical stimuli. Our novel analyses gives interesting insights into neural activation of the alpha and theta brain rhythms while listening to simple acoustical stimuli.
@InProceedings{Maity2015,
author = {Akash Maity and Ruchira Pratihar and Anubrato Mitra and Subham Dey and Vishal Agrawal and Shankha Sanyal and Archi Banerjee and Ranjan Sengupta and Dipak Ghosh},
title = {Multifractal Detrended Fluctuation Analysis of alpha and theta EEG rhythms with musical stimuli},
booktitle = {Chaos, Solitons & Fractals},
year = {2015},
}
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