TY - THES AU - Borbély, Bence József TI - Kinematic measurement and analysis of human arm movements PB - Pázmány Péter Katolikus Egyetem (PPKE) PY - 2017 SP - 111 DO - 10.15774/PPKE.ITK.2017.002 UR - https://m2.mtmt.hu/api/publication/3241344 ID - 3241344 LA - English DB - MTMT ER - TY - JOUR AU - Borbély, Bence József AU - Szolgay, Péter TI - Real-time inverse kinematics for the upper limb: A model-based algorithm using segment orientations JF - BIOMEDICAL ENGINEERING ONLINE J2 - BIOMED ENG ONLINE VL - 16 PY - 2017 IS - 1 SN - 1475-925X DO - 10.1186/s12938-016-0291-x UR - https://m2.mtmt.hu/api/publication/3186200 ID - 3186200 N1 - Funding Agency and Grant Number: Central Funding Program of Pazmany Peter Catholic University [KAP15-055-1.1-ITK] Funding text: This work was financially supported by the Central Funding Program of Pazmany Peter Catholic University under project number KAP15-055-1.1-ITK. AB - Background: Model based analysis of human upper limb movements has key importance in understanding the motor control processes of our nervous system. Various simulation software packages have been developed over the years to perform model based analysis. These packages provide computationally intensive-and therefore off-line-solutions to calculate the anatomical joint angles from motion captured raw measurement data (also referred as inverse kinematics). In addition, recent developments in inertial motion sensing technology show that it may replace large, immobile and expensive optical systems with small, mobile and cheaper solutions in cases when a laboratory-free measurement setup is needed. The objective of the presented work is to extend the workflow of measurement and analysis of human arm movements with an algorithm that allows accurate and real-time estimation of anatomical joint angles for a widely used OpenSim upper limb kinematic model when inertial sensors are used for movement recording. Methods: The internal structure of the selected upper limb model is analyzed and used as the underlying platform for the development of the proposed algorithm. Based on this structure, a prototype marker set is constructed that facilitates the reconstruction of model-based joint angles using orientation data directly available from inertial measurement systems. The mathematical formulation of the reconstruction algorithm is presented along with the validation of the algorithm on various platforms, including embedded environments. Results: Execution performance tables of the proposed algorithm show significant improvement on all tested platforms. Compared to OpenSim's Inverse Kinematics tool 50-15,000x speedup is achieved while maintaining numerical accuracy. Conclusions: The proposed algorithm is capable of real-time reconstruction of standardized anatomical joint angles even in embedded environments, establishing a new way for complex applications to take advantage of accurate and fast model-based inverse kinematics calculations. © 2017 The Author(s). LA - English DB - MTMT ER - TY - JOUR AU - Borbély, Bence József TI - Measuring wrist movements with inertial sensors JF - PHD PROCEEDINGS ANNUAL ISSUES OF THE DOCTORAL SCHOOL FACULTY OF INFORMATION TECHNOLOGY AND BIONICS J2 - PHD PROC PPKE IT VL - 10 PY - 2015 SP - 111 EP - 114 SN - 2064-7271 UR - https://m2.mtmt.hu/api/publication/3192710 ID - 3192710 LA - English DB - MTMT ER - TY - CHAP AU - Borbély, Bence József AU - Tihanyi, Attila AU - Szolgay, Péter ED - IEEE, null TI - A measurement system for wrist movements in biomedical applications T2 - 2015 European Conference on Circuit Theory and Design PB - IEEE CY - Trondheim SN - 9781479998777 PY - 2015 SP - 1 EP - 4 PG - 4 DO - 10.1109/ECCTD.2015.7300047 UR - https://m2.mtmt.hu/api/publication/2978640 ID - 2978640 LA - English DB - MTMT ER - TY - CHAP AU - Borbély, Bence József AU - Kincses, Zoltán AU - Vörösházi, Zsolt AU - Nagy, Zoltán AU - Szolgay, Péter ED - Niemier, M ED - Porod, W TI - A modular test platform for real-time measurement and analysis of myoelectric signals for improved prosthesis control T2 - 2014 14th International Workshop on Cellular Nanoscale Networks and their Applications - CNNA 2014 PB - IEEE CY - New York, New York CY - Piscataway (NJ) SN - 9781479964680 T3 - 14th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA), ISSN 2165-0179 PY - 2014 SP - 1 EP - 2 PG - 2 DO - 10.1109/CNNA.2014.6888643 UR - https://m2.mtmt.hu/api/publication/2748264 ID - 2748264 LA - English DB - MTMT ER - TY - JOUR AU - Borbély, Bence József AU - Straube, A AU - Eggert, T TI - Motor synergies during manual tracking differ between familiar and unfamiliar trajectories JF - EXPERIMENTAL BRAIN RESEARCH J2 - EXP BRAIN RES VL - 232 PY - 2014 IS - 3 SP - 889 EP - 901 PG - 13 SN - 0014-4819 DO - 10.1007/s00221-013-3801-0 UR - https://m2.mtmt.hu/api/publication/2743792 ID - 2743792 AB - Synergistic control of the effector space allows high precision in task-relevant degrees of freedom, while noise is limited to task-irrelevant degrees of freedom. The present study investigates whether this typical structure of the variance-covariance matrix of the joint angles during manual tracking differs between familiar and unfamiliar trajectories. Subjects tracked a target moving in 2D on a graphics tablet with a hand-held pen, while their arm movements were not restricted. Subjects familiarized themselves with one target trajectory during an initial training block with 40 periodic trials. In the following test block, this familiar trajectory and several unfamiliar trajectories were presented in a mixed-block design to study prediction effects at the level of endpoint and joint trajectories. The differences in the synergistic control of arm movements were analyzed using the "uncontrolled manifold method." The results showed smaller variances and weaker motor synergies during tracking of familiar trajectories than during tracking of unfamiliar trajectories. The decrease in the synergy index was due to a stronger decrease in the variance irrelevant than of the variance relevant for pen position. In the context of motor control theory, these results suggest that tracking movements on familiar and unfamiliar target trajectories do not only differ in the available knowledge about target location but also apply different strategies to control the effector space. © 2013 Springer-Verlag Berlin Heidelberg. LA - English DB - MTMT ER - TY - JOUR AU - Borbély, Bence József TI - A test platform for real-time measurement and analysis of myoelectric signals JF - PHD PROCEEDINGS ANNUAL ISSUES OF THE DOCTORAL SCHOOL FACULTY OF INFORMATION TECHNOLOGY AND BIONICS J2 - PHD PROC PPKE IT VL - 2014 PY - 2014 IS - - SP - 83 EP - 86 PG - 4 SN - 2064-7271 UR - https://m2.mtmt.hu/api/publication/2734201 ID - 2734201 LA - English DB - MTMT ER - TY - JOUR AU - Borbély, Bence József TI - Myoelectric signal analysis using an embedded SoC JF - PÁZMÁNY PÉTER CATHOLIC UNIVERSITY PHD PROCEEDINGS J2 - PÁZMÁNY PÉTER CATHOLIC UNIVERSITY PHD PROCEEDINGS PY - 2013 SP - 17 EP - 20 PG - 4 SN - 1788-9197 UR - https://m2.mtmt.hu/api/publication/2557832 ID - 2557832 LA - English DB - MTMT ER - TY - CHAP AU - Borbély, Bence József AU - Szolgay, Péter ED - IEEE, Staff TI - Estimating the instantaneous wrist flexion angle from multi-channel surface EMG of forearm muscles T2 - 2013 IEEE Biomedical Circuits and Systems Conference, BioCAS 2013 PB - IEEE CY - Piscataway (NJ) SN - 9781479914715 PY - 2013 SP - 77 EP - 80 PG - 4 DO - 10.1109/BioCAS.2013.6679643 UR - https://m2.mtmt.hu/api/publication/2537296 ID - 2537296 LA - English DB - MTMT ER - TY - CHAP AU - Borbély, Bence József AU - Kincses, Zoltán AU - Vörösházi, Zsolt AU - Nagy, Zoltán AU - Szolgay, Péter TI - Analysis of myoelectric signals using a Field Programmable SoC T2 - 2013 European Conference on Circuit Theory and Design, ECCTD 2013 PB - IEEE CY - Piscataway (NJ) SN - 9783000437854 T3 - 2013 European Conference on Circuit Theory and Design, ECCTD 2013 PY - 2013 SP - 1 EP - 4 PG - 4 DO - 10.1109/ECCTD.2013.6662255 UR - https://m2.mtmt.hu/api/publication/2362358 ID - 2362358 LA - English DB - MTMT ER -