Skin Disorders
Chapter 24 Skin Disorders I. Skin Histology and Terminology A. Normal skin histology 1. Epidermis a. Stratum basalis Stratum basalis: stem cells for division (1) Actively dividing stem cells along…
Lower Urinary Tract and Male Reproductive Disorders
Chapter 20 Lower Urinary Tract and Male Reproductive Disorders I. Common Ureteral Disorders A. Congenital megaloureter • May be associated with Hirschsprung’s disease Congenital megaloureter: association with Hirschsprung’s disease B….
Hemostasis Disorders
Chapter 14 Hemostasis Disorders I. Normal Hemostasis and Hemostasis Testing • Prevention of blood loss while maintaining maximal perfusion requires the interaction of the blood vessels, platelets, coagulation factors, and…
Environmental Pathology
Chapter 6 Environmental Pathology I. Chemical Injury • The two leading causes of illness and death in the United States are tobacco and alcohol use. A. Tobacco use Smoking: most…
Nutritional Disorders
Chapter 7 Nutritional Disorders I. Nutrient and Energy Requirements in Humans A. Recommended dietary allowance (RDA) 1. Optimal dietary intake of nutrients that under ordinary conditions will keep the general…
Immunohematology Disorders
Chapter 15 Immunohematology Disorders I. ABO Blood Group Antigens A. Definition of ABO blood group antigens • They are glycoproteins attached to the RBC surface. B. Blood group O characteristics…
Signal Separation Methods in Computational Neuroscience
is mixing matrix (or sometimes called as dictionary). Typically, t is any acquisition variable, over which a sample of mixture (a column for discrete acquisition variable) is collected. The most…
for Seizure Detection and Prediction: An Overview
Fig. 1 Schematic representation of seizure detection system Most studies present their solution to the problem of seizure detection in the context of a decision support system for the neurologist…
Effective Connectivity for Investigating the Neurophysiological Basis of Cognitive Processes
(1) where t refers to time and N is the number of electrodes or cortical areas considered. Supposing that the following MVAR process is an adequate description of the dataset…
Variants of the Common Spatial Patterns Method
(1) where x h (k) is the discrete Hilbert transform of a signal x(k) [15]. The above convolution effectively introduces a 90∘ phase shift at each frequency component of the signal…
