Jonathan Zia

Orcid: 0000-0003-1567-4895

According to our database1, Jonathan Zia authored at least 15 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Synthetic seismocardiogram generation using a transformer-based neural network.
J. Am. Medical Informatics Assoc., June, 2023

2022
Reducing the Impact of External Vibrations on Fiducial Point Detection in Seismocardiogram Signals.
IEEE Trans. Biomed. Eng., 2022

Classification of Blood Volume Decompensation State via Machine Learning Analysis of Multi-Modal Wearable-Compatible Physiological Signals.
Sensors, 2022

2021
Unifying the Estimation of Blood Volume Decompensation Status in a Porcine Model of Relative and Absolute Hypovolemia Via Wearable Sensing.
IEEE J. Biomed. Health Informatics, 2021

Harnessing the Manifold Structure of Cardiomechanical Signals for Physiological Monitoring During Hemorrhage.
IEEE Trans. Biomed. Eng., 2021

2020
Wearable- and Catheter-Based Cardiovascular Signals during Progressive Exsanguination in a Porcine Model of Hemorrhage.
Dataset, June, 2020

A Unified Framework for Quality Indexing and Classification of Seismocardiogram Signals.
IEEE J. Biomed. Health Informatics, 2020

Modeling Consistent Dynamics of Cardiogenic Vibrations in Low-Dimensional Subspace.
IEEE J. Biomed. Health Informatics, 2020

Knee Acoustic Emissions as a Digital Biomarker of Disease Status in Juvenile Idiopathic Arthritis.
Frontiers Digit. Health, 2020

Localizing Placement of Cardiomechanical Sensors during Dynamic Periods via Template Matching.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Mitigating Hypovolemia-Induced Miscalibration of Photoplethysmogram-Derived Blood Pressure.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019
Automated Identification of Persistent Time-Domain Features in Seismocardiogram Signals.
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019

2016
Utilizing Neural Networks to Predict Freezing of Gait in Parkinson's Patients.
Proceedings of the 18th International ACM SIGACCESS Conference on Computers and Accessibility, 2016

2015
A Shoe Mounted System for Parkinsonian Gait Detection and Real-Time Feedback.
Proceedings of the HCI International 2015 - Posters' Extended Abstracts, 2015

Interactive Motor Learning with the Autonomous Training Assistant: A Case Study.
Proceedings of the Human-Computer Interaction: Interaction Technologies, 2015


  Loading...