- MeSH
- inteligence MeSH
- kybernetika MeSH
- lidé MeSH
- modely neurologické MeSH
- mozek fyziologie MeSH
- nervová síť MeSH
- neuronové sítě MeSH
- pud MeSH
- robotika MeSH
- umělá inteligence * MeSH
- vědomí MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- přehledy MeSH
Complex injuries to the posterior trunk can still pose a significant challenge to the reconstructive surgeon. Due to the lack of skin laxity, dependent anatomical location and the importance of the deeper structures, a systematic approach tailored to the individual defect should be considered for these types of reconstructions. In our case report, we present a reconstructive solution of a chronic defect of the back caused by resection of an ulceration. What was previously considered to be a relapse of a malignant melanoma turned out to be a chronic osteomyelitis of the spinous processes of the thoracic vertebrae. The defect after the resection of the ulceration and infected spinous processes of the thoracic vertebrae with exposed dorsal lamina was covered with pedicled myocutaneous flap. Reconstruction yielded well-vascularized tissue that provided sufficient volume and tissue quality. Even in the light of modern perforator flaps, local or locoregional muscle and myocutaneous flaps remain the first choice for the treatment of deep back defects. Considering all the factors in the given case, plastic surgeons are able to tailor the reconstructive technique to every individual case to match the desired reconstruction goal.
- MeSH
- chirurgické laloky * chirurgie MeSH
- dermatochirurgické výkony metody MeSH
- hrudní obratle chirurgie patologie MeSH
- lidé MeSH
- maligní melanom kůže komplikace MeSH
- osteomyelitida * chirurgie MeSH
- pooperační péče metody MeSH
- senioři MeSH
- stafylokokové infekce komplikace MeSH
- vřed chirurgie komplikace patologie MeSH
- záda chirurgie patologie MeSH
- Check Tag
- lidé MeSH
- mužské pohlaví MeSH
- senioři MeSH
- Publikační typ
- kazuistiky MeSH
354 stran : ilustrace (některé barevné) ; 25 cm
Publikace obsahuje eseje, které se zaměřují na vědomí z různých perspektiv, například filozofie, náboženství, biologie či robotiky. určeno odborné veřejnosti.
- MeSH
- biologie MeSH
- filozofie MeSH
- mezioborová komunikace MeSH
- náboženství MeSH
- umělá inteligence MeSH
- vědomí MeSH
- Konspekt
- Teorie poznání. Epistemologie
- NLK Obory
- humanitní vědy a umění
- psychologie, klinická psychologie
- NLK Publikační typ
- kolektivní monografie
Augmentace prsů je v současnosti v celosvětovém měřítku nejčastěji prováděnou estetickou operací, která ve většině případů pacientkám výrazně zvedá sebevědomí. Přestože se nejedná o chirurgicky složitý zákrok, je zde riziko mnoha raných či pozdních komplikací, jež mohou přinést pacientce i chirurgovi výrazný pocit frustrace.
Breast augmentation is the most frequent aesthetic surgery operation in the world. In most cases it highly rises up patient´s self-confidence. Even it´s not really a difficult surgical procedure, it can bring many postoperative complications which can cause frustration for both patient and surgeon.
- MeSH
- implantace prsní náhrady metody MeSH
- lidé MeSH
- mamoplastika * MeSH
- pooperační komplikace MeSH
- prsní implantáty MeSH
- prsy chirurgie MeSH
- zákroky plastické chirurgie MeSH
- Check Tag
- lidé MeSH
- ženské pohlaví MeSH
- Publikační typ
- přehledy MeSH
- MeSH
- plastická chirurgie MeSH
- Publikační typ
- úvodní články MeSH
BACKGROUND: Analysis of gait features provides important information during the treatment of neurological disorders, including Parkinson's disease. It is also used to observe the effects of medication and rehabilitation. The methodology presented in this paper enables the detection of selected gait attributes by Microsoft (MS) Kinect image and depth sensors to track movements in three-dimensional space. METHODS: The experimental part of the paper is devoted to the study of three sets of individuals: 18 patients with Parkinson's disease, 18 healthy aged-matched individuals, and 15 students. The methodological part of the paper includes the use of digital signal-processing methods for rejecting gross data-acquisition errors, segmenting video frames, and extracting gait features. The proposed algorithm describes methods for estimating the leg length, normalised average stride length (SL), and gait velocity (GV) of the individuals in the given sets using MS Kinect data. RESULTS: The main objective of this work involves the recognition of selected gait disorders in both the clinical and everyday settings. The results obtained include an evaluation of leg lengths, with a mean difference of 0.004 m in the complete set of 51 individuals studied, and of the gait features of patients with Parkinson's disease (SL: 0.38 m, GV: 0.61 m/s) and an age-matched reference set (SL: 0.54 m, GV: 0.81 m/s). Combining both features allowed for the use of neural networks to classify and evaluate the selectivity, specificity, and accuracy. The achieved accuracy was 97.2 %, which suggests the potential use of MS Kinect image and depth sensors for these applications. CONCLUSIONS: Discussion points include the possibility of using the MS Kinect sensors as inexpensive replacements for complex multi-camera systems and treadmill walking in gait-feature detection for the recognition of selected gait disorders.
- MeSH
- algoritmy MeSH
- chůze (způsob) * MeSH
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- nervová síť MeSH
- Parkinsonova nemoc patofyziologie MeSH
- senioři nad 80 let MeSH
- senioři MeSH
- studie případů a kontrol MeSH
- zobrazování trojrozměrné metody MeSH
- zrychlení MeSH
- Check Tag
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- mužské pohlaví MeSH
- senioři nad 80 let MeSH
- senioři MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
BACKGROUND: Plaster casts of individual patients are important for orthodontic specialists during the treatment process and their analysis is still a standard diagnostical tool. But the growing capabilities of information technology enable their replacement by digital models obtained by complex scanning systems. METHOD: This paper presents the possibility of using a digital camera as a simple instrument to obtain the set of digital images for analysis and evaluation of the treatment using appropriate mathematical tools of image processing. The methods studied in this paper include the segmentation of overlapping dental bodies and the use of different illumination sources to increase the reliability of the separation process. The circular Hough transform, region growing with multiple seed points, and the convex hull detection method are applied to the segmentation of orthodontic plaster cast images to identify dental arch objects and their sizes. RESULTS: The proposed algorithm presents the methodology of improving the accuracy of segmentation of dental arch components using combined illumination sources. Dental arch parameters and distances between the canines and premolars for different segmentation methods were used as a measure to compare the results obtained. CONCLUSION: A new method of segmentation of overlapping dental arch components using digital records of illuminated plaster casts provides information with the precision required for orthodontic treatment. The distance between corresponding teeth was evaluated with a mean error of 1.38% and the Dice similarity coefficient of the evaluated dental bodies boundaries reached 0.9436 with a false positive rate [Formula: see text] and false negative rate [Formula: see text].
- MeSH
- algoritmy * MeSH
- analogově digitální konverze MeSH
- datové soubory jako téma MeSH
- elektronické zdravotní záznamy * MeSH
- fotografování metody MeSH
- lidé MeSH
- osvětlení metody MeSH
- počítačové zpracování obrazu metody MeSH
- poměr signál - šum MeSH
- ukládání a vyhledávání informací MeSH
- zubní oblouk anatomie a histologie MeSH
- zubní odlitky - technika * MeSH
- zubní záznamy * MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- MeSH
- chirurgické laloky MeSH
- lidé MeSH
- mastektomie * metody MeSH
- prsy chirurgie MeSH
- Check Tag
- lidé MeSH
- ženské pohlaví MeSH
- Publikační typ
- abstrakt z konference MeSH