Professional Education


  • BS, Yeditepe University, Electrical and Electronics Engineering (2011)
  • MS, Sabanci University, Mechatronics (2013)
  • Doctor of Philosophy, Higher Schl Univ & Adv Stu Sant' Anna (2017)

Patents


  • Mine Sarac Stroppa, Massimiliano Solazzi, Massimiliano Gabardi, Eduardo Sotgiu, Massimo Bergamasco, and Antonio Frisoli. "Italy Patent WO2017145136-A1 Exoskeleton device for the hand", Scuola Superiore Sant'Anna

All Publications


  • Design and kinematic optimization of a novel underactuated robotic hand exoskeleton MECCANICA Sarac, M., Solazzi, M., Sotgiu, E., Bergamasco, M., Frisoli, A. 2017; 52 (3): 749–61
  • Proxy-Based Haptic Rendering for Underactuated Haptic Devices Lobo, D., Sarac, M., Verschoor, M., Solazzi, M., Frisoli, A., Otaduy, M. A., Gerling, G., Otaduy, M. A., Ryu, J. H. IEEE. 2017: 48–53
  • Design of an Underactuated Hand Exoskeleton with Joint Estimation Sarac, M., Solazzi, M., Leonardis, D., Sotgiu, E., Bergamasco, M., Frisoli, A., Boschetti, G., Gasparetto, A. SPRINGER INTERNATIONAL PUBLISHING AG. 2017: 97–105
  • A Novel Approach for Upper Limb Robotic Rehabilitation for Stroke Patients Barsotti, M., Sotgiu, E., Leonardis, D., Sarac, M., Sgherri, G., Lamola, G., Chiara, F., Procopio, C., Chisari, C., Frisoli, A., Bello, F., Kajimoto, H., Visell, Y. SPRINGER INT PUBLISHING AG. 2016: 459–69
  • Design and Comparative Evaluation of a BCI-based Upper Extremity Robotic Rehabilitation Protocol Koyas, E., Sarac, M., Cetin, M., Patoglu, V., Yu, H. Y., Braun, D., Campolo, D. IEEE. 2015: 979–84
  • ASSISTON-MOBILE: a series elastic holonomic mobile platform for upper extremity rehabilitation ROBOTICA Sarac, M., Ergin, M., Erdogan, A., Patoglu, V. 2014; 32 (8): 1433–59
  • ASSISTON-MOBILE: A Series Elastic Holonomic Mobile Platform for Upper Extremity Rehabilitation Sarac, M., Ergin, M., Patoglu, V., Colgate, J. E. IEEE. 2013: 283–88
  • Brain Computer Interface based Robotic Rehabilitation with Online Modification of Task Speed Sarac, M., Koyas, E., Erdogan, A., Cetin, M., Patoglu, V., IEEE IEEE. 2013
  • Brain Computer Interface based robotic rehabilitation with online modification of task speed. IEEE ... International Conference on Rehabilitation Robotics : [proceedings] Sarac, M., Koyas, E., Erdogan, A., Cetin, M., Patoglu, V. 2013; 2013: 6650423

    Abstract

    We present a systematic approach that enables online modification/adaptation of robot assisted rehabilitation exercises by continuously monitoring intention levels of patients utilizing an electroencephalogram (EEG) based Brain-Computer Interface (BCI). In particular, we use Linear Discriminant Analysis (LDA) to classify event-related synchronization (ERS) and desynchronization (ERD) patterns associated with motor imagery; however, instead of providing a binary classification output, we utilize posterior probabilities extracted from LDA classifier as the continuous-valued outputs to control a rehabilitation robot. Passive velocity field control (PVFC) is used as the underlying robot controller to map instantaneous levels of motor imagery during the movement to the speed of contour following tasks. In other words, PVFC changes the speed of contour following tasks with respect to intention levels of motor imagery. PVFC also allows decoupling of the task and the speed of the task from each other, and ensures coupled stability of the overall robot patient system. The proposed framework is implemented on AssistOn-Mobile--a series elastic actuator based on a holonomic mobile platform, and feasibility studies with healthy volunteers have been conducted test effectiveness of the proposed approach. Giving patients online control over the speed of the task, the proposed approach ensures active involvement of patients throughout exercise routines and has the potential to increase the efficacy of robot assisted therapies.

    View details for DOI 10.1109/ICORR.2013.6650423

    View details for PubMedID 24187241