Pivotal Study
- Sen-Gupta, E., Wright, D.E., Caccese, J.W., Wright Jr., J.A., Jortberg, E., Bhatkar, V., Ceruolo, M., Ghaffari, R., Clason, D.L., Maynard, J.P., Combs, A.H. (2019) "A Pivotal Study to Validate the Performance of a Novel Wearable Sensor and System for Biometric Monitoring in Clinical and Remote Environments," Digital Biomarkers 3:1-13
UCB Collaboration
- Boroojerdi, B., Ghaffari, R., Mahadevan, N., Markowitz, M., Melton, K., Morey, B., Otoul, C., Patel, S., Phillips, J., Sen-Gupta, E., Stumpp, O., Tatla, D., Terricabras, D., Claes, K., Wright, J. A., Sheth, N. (2019) "Clinical Feasibility of a Wearable, Conformable Sensor Patch to Monitor Motor Symptoms in Parkinson’s Disease," Parkinsonism and Related Disorders 61:70-76
- Boroojerdi, B., Claes, K., Ghaffari, R., Mahadevan, N., Markowitz, M., Melton, K., Morey, B., Otoul, C., Patel, S., Phillips, J., Sen-Gupta, E., Stumpp, O., Tatla, D., Wright, J. A., Sheth, N. (2017) "Clinical Feasibility of a Wearable, Conformable Sensor Patch to Monitor Motor Symptoms in Parkinson’s Disease," 21st International Congress of Parkinson's Disease and Movement Disorders (Poster)
Movement Phenotyping
Motor Symptoms / Parkinson's / Huntington's
- Jamie L. Adamsa, Karthik Dinesh, Mulin Xiong, Christopher G. Tarolli, Saloni Sharma, Nirav Sheth, A.J. Aranyosi, William Zhu, Steven Goldenthal, Kevin M. Biglan, E. Ray Dorsey, Gaurav Sharma, (2017) "Multiple Wearable Sensors in Parkinson and Huntington Disease Individuals: A Pilot Study in Clinic and at Home," Digital Biomarkers 1:52-63
- Sharma, G., "'Digital Biomarkers' for Huntington's Disease using Multible Body-affixed, Light-weight Sensors," University of Rochester
- K. Dinesh, M. Xiong, J. Adams, R. Dorsey, and G. Sharma, “Signal analysis for detecting motor symptoms in parkinson's and huntington's disease using multiple body-affixed sensors: A pilot study,” in Proc. IEEE Western NY Image and Signal Proc. Workshop (WNYISPW) , Nov. 2016.
- Boroojerdi, B., Ghaffari, R., Mahadevan, N., Markowitz, M., Melton, K., Morey, B., Otoul, C., Patel, S., Phillips, J., Sen-Gupta, E., Stumpp, O., Tatla, D., Terricabras, D., Claes, K., Wright Jr, J. A., Sheth, N. (2018) "Clinical Feasibility of a Wearable, Conformable Sensor Patch to Monitor Motor Symptoms in Parkinson’s Disease," Parkinsonism & Related Disorders.
- Jortberg, E., Silva, I., Bhatkar, V., McGinnis, R. S., Sen-Gupta, E., Morey, B., Wright Jr, J. A., Pindado, J., Bianchi, M. T. (2018) “A Novel Adhesive Biosensor System for Detecting Respiration, Cardiac, and Limb Movement Signals During Sleep: Validation with Polysomnography,” Nature and Science of Sleep.
Gait / Balance / Multiple Sclerosis
- Sun, R., Moon, Y., McGinnis, R., Seagers, K., Motl, R. W., Sheth, N., Wright, J. A., Ghaffari, R., Sosnoff, J. J.(2017) Assessment of Postural Sway in Individuals with Multiple Sclerosis Using a Novel Wearable Inertial Sensor. Digit Biomark 2018;2:1-10
- Moon, Y., McGinnis, R., Seagers, K., Motl, R. W., Sheth, N., Wright, J. A., Ghaffari, R., Sosnoff, J. J.(2017) Monitoring gait in multiple sclerosis with novel wearable motion sensors. PLoS ONE 12(2): e0171346. doi:10.1371/journal.pone.0171346 (Paper)
- McGinnis, R., Mahadevan, N., Moon, Y., Seagers, K., Sheth, N., et al. (2017) A machine learning approach for gait speed estimation using skin-mounted wearable sensors: From healthy controls to individuals with multiple sclerosis. PLOS ONE 12(6): e0178366.
- Sun, R., Moon, Y., McGinnis, R., Seagers, K., Motl, R. W., Seth, N., Wright, J. A., Ghaffari, R., Sosnoff, J. J. (2017) A Soft, Flexible Skin-Mounted Sensor for Monitoring Balance Deficits in People with Multiple Sclerosis. The Consortium of Multiple Sclerosis Centers Annual Meeting. (Poster)
- van Werkhoven, H., Farina, K.A., Langley, M.H. (2019) Using a Soft Conformable Foot Sensor to Measure Changes in Foot Strike Angle During Running. Sports 7(8), 184
Other Movement
- Doheny, E.P., Goulding, C., Lowery, M.M. (2019) Regression-based analysis of front crawl swimming using upper-arm mounted accelerometers. IEEE.
Cardiac
- Kabir, M. M., Perez-Alday, E., Thomas, J., Sedaghat, G., Tereshchenko, L. (2016) Optimal configuration of adhesive ECG patches suitable for long-term monitoring of a vectorcardiogram Journal of Electrocardiology:10.1016/j.jelectrocard.2016.12.005
Range of Motion
- McGinnis, R., Patel S., Silvaro, I., Mahadevan, N., DiCristofaro, S., Jortberg, E., Ceruolo, M., and Aranyosi, A. J. (2016) Skin Mounted Accelerometer System for Measuring Knee Range of Motion. IEEE EMBC (Poster)
Data Science and Machine Learning
- McGinnis, R., Mahadevan, N., Moon, Y., Seagers, K., Sheth, N., et al. (2017) A machine learning approach for gait speed estimation using skin-mounted wearable sensors: From healthy controls to individuals with multiple sclerosis. PLOS ONE 12(6): e0178366.
- Patel, S., McGinnis, R., Silva, I., DiCristofaro, S., Mahadevan, N., Jortberg, E., Franco, J., Martin, A., Lust, J., Raj, M., McGrane, B., Petrillo, P., Aranyosi, A. J., Ceruolo, M., Pindado, J., Ghaffari, R. (2016) A Wearable Computing Platform for Developing Cloud-based Machine Learning Models for Health Monitoring Applications. IEEE EMBC.
- A. Nadeau, K. D. Dinesh, G. Sharma, and M. Xiong, “In-situ calibration of accelerometers in body-worn sensors using quiescent gravity,” in Proc. IEEE Intl. Conf. Acoustics Speech and Sig. Proc. , New Orleans, USA, March 2017, p. 2192-2196.
- Lonini, L., Dai, A., Shawen, N., Simuni, T., Poon, C., Shimanovich, L., Daeschler, M., Ghaffari, R., Rogers, J. A., Jayaraman, A. (2018) “Wearable Sensors for Parkinson’s Disease: Which Data Are Worth Collecting for Training Symptom Detection Models,” Digital Medicine.