To overcome limitations in physiologic data acquisition for human-computer interaction systems, researchers developed stretchable, foldable electrode arrays that non-invasively monitor signals like EEG, EMG, and ECG, enabling seamless integration with the human body for real-world applications.
The bottleneck in developing novel physiology-guided human computer interaction systems such as BCIs is how the physiologic data is acquired. As such, our group began to collaborate with materials scientists so that we may pivot into also developing novel technologies that can acquire high-fidelity physiologic data from the human body. We go beyond conventional physiologic data acquisition systems which have limited ability to monitor people in their normal daily lives, in no small part because of the adage from physics: “in the process of measuring a system, you undoubtedly perturb it”. In a 2011 Science paper, our group has recently demonstrated foldable, stretchable electrode arrays that can non-invasively measure physiologic signals (including EEG, EMG, ECG) without the need for gel. The electrodes rely on layouts recently developed for silicon electronics that offer linear elastic responses to applied force, with the capacity to fold, twist and deform into various curved shapes. Stretchable electronics have the key advantage that they can wrap arbitrary, curvilinear surfaces and, at the same time, achieve mechanical properties that approach those of tissues of the human body (e.g. skin). These capabilities are especially significant for applications in skin-mounted devices to monitor physiology in mobile environments.
Kurniawan, Jonas F., Alexis B. Allegra, Timothy Pham, Andrew KL Nguyen, Nathan LJ Sit, Boris Tjhia, Andrew J. Shin, and Todd P. Coleman
Nano Select
2022
Kurniawan, J. F., Tjhia, B., Wu, V. M., Shin, A., Sit, N. L., Pham, T., ... & Coleman, T. P.
Advanced Materials Technologies
2021
Huang, S., Fisher, J. A. N., Ye, M., Kim, Y. S., Ma, R., Nabili, M., Krauthamer, Victor., Myers, M. R. , Coleman, T. P. , Welle, C. G.
IEEE Transactions on Biomedical Engineering
2018
Kim, Y. S., Lu, J., Shih, B., Gharibans, A., Zou, Z., Matsuno, K., Aguilera, R., Xiao, J., Meek, A., Tolley, M., & Coleman, T. P.
Advanced Materials
2017
Haj-Omar, A., Thompson, W. L., Kim, Y. S., Glick, P., Tolley, M., & Coleman, T. P.
Antennas and Propagation (APSURSI)
2016
Haj-Omar, A., W. Thompson, Y.S. Kim, and T. P. Coleman
IEEE Wireless and Microwave Technology Conference
2016
D. Kang, Y. S. Kim, G. Ornelas, M. Sinha, K. Naidu, and T. P. Coleman
Sensors
2015
J. A. Fan, W. Yeo, Y. Su, Y. Hattori, W. Lee, S. Jung, Y. Zhang, Z. Liu, H. Cheng, L. Falgout, M. Bajema, T. P. Coleman , D. Gregoire, R. J. Larsen, Y. Huang, and J. A. Rogers
Nature Communications
2014
D. H. Kim, N. Lu, R. Ma, Y.S. Kim, R.H. Kim, S. W, S. M. Won, H. Tao, A. Islam, K.J. Yu, T. Kim, R. Chowdhury, M. Ying, L. Xu, J. Wu, M. Li, H.J. Chung, F. G. Omenetto, Y. Huang, T. P. Coleman, J. A. Rogers
Science
2011
Stanford University. Stanford, California 94305