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Vignesh Ravichandran
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2020 – today
- 2023
- [j6]Vignesh Ravichandran
, Shehjar Sadhu, Daniel Convey, Sebastien Guerrier, Shubham Chomal
, Anne-Marie Dupre
, Umer Akbar, Dhaval Solanki
, Kunal Mankodiya
:
iTex Gloves: Design and In-Home Evaluation of an E-Textile Glove System for Tele-Assessment of Parkinson's Disease. Sensors 23(6): 2877 (2023) - [c10]Md Abdullah Al Rumon
, Vignesh Ravichandran, Suparna Veeturi, Jim Owens, Deepesh Kumar, Dhaval Solanki, Kunal Mankodiya:
ElboSense: A Novel Capacitive Strain Sensor for Textile-Based Elbow Movement Monitoring. BSN 2023: 1-4 - [c9]Shehjar Sadhu, Vignesh Ravichandran, Nicholas Constant, Umer Akbar, Kunal Mankodiya, Dhaval Solanki:
Exploring the Impact of Parkinson's Medication Intake on Motor Exams Performed in-home Using Smart Gloves. BSN 2023: 1-4 - 2022
- [j5]Gozde Cay
, Vignesh Ravichandran, Shehjar Sadhu, Alyssa Hillary Zisk
, Amy L. Salisbury, Dhaval Solanki
, Kunal Mankodiya
:
Recent Advancement in Sleep Technologies: A Literature Review on Clinical Standards, Sensors, Apps, and AI Methods. IEEE Access 10: 104737-104756 (2022) - [j4]Gozde Cay
, Dhaval Solanki
, Md Abdullah Al Rumon
, Vignesh Ravichandran
, Laurie Hoffman, Abbot Laptook, James Padbury, Amy L. Salisbury, Kunal Mankodiya
:
NeoWear: An IoT-connected e-textile wearable for neonatal medical monitoring. Pervasive Mob. Comput. 86: 101679 (2022) - [j3]Gozde Cay
, Vignesh Ravichandran, Manob Jyoti Saikia
, Laurie Hoffman, Abbot Laptook, James Padbury, Amy L. Salisbury, Anna Gitelson-Kahn, Krishna K. Venkatasubramanian, Yalda Shahriari, Kunal Mankodiya
:
An E-Textile Respiration Sensing System for NICU Monitoring: Design and Validation. J. Signal Process. Syst. 94(6): 543-557 (2022) - [c8]Dhaval Solanki
, Gozde Cay, Md Abdullah Al Rumon
, Vignesh Ravichandran
, Kunal Mankodiya:
A Step Towards Design and Validation of a Wearable Multi-Sensory Smart-Textile System for Respiration Monitoring. IEEE SENSORS 2022: 1-4 - 2021
- [c7]Gozde Cay
, Dhaval Solanki
, Vignesh Ravichandran, Laurie Hoffman, Abbot Laptook, James Padbury, Amy L. Salisbury, Kunal Mankodiya
:
Baby-Guard: An IoT-based Neonatal Monitoring System Integrated with Smart Textiles. SMARTCOMP 2021: 129-136 - 2020
- [c6]Sricharan Vijayarangan, Balamurali Murugesan, Vignesh Ravichandran, S. P. Preejith, Jayaraj Joseph
, Mohanasankar Sivaprakasam:
Interpreting Deep Neural Networks for Single-Lead ECG Arrhythmia Classification. EMBC 2020: 300-303 - [c5]Sricharan Vijayarangan, Vignesh Ravichandran
, Balamurali Murugesan, Preejith S. P, Jayaraj Joseph
, Mohanasankar Sivaprakasam:
RPnet: A Deep Learning approach for robust R Peak detection in noisy ECG. EMBC 2020: 345-348 - [i5]Sricharan Vijayarangan, Balamurali Murugesan, Vignesh Ravichandran, Preejith S. P, Jayaraj Joseph, Mohanasankar Sivaprakasam:
Interpreting Deep Neural Networks for Single-Lead ECG Arrhythmia Classification. CoRR abs/2004.05399 (2020) - [i4]Sricharan Vijayarangan, Vignesh Ravichandran, Balamurali Murugesan, Preejith S. P, Jayaraj Joseph, Mohanasankar Sivaprakasam:
RPnet: A Deep Learning approach for robust R Peak detection in noisy ECG. CoRR abs/2004.08103 (2020)
2010 – 2019
- 2019
- [c4]Shyam A, Vignesh Ravichandran, Preejith S. P, Jayaraj Joseph
, Mohanasankar Sivaprakasam:
PPGnet: Deep Network for Device Independent Heart Rate Estimation from Photoplethysmogram. EMBC 2019: 1899-1902 - [c3]Vignesh Ravichandran, Balamurali Murugesan
, Vaishali Balakarthikeyan, Keerthi Ram, Preejith S. P, Jayaraj Joseph
, Mohanasankar Sivaprakasam:
RespNet: A deep learning model for extraction of respiration from photoplethysmogram. EMBC 2019: 5556-5559 - [c2]Vignesh Ravichandran, Balamurali Murugesan
, Sharath M. Shankaranarayana, Keerthi Ram, Preejith S. P, Jayaraj Joseph
, Mohanasankar Sivaprakasam:
Deep Network for Capacitive ECG Denoising. MeMeA 2019: 1-6 - [i3]Vignesh Ravichandran, Balamurali Murugesan, Vaishali Balakarthikeyan, Sharath M. Shankaranarayana, Keerthi Ram, S. P. Preejith, Jayaraj Joseph, Mohanasankar Sivaprakasam:
RespNet: A deep learning model for extraction of respiration from photoplethysmogram. CoRR abs/1902.04236 (2019) - [i2]Shyam A, Vignesh Ravichandran, Preejith S. P, Jayaraj Joseph, Mohanasankar Sivaprakasam:
PPGnet: Deep Network for Device Independent Heart Rate Estimation from Photoplethysmogram. CoRR abs/1903.08912 (2019) - [i1]Vignesh Ravichandran, Balamurali Murugesan, Sharath M. Shankaranarayana, Keerthi Ram, Preejith S. P, Jayaraj Joseph, Mohanasankar Sivaprakasam:
Deep Network for Capacitive ECG Denoising. CoRR abs/1903.12536 (2019) - 2018
- [j2]Vignesh Ravichandran, Can Li
, Ali BanaGozar, J. Joshua Yang
, Qiangfei Xia:
Artificial neural networks based on memristive devices. Sci. China Inf. Sci. 61(6): 060423:1-060423:14 (2018) - [c1]Balamurali Murugesan
, Vignesh Ravichandran, Keerthi Ram
, S. P. Preejith, Jayaraj Joseph
, Sharath M. Shankaranarayana, Mohanasankar Sivaprakasam:
ECGNet: Deep Network for Arrhythmia Classification. MeMeA 2018: 1-6 - 2016
- [j1]Steven N. Hart
, Kara N. Maxwell, Tinu Thomas, Vignesh Ravichandran
, Bradley Wubberhorst, Robert J. Klein
, Kasmintan Schrader
, Csilla Szabo, Jeffrey N. Weitzel
, Susan L. Neuhausen, Katherine Nathanson
, Kenneth Offit, Fergus J. Couch, Joseph Vijai
:
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. 17(4): 672-677 (2016)
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