Vignesh Ravichandran

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 21

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Publications

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)
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)
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) (2023)
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)
Gozde Cay, Vignesh Ravichandran, Shehjar Sadhu, Alyssa H. 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 (2022)
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) (2022)
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 (2022)
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)
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 (2020)
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)
Sricharan Vijayarangan, Balamurali Murugesan, Vignesh Ravichandran, Preejith S. P, Jayaraj Joseph, Mohanasankar Sivaprakasam
Interpreting Deep Neural Networks for Single-Lead ECG Arrhythmia Classification. CoRR (2020)
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)
Vignesh Ravichandran, Balamurali Murugesan, Sharath M. Shankaranarayana, Keerthi Ram, Preejith S. P, Jayaraj Joseph, Mohanasankar Sivaprakasam
Deep Network for Capacitive ECG Denoising. CoRR (2019)
Vignesh Ravichandran, Balamurali Murugesan, Sharath M. Shankaranarayana, Keerthi Ram, Preejith S. P, Jayaraj Joseph, Mohanasankar Sivaprakasam
Deep Network for Capacitive ECG Denoising. MeMeA (2019)
Shyam A, Vignesh Ravichandran, Preejith S. P, Jayaraj Joseph, Mohanasankar Sivaprakasam
PPGnet: Deep Network for Device Independent Heart Rate Estimation from Photoplethysmogram. EMBC (2019)
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)
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 (2019)
Shyam A, Vignesh Ravichandran, Preejith S. P, Jayaraj Joseph, Mohanasankar Sivaprakasam
PPGnet: Deep Network for Device Independent Heart Rate Estimation from Photoplethysmogram. CoRR (2019)
Vignesh Ravichandran, Can Li, Ali BanaGozar, J. Joshua Yang, Qiangfei Xia
Artificial neural networks based on memristive devices. Sci. China Inf. Sci. 61 (6) (2018)
Balamurali Murugesan, Vignesh Ravichandran, Keerthi Ram, S. P. Preejith, Jayaraj Joseph, Sharath M. Shankaranarayana, Mohanasankar Sivaprakasam
ECGNet: Deep Network for Arrhythmia Classification. MeMeA (2018)
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) (2016)