This project will develop novel, body-worn, flexible sensors fabricated using low-cost
inkjet printing technology on thin film polymers, develop novel algorithms capable
of automatically detecting health events in different contexts, and develop a novel
data reliability metric by analyzing sensor and context data in real-time. The project
will produce practice components for test and validation in a clinical setting with
cardiac patients to determine their effectiveness for monitoring heart conditions.
If successful, the project will provide patients and clinicians with a tool to improve
health monitoring in natural environments. The research is expected to impact additive
manufacturing methods, flexible electronics, health monitoring, and smart and connected
communities initiatives. It will also provide training for undergraduate and graduate
students and expose the next generation of scholars and workers to these technologies
through a Summer Code Camp for high school students.
Next generation Cyber-Physical Systems (CPS) must utilize resilient and reliable cyber/physical
interfacing, be economically viable, and be capable of processing extremely large
data automatically and reliably. Achieving this requires overcoming current technological
barriers associated with seamless integration of computation and physical domains
and meaningful interpretation of multimodal and multigrain data of scalable CPS. Balancing
theory with experimentation, this project will: 1) produce foundational engineering
process for CPS interface with thin-film flexible electronic electrodes and low cost
sensors fabricated with inkjet printing; 2) develop new algorithms for autonomous
processing of sensor data to detect context-aware events of interest and data reliability
metric for closed-loop CPS using real-time machine learning implemented at edge; and
3) deploy CPS practice components in a real-life pilot study to explore detection
of cardiac episodes and explore various closed loop feedback approaches.
Project Team:
Project PI: Dr. B. I. Morshed, Associate Professor, Computer Science, Texas Tech University Co-PI: Dr. T. Fujiwara, Associate Professor, Department of Chemistry, University of Memphis Co-PI: Dr. F. Andrasik, Distinguished Professor and Chair, Department of Psychology, University
of Memphis Co-PI: Mr. R. Hewitt, Associate Professor, Engineering Technology, University of Memphis Co-PI: Dr. R. Kabra, Cardiologist, Associate Professor of Medicine, Kansas City Heart Rhythm Institute (KCHRI) Consultant: Dr. M. Rahman, Physician, Baptist Minor Medical Center and Henderson County Community
Hospital
Publications from this project:
B. I. Morshed and Mahfuzur Rahman, “Intermediate Passive Wireless Loop Coil and Methods of Use Thereof”, USPTO PCT Patent Application, Number: PCT/US2023/060019, filed on Jan. 03, 2023. (Older record: B. I. Morshed and Mahfuzur Rahman, “Intermediate Passive Wireless Loop Coil and Methods of Use Thereof”, USPTO Provisional Patent Application, Number: 63296065, Filed Jan. 03, 2022.)
B. I. Morshed and Mst Moriom R. Momota, “Fabrication of Supercapacitors with Inkjet Printed Manufacturing”, USPTO Provisional Patent Application, Number: 63439906, Filed Jan. 19, 2023.
Mst M. R. Momota, and Bashir I. Morshed, “ML Algorithms to Estimate Data Reliability Metric of ECG from Inter-Patient Data for Trustable AI-based Cardiac Monitors”, Smart Health Journal, Elsevier, vol. 26, 100350, Dec. 2022. https://doi.org/10.1016/j.smhl.2022.100350
B. I. Morshed, Mst Moriom R. Momota, and Mahfuzur Rahman, “Extended Range Wireless Power Transfer with Inkjet Printed Thin-film Flexible Loop Coils”, Invited Paper, (Special session: Wireless Power Transfer Techniques for Biomedical Applications), National Radio Science Meeting, Boulder, CO, Jan. 10-14, 2023.
Mahfuzur Rahman and B. I. Morshed, “Implementation of Intermediate Passive Loop Coil to extend the range of Qi Charging”, IEEE MTT-S International Microwave Biomedical Conference (IMBioC), Suzhou, China, May 16-18, 2022.
B. I. Morshed and Mahfuzur Rahman, “Extending Range of Wireless Power Transfer Using a Novel Intermediate Passive Loop with Coils”, Invited Paper, (Special session: Dosimetry and Exposure Assessment), National Radio Science Meeting, Boulder, CO, Jan. 4-8, 2022.
Nabonita Mitra and Bashir I. Morshed, “Analyzing Clinical 12-Lead ECG Images Using Deep Learning Algorithms for Objective Detection of Cardiac Diseases”, IEEE Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), New York, NY, 26-29 Oct. 2022.
I Hua Tsai and Bashir I. Morshed, “Detecting PVC Beats by Beat-by-beat Analysis of ECG Signals Using Machine Learning Classifiers for Real-time Predictive Cardiac Health Monitoring”, IEEE Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), New York, NY, 26-29 Oct. 2022.
I Hua Tsai and Bashir I. Morshed, “Beat-by-Beat Classification of ECG Signals Using Machine Learning Algorithms to Detect PVC Beats for Real-time Predictive Cardiac Health Monitoring”, Intl. Conf. on Bioinformatics and Biomedicine (BIBM), Las Vegas, NV, 6-8 Dec. 2022.
Mst M. R. Momota, and Bashir I. Morshed, “ML Algorithms to Estimate Data Reliability Metric of ECG from Inter-Patient Data for Trustable AI-based Cardiac Monitors”, IEEE/ACM Intl. Conf. on Connected Health: Applications, Systems, and Engineering Technologies (CHASE) Conf., Washington DC, USA, Nov. 17-19, 2022.
Madison Davis and Bashir I. Morshed, "Classification of COVID-19 Disease Severity using CT Scans via Deep Convolutional Neural Networks”, IEEE Intl. Conf. On Electro/Information Technology (EIT), Minnesota State University, MN, USA, May 15-19, 2022.
I Hua Tsai and Bashir I. Morshed, "Beat-by-beat Classification of ECG Signals with Machine Learning Algorithm for Cardiac Episodes”, IEEE Intl. Conf. On Electro/Information Technology (EIT), Minnesota State University, MN, USA, May 15-19, 2022.
Nabonita Mitra and Bashir I. Morshed, "Automatic Detection of Situational Contexts Using AI from Minimal Sensor Modality”, IEEE Intl. Conf. On Electro/Information Technology (EIT), Minnesota State University, MN, USA, May 15-19, 2022.
Mahfuzur Rahman and Bashir I. Morshed, “Extraction of Respiration Rate from Wrist ECG Signals'”, IEEE Ubiquitous Computing, Electronics, and Mobile Communication Conf. (UEMCON), (in press), Dec. 1-4, 2021. (Best presentation award in embedded system track)
B. I. Morshed, “Smart Health Integrated Framework and Topology (SHIFT) for Smart and Connected Community”, IEEE International Conf on Electro-Information Technology, Mount Pleasant, MI, May 13-15, 2021.
Md S. Zaman and B. I. Morshed, “Generalization of Data Reliability Metric (DReM) Mechanism for Pulsatile Bio-signals”, IEEE International Conf on Electro-Information Technology, Mount Pleasant, MI, May 13-15, 2021.
Mst M. R. Momota, A. Mohapatra, and B. I. Morshed, “Finite Element Simulation of Inkjet Printed Flexible Parallel Plate MIM Capacitors on Polyimide Film”, IEEE International Conf on Electro-Information Technology, Mount Pleasant, MI, May 13-15, 2021. (Best paper award)
Mahfuzur Rahman and B. I. Morshed, “Estimation of Respiration Rate using an Inertial Measurement Unit Placed on Thorax-Abdomen”, IEEE International Conf on Electro-Information Technology, Mount Pleasant, MI, May 13-15, 2021.