Background & Objective: The presented design attempt of building an advanced prosthetic lower limb has a vast requirement in these days to connect paralytic patients and elderly people with the external environment for a better lifestyle. The Recordings of Electromyography (EMG) patterns and other data analysis of the muscle signals has lightened the path of technology to a wide range of studies and experiments in the field of prosthesis of certain moveable body parts using the acquired EMG signal of muscles of lower limb. An effort has been made to acquire the EMG signal and study the signals with the incorporation of sufficient technology to build an artificial lower limb with the help of Flex-sensor and ‘Arduino Uno’ programming. The main aspect about the hardware circuitry of this practical work is its ease of use and applicability. The Bio-electrodes are attached on the specified location to acquire the muscle signals and also Laboratory Virtual Instrument Engineering Workbench (LabVIEW) to acquire the signals. In addition, the movements of certain joints of the lower limb can be replicated controlling the movement of a servo-motor for the implementation of the design of the artificial lower limb. Conclusion: The different output parameter changes can be measured according to the relaxation and the contraction of the Flex-sensor attached to the knee, and the ankle joints. The Servo-motors can further be utilized in the construction of the artificial lower leg to be moved externally without any voluntary motion of the subject. The measurement of dispersion has been introduced in the mathematical analysis.
The ECG features analysis in a patient born in 1946 led to repeated statement of misdiagnosis, particularly of myocardial infarction. About 2,500 patients’s ECGshave been analyzed for the three-year period of the patient’s observation. A Fourier analysis of the spectra of the ECGs of the patient 2506 allowed to assume that there exists an additional leading center in his myocardium, with a variable start phase of the myocardium relative to the phase of the fundamental frequency of contractions of the myocardium. Experimental confirmation of this hypothesis is in particular; found in the patient jump-like transition from synchronous phase daily changes in the function dynamics of the P wave width and the PQ segment to the antiphase ones, which reflects the change in the conditions for triggering the process of myocardial contraction. As a result, the coupling of the two leading frequencies of the myocardium, with a variable phase shift of the triggering, can be expressed both in the extra systoles appearance as well as in unusual cardio cycles not coinciding in the form and phase of cardio cycles of a single ECG. Cluster analysis of the entire set of collected patient’s ECGs in the similarity of their forms revealed 18 separate clusters of similarity. While cluster analysis of the ECG samples in other 4857 patients in most cases led to the identification of only one cluster characteristic for a certain patient’s ECG form. Mathematical modeling of the proposed hypothesis about the presence of more than one leading center of myocardial triggering which resulted in getting model patterns of split ECGs, qualitatively corresponding to the split forms of ECGs observed in the studied patient, confirmed its validity.
The paper presents a possibility of estimating a human cardiac pacemaker using combined application of nonlinear integral transformation and fuzzy logic, which allows carrying out the analysis in the real-time mode. The system of fuzzy logical conclusion is proposed, membership functions and rules of fuzzy products are defined. It was shown that the ratio of the value of a truth degree of the winning rule condition to the value of a truth degree of any other rule condition is at least 3.
The paper presents the automated system intended to prevent industrial-caused diseases of workers, the basis of which is represented by algorithms of preventing several negative functional conditions (stress, monotony). The emergence of such state shall be determined based on an analysis of bioelectric signals, in particular, skin-galvanic reactions. Proceeding from the dynamics of the functional state, the automated system offers to perform an optimized set of measures to restore the health of the worker. Implementation of an automated system is presented in Visual Programming system LabVIEW.