Temat: spirography - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: ASSESSMENT OF THE RESERVE CAPACITY OF THE EXTERNAL RESPIRATION APPARATUS OF STUDENTS OF DIFFERENT SPORT SPECIALIZATIONS
Autorzy:: Kopko, Iryna
Fil, Vitaliy
Powiązania:: https://bibliotekanauki.pl/articles/449186.pdf
Data publikacji:: 2014
Wydawca:: Politechnika Opolska. Wydział Wychowania Fizycznego i Fizjoterapii
Tematy:: external respiration
spirography
the power reserve
the mobilization reserve
the economization reserve
football
field athletics
Opis:: This article is devoted to the functional analysis of the external respiration apparatus of students of different sports specializations. It examines the level of functional reserves of external respiration apparatus according to indices of power, mobilization and economical efficiency of male football players and athletes – above average ─ and of female football players and athletes – average. The assessment of the reserve capacity of external respiration apparatus may be used in the construction of the training process and will assist in the professional selection and sports orientation of students of the faculty of physical education.
Źródło:: Journal of Physical Education & Health - Social Perspective; 2014, 3, 5; 41-46
2084-7971
Pojawia się w:: Journal of Physical Education & Health - Social Perspective
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: A hybrid two-stage SqueezeNet and support vector machine system for Parkinson’s disease detection based on handwritten spiral patterns
Autorzy:: Bernardo, Lucas Salvador
Damaševičius, Robertas
de Albuquerque, Victor Hugo C.
Maskeliūnas, Rytis
Powiązania:: https://bibliotekanauki.pl/articles/2055162.pdf
Data publikacji:: 2021
Wydawca:: Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:: Parkinson’s disease
spirography
convolutional neural network
deep learning
choroba Parkinsona
spirografia
sieć neuronowa konwolucyjna
uczenie głębokie
Opis:: Parkinson’s disease (PD) is the second most common neurological disorder in the world. Nowadays, it is estimated that it affects from 2% to 3% of the global population over 65 years old. In clinical environments, a spiral drawing task is performed to help to obtain the disease’s diagnosis. The spiral trajectory differs between people with PD and healthy ones. This paper aims to analyze differences between handmade drawings of PD patients and healthy subjects by applying the SqueezeNet convolutional neural network (CNN) model as a feature extractor, and a support vector machine (SVM) as a classifier. The dataset used for training and testing consists of 514 handwritten draws of Archimedes’ spiral images derived from heterogeneous sources (digital and paper-based), from which 296 correspond to PD patients and 218 to healthy subjects. To extract features using the proposed CNN, a model is trained and 20% of its data is used for testing. Feature extraction results in 512 features, which are used for SVM training and testing, while the performance is compared with that of other machine learning classifiers such as a Gaussian naive Bayes (GNB) classifier (82.61%) and a random forest (RF) (87.38%). The proposed method displays an accuracy of 91.26%, which represents an improvement when compared to pure CNN-based models such as SqueezeNet (85.29%), VGG11 (87.25%), and ResNet (89.22%).
Źródło:: International Journal of Applied Mathematics and Computer Science; 2021, 31, 4; 549--561
1641-876X
2083-8492
Pojawia się w:: International Journal of Applied Mathematics and Computer Science
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: О динамике и особенностях показателей спирографии при комплексном лечении рецидивирующего бронхита у детей
The dynamics and characteristics of external breath in complex treatment of recurrent bronchitis in children
Autorzy:: Nechipurenko, O.N.
Powiązania:: https://bibliotekanauki.pl/articles/1032510.pdf
Data publikacji:: 2014
Wydawca:: Uniwersytet Kazimierza Wielkiego w Bydgoszczy
Tematy:: рецидивирующий бронхит у детей
новый способ
лечения
спирография
recurrent bronchitis in children
a new method of treatment
spirography
Opis:: Трудности лечения рецидивирующего бронхита у детей требуют разработки новых методов терапии данной патологи с учетом современных достижений физиотерапии. Предложен новый комплексный метод лечения рецидивирующего бронхита у детей. Динамика показателей спирографического обследования подтверждает эффективность предложенной терапии.
There is a need to develop new therapies for recurrent bronchitis in children with the light of modern physiotherapy. In the article is proposed a new comprehensive method of treatment of recurrent bronchitis in children. Dynamics of spirographic survey indicators confirms the effectiveness of the proposed therapy.
Źródło:: Journal of Health Sciences; 2014, 4, 1; 117-124
1429-9623
Pojawia się w:: Journal of Health Sciences
Dostawca treści:: Biblioteka Nauki

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