mHealth Wearables Sensors Lab

Vibhuti Gupta

Vibhuti Gupta, Ph.D.
Assistant Professor, Computer Science and Data Science

The focus of mHealth Wearable Sensors Lab is to design mHealth systems and develop computational methods for efficient processing of multimodal data streams generated from these systems, to produce early insights of life-threating diseases, and provide personalized care to patients. The overarching goal of this lab is to leverage the power of digital health devices (i.e., mHealth apps, wearable devices) to measure an individual’s physiological, psychological, social and environmental state and utilize that information for early diagnosis and prevention of complex human diseases.

Dr. Vibhuti Gupta is using novel computational techniques he developed in the past to analyze high frequency data captured from wearable sensor devices for the early detection of adverse clinical events in hematologic cancer patients. Currently, Dr. Gupta is leveraging the mHealth wearable sensors data and vocal data for early diagnosis and prediction of COVID-19. Below is a schematic illustration of Dr. Gupta’s current project on mHealth wearable sensor data analytics.

The lab includes an Apple iPhone SE and Apple Watch Series 8 to support digital health device research.

mhealth research illustration

Publications

Wang, Q., Gupta, V., Cao, A., Singhal, A., Gary, T., & Adunyah, S. E. A Case Study of Enhancing the Data Science Capacity of an RCMI Program at a Historically Black Medical College. International Journal of Environmental Research and Public Health, 2023, 20(6), 4775.

Ortiz, B. L., Gupta, V., Chong, J. W., Jung, K., & Dallas, T. User Authentication Recognition Process Using Long Short-Term Memory Model. Multimodal Technologies and Interaction, 2022, 6(12), 107.

Ortiz, B. L., Chong, J. W., Gupta, V., Shoushan, M., Jung, K., & Dallas, T. A Biometric Authentication Technique Using Smartphone Fingertip Photoplethysmography Signals. IEEE Sensors Journal, 2022, 22(14), 14237-14249.

Raj, M., Gupta, V., Hoodin, F., Clingan, C., Roslin, C., Yahng, L., & Choi, S. W. Evaluating mobile Health technology use among cancer caregivers in the digital era. Digital Health, 2022, 8, 20552076221109071.

Gupta, V. & Emirrah, S., Detection of Virus Integration Sites in Tumor Genomes Using Deep Convolutional Neural Networks, The 2022 world congress in Computer Science & Applied Computing (CSCE), July 25 – 28, 2022, Las Vegas, USA.

Presentations

Detection of Virus Integration Sites in Tumor Genomes Using Deep Convolutional Neural Networks
The 2022 world congress in Computer Science & Applied Computing (CSCE), July 25 – 28, 2022, Las Vegas, USA.

Analysis of Circular RNA levels in Prostate Cancer using Databases
Presented in RCMI Conference, Bethesda, Maryland, Apr 11 – 14, 2023.

Lab Members

Emirrah Sanders
M.S. Public Health
School of Graduate Studies
American Cancer Society Pilot Award

Julian M. Broughton
M.S. Biomedical Data Science

Aleesa Mann
M.S. Data Science
School of Applied Computational Sciences
NIH R25 Scholar

Lorrayya Williams
M.S. Data Science

We are currently accepting inquiries for student research. Contact Dr. Gupta at vgupta@mmc.edu for more information.

Grant Support

NSF Expanding AI Innovation through Capacity Building and Partnerships 
Gupta(PI) Co-PIs: Gary, Wallace, Ghosh
10/01/23 – 09/30/25, Amount: $395,703

The goal of this planning award is to build capacity for a potential AI institute at Meharry for doing foundational and use-inspired research on trustworthy AI in medical systems.

AIM-AHEAD Consortium Development Projects to Advance Health Equity
Gupta (PI), Pinky (Co-PI), Chen (Co-I)
09/17/23 – 09/16/25, Amount: $1,267,364

The objective of this consortium development project is to develop a unified and modular framework to systematically integrate clinical (Gleason scores, TNM stages), demographics (age, race, ethnicity, family history, geographic location), genomics (e.g., copy number variation), and imaging (histopathology, Computed Tomography, Magnetic Resonance) data, leveraging AI/ML techniques to computationally predict various PCa risk groups (low/intermediate vs. high) based on Gleason Scores, clinical and pathological stages, and address health disparity by incorporating SDOH factors (socioeconomic status, health care access etc.) andalgorithmic/data bias mitigation techniques.

NHLBI Supplement to K24HL156896-03  
Gupta (PI), Sung Won Choi (PI)
08/1/23 – 07/31/24,  Amount: $125,253

The goal of this supplement award is to develop high quality mHealth dataset generated from smartphones and wearable sensors.

NIMHD Supplement to RCMI Program in Health Disparities Research
Gupta
(PI), Adunyah (PI)
Co-Is: Gary, Nguyen, Pinky, Shillingford, Lockett, Mhlanga
08/1/23 – 05/31/24,  Amount: $218,250

MUREP Precollege Summer Institute (23-MUREP PSI-0005)
Levin (PI), Gupta (Co-I)
05/01/23 – 04/30/28 Amount: $418,448

The key objective of the program is to stimulate curiosity in the cross-cutting field of data science through data science-driven, hands-on, STEM activities deploying real-life application scenarios and industrial grade robotic systems.

NSF MRI (2117282)
Cao (PI), Gupta (Senior personnel)
10/01/2021 – 09/30/2024 Amount: $671,411

The goal of this project is to acquire a high-performance computing (HPC) system for the School of Applied Computational Sciences at Meharry Medical College.

ACS DCRIDG Pilot Award
Adunyah(Contact PI); Gupta(PI)
07/01/2021-06/30/2024 Amount: $45,000

The goal of this project is to detect virus integration sites in tumor genomes for the viruses responsible for cancer using deep learning techniques.

Completed Grant Projects

RCMI Supplement award (3U54MD007586-35S5)
Adunyah (contact PI); Wang (PI); Gupta (Co-I)
09/01/21 – 06/30/23 Amount: $727,500

This administrative supplement is purposed to help the data scientists in the School of Applied Computational Sciences at Meharry Medical College understand and address the computing needs of the RCMI (The Research Centers in Minority Institutions) researchers at Meharry, substantially enhance their data analytics skills, and foster collaborations with them.

Collaborators

Internal

Todd Gary, Ph.D.
Assistant Professor, Biomedical Data Science
Director, External Research Development Partnerships

Uttam Ghosh, Ph.D.
Associate Professor of Cybersecurity

Eugene Levin, Ph.D. CP
Professor, Spatial Data Science

Lubna Pinky, Ph.D.
Assistant Professor, Biomedical Physics

Ashutosh Singhal, Ph.D.
Chief Data Officer & Associate Vice-President, Enterprise Data and Analytics
Assistant Professor, Biomedical Data Science

Tim Wallace, Ph.D.
Professor, Computational Sciences

Qingguo Wang, Ph.D.
Professor, Computer Science and Data Science

External

Sung Won Choi
Michigan Medicine, Dept. of Hematology and Oncology
University of Michigan

Jo Woon Chong, Ph.D.
Electrical and Computer Engineering
Texas Tech University

Youping Deng, Ph.D.
Department of Quantitative Health Sciences
University of Hawaii Cancer Center

Hongmei Wang, Ph.D.
Pharmacy Practice
Texas Southern University

Jenna Weins, M.D., M.S.
Dept. of Computer Science & Engineering
University of Michigan

Chen Zhenbang, Ph.D.
School of Medicine
Meharry Medical College