Introduction: The registration of respiration through the left and right nostrils simultaneously makes it possible to register the dynamics of the nasal cycle. Aim: To test the method, the nasal cycle of a patient with ischemic stroke of the right posterior cerebral artery territory was measured. Method: An interface two-channel portable system has been developed for registration of respiration separately through nostrils. Results: The patient's respiratory and nasal cycle through the left and right nostril was measured for 4.5 hours for three consecutive days (4 days after coming out of the coma). The nasal cycle changed progressively during the healing process. On the first day, an antiphase change in the amplitude of airflow through the left and right nostril was registered with frequency 3 and 1.5 hours. They were accompanied by pronounced somnolence. In the next two days, a nasal cycle reversal of the respiratory airflow through the nostrils was observed. In the process of the patient’s recovery, a spontaneous alternative alternation of equalized respiratory airflow through the two nostrils was observed. The patient's recovery was also assessed on the NIHSS scale, whose values correlated over time with the normalization of the nasal cycle. Conclusion: The method reflects the patient's recovery and can find application in neurology.
Background: We developed an automated smart phone application for detection of acute stroke using machine learning (ML) algorithms for recognition of facial asymmetry, arm weakness, and speech changes. Methods: We analysed prospectively collected data from patients admitted to 4 major metropolitan stroke centers with confirmed diagnosis of acute stroke. Speech and facial data were captured via video recording and arm data was captured via device sensors. A. Face. This module extracts 68 facial landmark points that are passed through a dimensionality reduction step and an asymmetry classifier. We implemented and compared 26 classification methods with neurologists' clinical impression and determined Quadratic Discriminative Analysis as the best one in terms of accuracy and interpretability. B. Arm. Using data extracted from 3D accelerometer, gyroscope, and magnetometer , we designed a grasp agnostic classifier based on AdaBoost to process motion trajectories and detect arm weakness.C. Speech. We developed an algorithm based on frequency analysis and Mel Frequency Cepstral Coefficients (MFCC) to detect abnormal/slurred speech. All tests were conducted within 72 hours of admission. Each of the three ML outputs was correlated with neurologists’ clinical impression. Results: Among the 269 analysed patients, 41% were female, the median age was 71, % had hemorrhagic and % had ischemic stroke. Final analyses of 18311 facial images revealed 99.42% sensitivity, 93.67% specificity, and 97.11% accuracy in detection of facial asymmetry. The results for 43 arm trajectories revealed 71.42% sensitivity, 72.41% specificity, and 72.09% accuracy in detection of arm weakness. Preliminary analysis of MFCC algorithms confirmed adequate features for abnormal speech detection Conclusions: Our preliminary results confirm that smartphone enabled ML-algorithms can reliably identify acute stroke features with accuracy comparable to neurologists’ clinical impression.
Ever since probiotics have become a modern topic to discuss in the last few decades, they came out as the most important and independent regulatory system of our metabolism. ``We are what we eat`` or the way of how food modeling us. And it is not about exactly the food but the probiotics in it. In 2012 our team published an article about the connection of probiotics and glucose metabolism (1). At the same time, the whole scientific world worked on different relationships between the gut microbiome and body functions. For literally few years ago, there is a massive progress of knowing the fine mechanisms and importance on this condition – the symbiosis with ``the good`` bacteria. If we think about the reason why it is so popular today and why so many researchers work on it, we only can point out the modern lifestyle and the bad quality of food accompanied it. The relationship between those two is the busy lifestyle and the necessary to eat the canned meal fulfilled of preservatives and poor of microbiome, combined with often antibiotic uses which destroyed your balance in long-term plan. Those states of continuing do`s eventually can ruin your life through the nervous system. We can conclude that the misdiagnose of dysbiosis is the 21st century challenge.
The article discusses the use of transcranial pulse stimulation (TPS), a treatment method that uses ultrasound to penetrate the brain up to 8 cm. The article aims to review published studies on the effects of TPS on Alzheimer’s disease and to link the mechanism of the treatment with the pathophysiology of the disease. The discussion highlights the pathological triad of senile plaques, neurofibrillary tangles, and granular degeneration that causes Alzheimer’s disease. Patients with diabetes mellitus are predisposed to degenerative diseases, and the overlap between Alzheimer’s disease and obesity may be explained by the use of streptozotocin, which generates reactive oxygen species leading to DNA damage and cell death. The accumulation of beta-amyloid in the brain, mitochondrial malfunction, decreased production of ATP, and energy insufficiency is also discussed. The article concludes that TPS is a potential treatment for Alzheimer’s disease and that it can boost the expression of growth factors, enhance the flow of blood to the brain, trigger the creation of novel blood vessels, and promote the regeneration of nerves.
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