Electromyography (EMG) is a diagnostic technique allowing for the detection of signals generated by changes in electrical potentials of striated muscles. The application of this technology is becoming an increasingly popular subject of scientific research. With the appearance of new devices retrieving EMG data, novel methods of its processing for various purposes are being developed. One such device is the Myo movement controller, produced by Thalmic Labs (now North). The device has been used for the analysis of muscle activation levels in patients with "tennis elbow" and "golfer’s elbow"—conditions of upper limbs which usually result from occupational injuries. The process of their rehabilitation is complex and requires a continuous monitoring of its progress. The data obtained by means of the Myo controller was used for pattern recognition of an injured hand with relation to the healthy one. The study involved examining ten subjects, including five controls. The results indicate that the muscle activation force is considerably lower in injured individuals. The arithmetic mean for the 6 analyzed motions in the injured group is 38.54% lower. The SmartEMG application ( https://www.smartemg.com ) enables the implementation of procedures performed during an examination as well as those involved in the management of the collected recordings. The study produced satisfactory results, which indicates the possibility of using the Myo controller in the treatment of elbow enthesopathy.

The aim of this study was to present an analysis of the feasibility of voice quality prediction on the RBH scale (Roughness, Breathiness, Hoarseness) for children with vocal nodules on the basis of both acoustic parameters and electroglottographic (EGG) examination. The first step to achieve this goal involved the creation of a dedicated database, VPADB (Voice Pathology Analysis Database), containing voice recordings from patients, the EGG signal, medical diagnosis and the classification of voice quality on the above-mentioned scale. The database also contains data concerning the patients’ age and sex. The next step involved performing statistical analyses to test the relationship between the values of objective parameters, such as Peak Slope and Normalized Amplitude Quotient, and the classification of voice quality. The study made use of voice recordings of 57 patients with vocal nodules and 37 healthy individuals. The RBH classification was carried out by two independent voice specialists. It was found that speech signal parameters can be used to predict expert evaluation with regard to Roughness and Hoarseness.

This paper describes the influence of the presence of an obstacle near the flue pipe’s mouth on the air jet, which directly affects the parameters of the sound generated by the flue pipe. Labial pipes of the most common types of mouth were tested. The method of interval calculus was used instead of invasive measuring instruments. The obtained results prove that the proximity of an obstacle affects the sound’s fundamental frequency, as the airflow speed coming out of the flue pipe’s mouth changes. The relationship between the airflow speed, the value of the Reynolds number, and the Strouhal number was also established. The thesis of the influence of the proximity of an obstacle on the fundamental frequency of the sound of a flue pipe was generalized, and formulas for calculating the untuning of the sound of the pipe were presented for various types of mouth.

Due to wood hygroscopicity, the properties of instruments with wooden elements are changing. The effect of this is an instability of the sound of the instrument. This paper presents a group of acoustic parameters describing changes in the sound of an acoustic guitar in an objective manner. During the research, we made some dedicated devices; among others an acoustic measuring chamber, a mechanism for repetitive string excitation, and a system enabling acoustic measurement with an equivalent noise level of 4.5 dBA. The instruments underwent a process of forced allocation of water molecules in wood (moisturizing). We developed parameters describing the sustain time, the character of sustain and tonal equalization of the sound of the instrument.

This paper presents an automatic indexing system, created on the basis of text analysis, which involves grouping words and reducing them to their dictionary form. The system, developed with the help of an inflection dictionary of the Polish language, is designed to store and retrieve scientific papers dedicated to agriculture. During the analysis, auxiliary words such as pronouns, conjunctions, etc. were omitted. The words which are not present in the inflection dictionary, were used to create a dictionary of new terms. The words stored in the dictionary of new terms were used for the extraction of agricultural terms, which then could be located in the AGROVOC thesaurus. For each of the analyzed papers, a set of concepts with assigned weights was created. For each of the stored scientific papers, an "artificial sentence" was generated. An "artificial sentence" was created on the basis of the frequency of occurrence of dictionary forms of a word appearing in the texts and the word's grammatical category. This "artificial sentence" as well as sets of terms were used to find relationships between the papers stored in the system. These dependencies are used in an algorithm of searching for articles matching a query. It was observed that the number of correct results depends on the number of words in the paper. If a work consisted of at least a thousand words, the probability of misdiagnosis of content was not higher than 5%. In the case of short texts, such as abstracts, the probability of misdiagnosis was much higher, approximately 23%. Results obtained in the presented system are more accurate than those obtained by standard search engines. This method can also be applied to other natural languages with extensive inflection systems. The presented solution is a continuation of the work carried out under a grant [N N310 038538].