Study of dynamic forces in human upper limb in forward fall.

Knowledge of dynamic forces acting on the upper limb is useful, and sometimes even necessary, in its treatment and rehabilitation after injuries, during prostheses designing, as well as in optimization of the sports training process. In this work an attempt to determine the quantity of the inertia forces generated in forward fall has been undertaken. For this purpose a simplified mechanical model of the human body biokinematic chain has been prepared. Geometric data and mass of each element have been taken from anthropometric atlas for the Polish population. Kinematic data necessary to perform the analysis was calculated using fundamental laws of Mechanics. In this way accelerations of the selected points necessary for the determination of inertia forces acting on the individual links of the model were yielded. For validation of the obtained results a numerical model was constructed using SimMechanic module of the Matlab Simulink software. It made possible to compare the results obtained in both simulation methods. To make joints model more realistic a values of the viscous friction were assumed

Różne oblicza układów dynamicznych

Mrozowski, Jerzy : Katedra Automatyki, Biomechaniki i Mechatroniki - Wydział Mechaniczny - Politechnika ŁódzkaArtykuł zamieszczony jest w : Życie Uczelni : biuletyn informacyjny Politechniki Łódzkiej nr 151, marzec 2020Międzynarodowa konferencja Dynamical Systems – Theory and Applicationsodbyła się po raz 15. Zgromadziła ponad 200 uczestników, wśród których goście zagraniczni z 40 krajów stanowili 65 proc

Effects of impulse forces acting on the eye socket walls – strength analysis

The study presented in this paper is focused on the analysis of biomechanical effects of several impact forces exerted on the orbital skeleton. Three different cases of force application reflecting three sport-related situations have been investigated. Time histories of the impact force as well as area of its application have been considered. As a tool to carry out numerical simulation, ANSYS Workbench software platform has been used. The analysis showed that the most dangerous is the force applied to the lower part of orbital margin. In this case, the entire zygomatic bone may be damaged due to strong bending load

Analiza stabilności chodu człowieka.

Analysis of the gait stability of a man moving along an even surface with a constant velocity is presented. The stability criteria applied to biped robots, namely: the Zero Moment Point (ZMP) and the Ground projection of the Center Of Mass (GCOM) have been employed in the investigations. The analysis has been carried out on the basis of measurement data obtained from the human gait recorded wit h a digital camera.Artykuł przedstawia analizę stabilności chodu człowieka poruszającego się po równej poziomej powierzchni. W badaniach wykorzystano dwa kryteria stateczności: ZMP (Zero Moment Point) i GCOM (Ground projection of the Center Of Mass) stosowane w odniesieniu do robotów dwunożnych. Analizę przeprowadzono na podstawie zarejestrowanych za pomocą kamer cyfrowych danych dotyczących trajektorii wybranych punktów

Biomechanical criterion of dynamic stability based on ZMP formula and Flash-Hogan principle of minimum jerk

The main aim of the article is to define a criterion of dynamic stability based on the Flash- Hogan principle and the ZMP method. The gait researches were focused on analysis and observation of the human biomechanism with the optical system Optitrack. The smooth reference trajectory is defined forming a stability pattern. The optimal, due to the minimum jerk criterion, ZMP trajectory is illustrated in the results Section in order to demonstrate the dynamic stability pattern for the needs of rehabilitation in cases of neuromuscular damage or injuries affecting gait stability

Fingers movements control system based on artificial neural network model

Surface electromyographic (sEMG) signal is used in the various fields of applications where the need exists to measure the activity of body muscles, such as brain-computer interfaces, game industry, medical engineering, and other practical spheres. Even more, the use of sEMG signal in the field of active prosthesis industry has become traditional for many years. However, despite the fact that the question of using it in the field of fingers prostheses is still open, in general, the sEMG signal required multichannel measuring devices or massive, voluminous equipment for precise recognition of hands or fingers movement. That is decreasing the possible portability and convenience of prostheses and as a consequence is increasing their final price. In this paper we propose a method of organizing the controlling and measuring unit of the prosthetic device based on artificial neural network (ANN) model and one-channel microcontroller based sEMG measuring system. The proposed ANN model works with only 4 input time-domain features of sEMG signal and provides an accuracy of 95.52% for classification of 6 different types of finger movements that makes it a good solution for next implementation in the system of prosthetic fingers or wrist devices