Paul Hansma, PhD, is a physicist at the University of California, Santa Barbara and a researcher in the Neuroscience Research Institute. His inventions include Atomic Force Microscopes that function with samples in air or fluid, which have been commercialized by Digital Instruments (now Bruker) and Asylum Research (now part of Oxford Instruments), the Scanning Ion Conductance Microscope, and Bone Diagnostic Instruments including the Osteoprobe® commercialized by Active Life Scientific. It had been used on over 3,000 patients by 2015. The OsteoProbe® obtained European regulatory approval, is now CE Marked, has been used on over 3,000 patients. The FDA approved it in 2021 and it is now being used by local physicians. His current research focus is on devices to quantify and reduce chronic pain as a part of a brain retraining program that includes education and activities. He has over 350 publications, with over 50,000 citations and an H factor of 113.
The Hansma lab, in collaboration with Professors Linda Petzold, Michael Miller and Chancellor Yang and his students, are working to develop biofeedback devices to help people unlearn chronic pain. These are now being tested on subjects and, together with the techniques of Psychophysiologic symptom relief therapy (PSRT) and Pain reprocessing therapy (PRT), are helping people recover from chronic pain.
2020 International Conference on Data Mining Workshops (ICDMW), 2020, pp. 651-660
Sharf, Tal, Paul K. Hansma, Mukund A. Hari, and Kenneth S. Kosik. "Non-contact monitoring of extra-cellular field potentials with a multi-electrode array." Lab on a Chip 19, no. 8 (2019): 1448-1457
Liu, Honglei, Daniel Bridges, Connor Randall, Sara A. Solla, Bian Wu, Paul Hansma, Xifeng Yan, Kenneth S. Kosik, and Kristofer Bouchard. "In vitro validation of in silico identified inhibitory interactions." Journal of neuroscience methods 321 (2019): 39-48.
Tovar, Kenneth R., Daniel C. Bridges, Bian Wu, Connor Randall, Morgane Audouard, Jiwon Jang, Paul K. Hansma, and Kenneth S. Kosik. "Action potential propagation recorded from single axonal arbors using multielectrode arrays." Journal of Neurophysiology 120, no. 7 (2018): 306-320.
Zhao, Yun, Richard Jiang, Zhenni Xu, Elmer Guzman, Paul K. Hansma, and Linda Petzold. "Scalable Bayesian Functional Connectivity Inference for Multi-Electrode Array Recordings." arXiv preprint arXiv:2007.02198 (2020)