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ORCIDVignesh 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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