Vignesh Ravichandran

Orcid: 0000-0001-5083-1900

According to our database1, Vignesh Ravichandran authored at least 17 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
iTex Gloves: Design and In-Home Evaluation of an E-Textile Glove System for Tele-Assessment of Parkinson's Disease.
Sensors, March, 2023

Exploring the Impact of Parkinson's Medication Intake on Motor Exams Performed in-home Using Smart Gloves.
Proceedings of the 19th IEEE International Conference on Body Sensor Networks, 2023

ElboSense: A Novel Capacitive Strain Sensor for Textile-Based Elbow Movement Monitoring.
Proceedings of the 19th IEEE International Conference on Body Sensor Networks, 2023

2022
An E-Textile Respiration Sensing System for NICU Monitoring: Design and Validation.
J. Signal Process. Syst., 2022

NeoWear: An IoT-connected e-textile wearable for neonatal medical monitoring.
Pervasive Mob. Comput., 2022

Recent Advancement in Sleep Technologies: A Literature Review on Clinical Standards, Sensors, Apps, and AI Methods.
IEEE Access, 2022

A Step Towards Design and Validation of a Wearable Multi-Sensory Smart-Textile System for Respiration Monitoring.
Proceedings of the 2022 IEEE Sensors, Dallas, TX, USA, October 30 - Nov. 2, 2022, 2022

2021
Baby-Guard: An IoT-based Neonatal Monitoring System Integrated with Smart Textiles.
Proceedings of the IEEE International Conference on Smart Computing, 2021

2020
RPnet: A Deep Learning approach for robust R Peak detection in noisy ECG.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Interpreting Deep Neural Networks for Single-Lead ECG Arrhythmia Classification.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019
RespNet: A deep learning model for extraction of respiration from photoplethysmogram.
CoRR, 2019

Deep Network for Capacitive ECG Denoising.
Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2019

RespNet: A deep learning model for extraction of respiration from photoplethysmogram.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

PPGnet: Deep Network for Device Independent Heart Rate Estimation from Photoplethysmogram.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018
Artificial neural networks based on memristive devices.
Sci. China Inf. Sci., 2018

ECGNet: Deep Network for Arrhythmia Classification.
Proceedings of the 2018 IEEE International Symposium on Medical Measurements and Applications, 2018

2016
Collaborative science in the next-generation sequencing era: a viewpoint on how to combine exome sequencing data across sites to identify novel disease susceptibility genes.
Briefings Bioinform., 2016


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