Chetanya Puri

According to our database, Chetanya Puri authored at least 23 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Daily Pain Prediction in Workplace Using Gaussian Processes.

Chetanya Puri, Stijn Keyaerts, Maxwell Szymanski, Lode Godderis, Katrien Verbert, Stijn Luca, Bart Vanrumste

Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, 2023

2022

Forecasting Time Series in Healthcare With Gaussian Processes and Dynamic Time Warping Based Subset Selection.

Chetanya Puri, Gerben Kooijman, Bart Vanrumste, Stijn Luca

IEEE J. Biomed. Health Informatics, 2022

2021

A Personalized Bayesian Approach for Early Intervention in Gestational Weight Gain Management Toward Pregnancy Care.

Chetanya Puri, Gerben Kooijman, Felipe Masculo, Shannon Van Sambeek, Sebastiaan Den Boer, Jo Hua, Nan Huang, Henry Ma, Yafang Jin, Fan Ling, Guanghui Li, Dongtao Zhang, Xiaochun Wang, Stijn Luca, Bart Vanrumste

IEEE Access, 2021

Feature selection for unbiased imputation of missing values: A case study in healthcare.

Chetanya Puri, Gerben Kooijman, Xi Long, Paul Hamelmann, Sima Asvadi, Bart Vanrumste, Stijn Luca

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Gestational weight gain prediction using privacy preserving federated learning.

Chetanya Puri, Koustabh Dolui, Gerben Kooijman, Felipe Masculo, Shannon Van Sambeek, Sebastiaan Den Boer, Sam Michiels, Hans Hallez, Stijn Luca, Bart Vanrumste

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2019

Privacy preserving pregnancy weight gain management: demo abstract.

Chetanya Puri, Koustabh Dolui, Gerben Kooijman, Felipe Masculo, Shannon Van Sambeek, Sebastiaan Den Boer, Sam Michiels, Hans Hallez, Stijn Luca, Bart Vanrumste

Proceedings of the 17th Conference on Embedded Networked Sensor Systems, 2019

PREgDICT : Early prediction of gestational weight gain for pregnancy care.

Chetanya Puri, Gerben Kooijman, Felipe Masculo, Shannon Van Sambeek, Sebastiaan Den Boer, Stijn Luca, Bart Vanrumste

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018

AutoModeling: Integrated Approach for Automated Model Generation by Ensemble Selection of Feature Subset and Classifier.

Arijit Ukil, Ishan Sahu, Chetanya Puri, Ayan Mukherjee, Rituraj Singh, Soma Bandyopadhyay, Arpan Pal

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Effective Noise Removal and Unified Model of Hybrid Feature Space Optimization for Automated Cardiac Anomaly Detection Using Phonocardiogarm Signals.

Arijit Ukil, Soma Bandyopadhyay, Chetanya Puri, Rituraj Singh, Arpan Pal

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Pattern Analysis in Physiological Pulsatile Signals: An Aid to Personalized Healthcare.

Soma Bandyopadhyay, Arijit Ukil, Chetanya Puri, Rituraj Singh, Arpan Pal, C. A. Murthy

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017

Heartmate: automated integrated anomaly analysis for effective remote cardiac health management.

Arijit Ukil, Soma Bandyopadhyay, Chetanya Puri, Rituraj Singh, Arpan Pal, Ayan Mukherjee

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Analysis of phonocardiogram signals through proactive denoising using novel self-discriminant learner.

Chetanya Puri, Rituraj Singh, Soma Bandyopadhyay, Arijit Ukil, Ayan Mukherjee

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

Identifying Normal, AF and other Abnormal ECG Rhythms using a Cascaded Binary Classifier.

Shreyasi Datta, Chetanya Puri, Ayan Mukherjee, Rohan Banerjee, Anirban Dutta Choudhury, Rituraj Singh, Arijit Ukil, Soma Bandyopadhyay, Arpan Pal, Sundeep Khandelwal

Proceedings of the Computing in Cardiology, 2017

2016

3S: Sensing Sensor Signal: Demo Abstract.

Soma Bandyopadhyay, Arijit Ukil, Rituraj Singh, Chetanya Puri, Arpan Pal, C. A. Murthy

Proceedings of the 14th ACM Conference on Embedded Network Sensor Systems, SenSys 2016, 2016

iCarMa: Inexpensive Cardiac Arrhythmia Management - An IoT Healthcare Analytics Solution.

Chetanya Puri, Arijit Ukil, Soma Bandyopadhyay, Rituraj Singh, Arpan Pal, Kayapanda M. Mandana

Proceedings of the First Workshop on IoT-enabled Healthcare and Wellness Technologies and Systems, 2016

SensIPro: Smart sensor analytics for Internet of things.

Soma Bandyopadhyay, Arijit Ukil, Chetanya Puri, Rituraj Singh, Tulika Bose, Arpan Pal

Proceedings of the IEEE Symposium on Computers and Communication, 2016

Heart-trend: An affordable heart condition monitoring system exploiting morphological pattern.

Arijit Ukil, Soma Bandyopadhyay, Chetanya Puri, Arpan Pal

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

An unsupervised learning for robust cardiac feature derivation from PPG signals.

Soma Bandyopadhyay, Arijit Ukil, Chetanya Puri, Rituraj Singh, Arpan Pal, K. M. Mandana, C. A. Murthy

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

CardioFit: Affordable Cardiac Healthcare Analytics for Clinical Utility Enhancement.

Arijit Ukil, Soma Bandyopadhyay, Chetanya Puri, Rituraj Singh, Arpan Pal, K. M. Mandana

Proceedings of the eHealth 360°, 2016

Cardiac Condition Monitoring through Photoplethysmogram Signal Denoising Using Wearables: Can We Detect Coronary Artery Disease with Higher Performance Efficacy?

Arijit Ukil, Soma Bandyopadhyay, Chetanya Puri, Arpan Pal, Kayapanda M. Mandana

Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016

Classification of Normal and Abnormal Heart Sound Recordings through Robust Feature Selection.

Chetanya Puri, Arijit Ukil, Soma Bandyopadhyay, Rituraj Singh, Arpan Pal, Ayan Mukherjee, Debayan Mukherjee

Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016

IoT Healthcare Analytics: The Importance of Anomaly Detection.

Arijit Ukil, Soma Bandyopadhyay, Chetanya Puri, Arpan Pal

Proceedings of the 30th IEEE International Conference on Advanced Information Networking and Applications, 2016

2015

Demo: IAS: Information Analytics for Sensors.

Soma Bandyopadhyay, Arijit Ukil, Chetanya Puri, Arpan Pal, Rituraj Singh, Tulika Bose

Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems, 2015