John A. Berkebile
Orcid: 0000-0002-3358-5004
According to our database1,
John A. Berkebile
authored at least 11 papers
between 2022 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
2022
2023
2024
0
1
2
3
4
5
6
2
2
1
3
3
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Towards Wearable Acute Stress Detection and Mitigation via Real-Time Photoplethysmogram Feature Detection.
Proceedings of the 2024 IEEE SENSORS, Kobe, Japan, October 20-23, 2024, 2024
2023
Enabling Continuous Breathing-Phase Contextualization via Wearable-Based Impedance Pneumography and Lung Sounds: A Feasibility Study.
IEEE J. Biomed. Health Informatics, December, 2023
Mid-Activity and At-Home Wearable Bioimpedance Elucidates an Interpretable Digital Biomarker of Muscle Fatigue.
IEEE Trans. Biomed. Eng., December, 2023
Towards Wearable-Based Lung Sound Intensity Assessment Leveraging Impedance Pneumography.
Proceedings of the 2023 IEEE SENSORS, Vienna, Austria, October 29 - Nov. 1, 2023, 2023
Improving Tidal Volume Estimation via Fusion of Impedance Pneumography and Accelerometry.
Proceedings of the 2023 IEEE SENSORS, Vienna, Austria, October 29 - Nov. 1, 2023, 2023
Evaluating Orthostatic Responses with Wearable Chest-Based Photoplethysmography in Patients with Parkinson's Disease.
Proceedings of the 2023 IEEE SENSORS, Vienna, Austria, October 29 - Nov. 1, 2023, 2023
2022
Towards Estimation of Tidal Volume and Respiratory Timings via Wearable-Patch-Based Impedance Pneumography in Ambulatory Settings.
IEEE Trans. Biomed. Eng., 2022
A Wearable Multimodal Sensing System for Tracking Changes in Pulmonary Fluid Status, Lung Sounds, and Respiratory Markers.
Sensors, 2022
Initial Validation of Multi-Frequency Patch-Based Impedance Pneumography in Hospital Settings.
Proceedings of the 2022 IEEE Sensors, Dallas, TX, USA, October 30 - Nov. 2, 2022, 2022
Wearable Mid-Activity Measurement of Lower Limb Electrical Bioimpedance Estimates Vertical Ground Reaction Force Features.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
Multi-Modal Deep Learning Models for Alzheimer's Disease Prediction Using MRI and EHR.
Proceedings of the 22nd IEEE International Conference on Bioinformatics and Bioengineering, 2022