Alper Y. Bozkurt, Ph.D.
Affiliations: | 2010 | Cornell University, Ithaca, NY, United States |
Area:
Electronics and Electrical Engineering, Biomedical EngineeringGoogle:
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Publications
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Reynolds J, Wilkins M, Martin D, et al. (2024) Evaluating Bacterial Nanocellulose Interfaces for Recording Surface Biopotentials from Plants. Sensors (Basel, Switzerland). 24 |
Reynolds J, Williams E, Martin D, et al. (2022) A Multimodal Sensing Platform for Interdisciplinary Research in Agrarian Environments. Sensors (Basel, Switzerland). 22 |
Ahmmed P, Reynolds J, Hamada S, et al. (2021) Novel 3D-printed Electrodes for Implantable Biopotential Monitoring. Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual International Conference. 2021: 7120-7123 |
Valero-Sarmiento JM, Ahmmed P, Bozkurt A. (2020) Evaluation of a Subcutaneously Injectable Implant with a Low-Power Photoplethysmography ASIC for Animal Monitoring. Sensors (Basel, Switzerland). 20 |
Yokus MA, Songkakul T, Pozdin VA, et al. (2020) Wearable multiplexed biosensor system toward continuous monitoring of metabolites. Biosensors & Bioelectronics. 153: 112038 |
McKnight M, Tabor J, Agcayazi T, et al. (2020) Fully Textile Insole Seam-Line for Multimodal Sensor Mapping Ieee Sensors Journal. 20: 10145-10153 |
Cevik E, Bozkurt A, Dirican M, et al. (2020) High performance flexible supercapacitors including redox active molybdate incorporated Poly(vinylphosphonic acid) hydrogels International Journal of Hydrogen Energy. 45: 2186-2194 |
Agcayazi T, Tabor J, McKnight M, et al. (2020) Fully‐Textile Seam‐Line Sensors for Facile Textile Integration and Tunable Multi‐Modal Sensing of Pressure, Humidity, and Wetness Advanced Materials and Technologies. 5: 2000155 |
Reynolds J, Ahmmed P, Bozkurt A. (2019) An Injectable System for Subcutaneous Photoplethysmography, Accelerometry, and Thermometry in Animals. Ieee Transactions On Biomedical Circuits and Systems |
Starliper N, Mohammadzadeh F, Songkakul T, et al. (2019) Activity-Aware Wearable System for Power-Efficient Prediction of Physiological Responses. Sensors (Basel, Switzerland). 19 |