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    Wyświetlanie 1-3 z 3
    Tytuł:
    Reliability of Pulse Measurements in Videoplethysmography
    Autorzy:
    Rumiński, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/221360.pdf
    Data publikacji:
    2016
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    videoplethysmography
    vital signs measurements
    video processing
    image processing
    smart glasses
    Opis:
    Reliable, remote pulse rate measurement is potentially very important for medical diagnostics and screening. In this paper the Videoplethysmography was analyzed especially to verify the possible use of signals obtained for the YUV color model in order to estimate the pulse rate, to examine what is the best pulse estimation method for short video sequences and finally, to analyze how potential PPG-signals can be distinguished from other (e.g. background) signals. The presented methods were verified using data collected from 60 volunteers.
    Źródło:
    Metrology and Measurement Systems; 2016, 23, 3; 359-371
    0860-8229
    Pojawia się w:
    Metrology and Measurement Systems
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Stress at the place of work and cognitive functions among women performing intellectual work during peri- and post-menopausal period
    Autorzy:
    Gujski, Mariusz
    Pinkas, Jarosław
    Juńczyk, Tomasz
    Pawełczak-Barszczowska, Adrianna
    Raczkiewicz, Dorota
    Owoc, Alfred
    Bojar, Iwona
    Powiązania:
    https://bibliotekanauki.pl/articles/2161846.pdf
    Data publikacji:
    2017-10-06
    Wydawca:
    Instytut Medycyny Pracy im. prof. dra Jerzego Nofera w Łodzi
    Tematy:
    Cognitive function
    menopause
    stress at work
    woman health
    CNS vital signs
    intellectual work
    Opis:
    Objectives The analysis of the relationship between stress at work and results of cognitive functions amongst women, at peri- and post-menopausal age, performing intellectual work. Material and Methods The study group included women, aged 45–66 years old, employed as intellectual workers. Research instruments were: the Montreal Cognitive Assessment; computer tests of the CNS Vital Signs; the Subjective Work Characteristics Questionnaire, and a questionnaire designed by the author. The results were statistically analyzed. Results Nearly a half of respondents experienced high stress at the place of work; 1/3 – on the average level, on a low level – every fifth. The largest number of respondents experienced stress caused by social contacts. Among a half of the women, stress was caused by the lack of awards at work, followed by the lack of support. Slightly fewer of them experienced stress caused by the feeling of psychological load related to the complexity of work or the feeling of uncertainty caused by the organization of work. Every third woman experienced stress due to the sense of responsibility or the lack of control. The smallest number experienced stress caused by physical arduousness, the sense of threat and unpleasant working conditions. The examined women obtained the best results with respect to simple attention, the worst results – with respect to the reaction time. The results concerning the remaining 9 cognitive functions were ranked in the middle of the aforementioned results. The intensity of stress at work and factors which caused this stress, negatively correlated with simple attention of women in the early peri-menopausal period, while positively correlating with the psychomotor and processing speed of women in the late peri-menopausal period. Among the post-menopausal women, negative correlations were observed between the majority of cognitive functions and the intensity of stress at work, and the majority of factors which caused this stress. Conclusions Cognitive functions of the examined women remained within the range of average evaluations, and were correlated with stress-inducing factors at the place of work. Int J Occup Med Environ Health 2017;30(6):943–961
    Źródło:
    International Journal of Occupational Medicine and Environmental Health; 2017, 30, 6; 943-961
    1232-1087
    1896-494X
    Pojawia się w:
    International Journal of Occupational Medicine and Environmental Health
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Edge artificial intelligence-based facial pain recognition during myocardial infarction
    Autorzy:
    Mohan, H. M.
    Shivaraj Kumara, H. C.
    Mallikarjun, S. H.
    Prasad, A. Y.
    Powiązania:
    https://bibliotekanauki.pl/articles/27314262.pdf
    Data publikacji:
    2022
    Wydawca:
    Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
    Tematy:
    vital signs
    myocardial infarction
    facial pain expression
    computer vision
    medical assistance
    convolution neural network
    Opis:
    Medical history highlights that myocardial infarction is one of the leading factors of death in human beings. Angina pectoris is a prominent vital sign of myocardial infarction. Medical reports suggest that experiencing chest pain during heart attacks causes changes in facial muscles, resulting in variations in patterns of facial expression. This work intends to develop an automatic facial expression detection to identify the severity of chest pain as a vital sign of MI, using an algorithmic approach that is implemented with a state-of-the-art convolutional neural network (CNN). The advanced object detection lightweight CNN models are as follows: Single Shot Detector Mobile Net V2, and Single Shot Detector Inception V2, which were utilized for designing the vital signs MI model from the 500 Red Blue Green Color images private dataset. The authors developed cardiac emergency health monitoring care using an Edge Artificial Intelligence (“Edge AI”) using NVIDIA’s Jetson Nano embedded GPU platform. The proposed model is mainly focused on the factors of low cost and less power consumption for onboard real-time detection of vital signs of myocardial infarction. The evaluated metrics achieve a mean Average Precision of 85.18%, Average Recall of 88.32%, and 6.85 frames per second for the generated detections.
    Źródło:
    Journal of Automation Mobile Robotics and Intelligent Systems; 2022, 16, 3; 40--55
    1897-8649
    2080-2145
    Pojawia się w:
    Journal of Automation Mobile Robotics and Intelligent Systems
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-3 z 3

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