Overview
Profile summary
Dr. Om Singh, a Lecturer in Digital Health at the Centre for Health Technology, University of Plymouth, brings six years of teaching expertise from both national and international academic institutes. His dynamic career journey began as a postdoctoral Research Associate in medical device engineering at the Bradley Group, University of Edinburgh, from late 2019 to 2020. In 2021, he transitioned to a researcher role at the Life Science Interface Research group, Tyndall National Institute, Ireland, contributing until 2023. Dr. Singh's impactful research includes filing one intellectual property (IP), securing two copyrights, and receiving recognition with two gold awards and one merit award for his exceptional contributions to the field.
Teaching interests
Digital Signal Processing
Modeling of Physiological Systems
Bio-signal Processing
Signals and Systems
Signal Processing in Wearable Devices
Sensor and System Integration
Physiology Control System
Modeling of Physiological Systems
Bio-signal Processing
Signals and Systems
Signal Processing in Wearable Devices
Sensor and System Integration
Physiology Control System
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
-
SDG 3 Good Health and Well-being -
SDG 4 Quality Education -
SDG 9 Industry, Innovation, and Infrastructure
Fingerprint
Dive into the research topics where Om Prakash Singh is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Research output
-
Quantitative Comparison of the Performance of Injection-Molded Polymeric Microneedle Dry Electrodes and Traditional Gel Electrodes for ECG Signal Acquisition
Singh, O. P., Bocchino, A., CHERIAN, D., HU, Y., HASLINGER, M. J., FECHTIG, D., PRINZ, I., BRANDSTATTER, S., GALVIN, P. & Mahony, C. O., 30 Jan 2026, In: IEEE Access. 14, p. 18566-18580 15 p., 08388.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Downloads (Pure) -
A Multifunctional Platform for the Production and Customization of Polymer-based Microneedle Devices
Singh, O. P., Marquez-Grana, C., Bocchino, A., Melnik , E., Kurzhals , S., Mutinati, G. C., Coulman, S., Martin, C., Ng, K. W., Vergilio, M. M., Birchall, J., Donovan, P., Galvin, P. & O’Mahony, C., 1 Jul 2025, In: Sensors and Actuators A: Physical. 388, SNA116491.Research output: Contribution to journal › Article › peer-review
Open AccessFile7 Downloads (Pure) -
Microneedle electrodes: materials, fabrication methods, and electrophysiological signal monitoring‑narrative review
Singh, O. P., O'Mahony, C., El-Badawy, I. M. & Sornambikai, S., 25 Feb 2025, In: Biomedical Microdevices. 27, 9, p. 1 33 p., 9.Research output: Contribution to journal › Review article › peer-review
Open AccessFile2 Downloads (Pure) -
Flexible, Conductive Fabric-Backed, Microneedle Electrodes for Electrophysiological Monitoring
Singh, O. P., Bocchino, A., Guillerm, T., Hu, Y., Stam, F. & O'Mahony, C., 5 Feb 2024, In: Advanced Materials Technologies. 9, 3, 2301606.Research output: Contribution to journal › Article › peer-review
Open Access -
An Effective Machine Learning Approach for Classifying Artefact-Free and Distorted Capnogram Segments Using Simple Time-Domain Features
El-Badawy, I. M., Omar, Z. & Singh, O. P., 2022, In: IEEE Access. 10, p. 8767-8778 12 p.Research output: Contribution to journal › Article › peer-review
Open Access