Determining the Intensity of Basic Emotions among People Suffering from Anorexia Nervosa Based on Free Statements about Their Body

Objective: This study sought to address one of the challenges of psychiatry-computer aided diagnosis and therapy of anorexia nervosa. The goal of the paper is to present a method of determining the intensity of five emotions (happiness, sadness, anxiety, anger and disgust) in medical notes, which was then used to analyze the feelings of people suffering from anorexia nervosa. In total, 96 notes were researched (46 from people suffering from anorexia and 52 from healthy people). Method: The developed solution allows a comprehensive assessment of the intensity of five feelings (happiness, sadness, anxiety, anger and disgust) occurring in text notes. This method implements Nencki Affective Word List dictionary extension, in which the original version has a limited vocabulary. The method was tested on a group of patients suffering from anorexia nervosa and a control group (healthy people without an eating disorder). Of the analyzed medical, only 8% of the words are in the original dictionary. Results: As a result of the study, two emotional profiles were obtained: one pattern for a healthy person and one for a person suffering from anorexia nervosa. Comparing the average emotional intensity in profiles of a healthy person and person with a disorder, a higher value of happiness intensity is noticeable in the profile of a healthy person than in the profile of a person with an illness. The opposite situation occurs with other emotions (sadness, anxiety, disgust, anger); they reach higher values in the case of the profile of a person suffering from anorexia nervosa. Discussion: The presented method can be used when observing the patient’s progress during applied therapy. It allows us to state whether the chosen method has a positive effect on the mental state of the patient, and if his emotional profile is similar to the emotional profile of a healthy person. The method can also be used during first diagnosis visit.

CRITERIA FOR PREDICTING BIOELECTRICAL PROCESSES IN THE HUMAN HEART UNDER VARIOUS STAGES OF ACUTE HYPOXIA

Despite much available information on the heart activity under acute normobaric hypoxia (ANH), there are no data on the leading ECG components and the criteria for predicting their deviations at various stages of ANH and depending on its duration. The aim of the paper is to determine the leading ECG components and the dependence of their deviations on the initial parameters at different stages of acute normobaric hypoxia and depending on its duration in a healthy person. Materials and Methods. The shifts in parameter indicators were determined in two groups of men (aged 18–26) under 20-minute mild (14.5 % O2, n1=30) and medium (12.3 % O2, n2=29) ANH. During the study the authors used 7 ECG parameters and oximetry. Statistica 10.0 software package was used for data processing. The authors determined normality of distribution, they also used factor analysis, correlation, and regression. Results. For all ANH degrees, the leading factor included QT, T1II, and (with one exception) RR. In case of mild ANH, the 1st factor was supplemented by P1II at the 5th minute of exposure, and in case of medium ANH at the 20th minute. The second most important factor in case of mild ANH was determined by BAR and RII at the 5th and 20th min and by BAR at the 10th min. In case of medium ANH it was supplemented by P1II at the 5th min, by RII and BAR at the 10th min, and by BAL at the 20th min. It was shown that in case of mild ANH P1II, RII, BAR, and RR deviations reliably depend on the initial parameters; for medium ANH, such dependence is observed for RR and QT at the 5th and 10th min, for RII at the 10th and 20th min, and for P1II at the 20th min. Conclusion. The main markers of heart bioelectrical processes under ANH are QT, T1II and RR, other parameters are variable. The availability to predict deviations of ECG parameters by their initial parameters depends on ANH stage. Key words: human, hypoxia, oximetry, electrocardiography, factorial, correlation, regression analysis. Несмотря на имеющиеся многочисленные сведения о деятельности сердца при острой нормобарической гипоксии (ОНГ), данные о ведущих компонентах ЭКГ и критериях прогнозирования их отклонений при разной степени ОНГ и в зависимости от ее длительности отсутствуют. Цель работы – определить ведущие компоненты ЭКГ и зависимости их отклонений от исходных величин при разных степенях острой нормобарической гипоксии и в зависимости от её длительности у здорового человека. Материалы и методы. С помощью ЭКГ (7 параметров) и оксигемометрии определены сдвиги их показателей у мужчин (18–26 лет) двух групп при легкой (14,5 % О2, n1=30) и средней (12,3 % О2, n2=29) ОНГ в течение 20 мин. Материал обработан с помощью программного пакета Statistica 10.0. Определяли нормальность распределения, применяли факторный анализ, корреляцию, регрессию. Результаты. При всех степенях ОНГ ведущий фактор включал QT, T1II и (с одним исключением) RR. При легкой ОНГ 1-й фактор на 5-й мин воздействия дополняется P1II, а при средней ОНГ на 20-й мин – P1II. Второй по весомости фактор при легкой ОНГ на 5-й и 20-й мин определяется BAR и RII, на 10-й мин – BAR, а при средней ОНГ на 5-й мин – P1II, на 10-й мин – RII и BAR, на 20-й мин – BAL. Показано, что при легкой ОНГ от исходных данных достоверно зависят отклонения P1II, RII, BAR и RR, при средней ОНГ такая зависимость наблюдается для RR и QT на 5-й и 10-й мин, для RII на 10-й и 20-й мин и для P1II на 20-й мин. Выводы. Основными маркерами биоэлектрических процессов сердца при ОНГ являются QT, T1II и RR, остальные параметры отличаются вариабельностью. Возможность прогноза отклонений параметров ЭКГ по их исходным величинам зависит от степени ОНГ. Ключевые слова: человек, гипоксия, оксигемометрия, электрокардиография, факторный, корреляционный, регрессионный анализы.

MUKHA KRIYAKALPA - PROCEDURES FOR PREVENTION AND MANAGEMENT OF ORAL CAVITY DISORDERS

Mukha (oral cavity) is considered as a gateway for the alimentary canal, health of the oral cavity reflects the body health as healthy oral cavity aids in proper digestion of the food consumed. The oral cavity also takes part in bodi- ly functions like respiration and speech. It also contributes to the beauty and confidence of an individual. Mukha is comprised of Osta (lips), Dantamula (Gums), Danta (Tooth), Jinhva (Tongue), Taalu (Palate), Gala (Throat). Since the Oral cavity is constantly exposed to the external environment, there are more chances of trauma and infections. Hence to avoid the chances of oral cavity diseases it is very important to maintain good oral hygiene. Kriyakalpa is the therapeutic procedure applied locally and are considered under bahirparimarjana chikitsa. Ka- vala, Gandusha and Pratisarana are kriyakalpas explained for good oral hygiene. These can be used as a daily regimen to maintain good oral hygiene and in mukharoga as therapeutic procedures. These mukha kriyakalpa- due to their cleaning action and by increasing defence mechanism, promotes oral health and prevents many oral disorders. Various formulations for mukha kriyakalpa are available for a healthy person based on prakriti and for treatment based on vitiated dosha avastha. Keywords: Mukha kriyaklpa, Oral hygiene, kavala, Gandusha, Pratisarana.

Temporary cardiointerval organization with varying degrees of acute normobaric hypoxia in a healthy person

The influence of acute normobaric hypoxia (ANH) on the male heart chronotropic effects was studied. Thus, a mild degree of ANH (14.5 % O2, 20 min), causing a decrease in blood oxygenation by 6.3 abs. %, accompanied by an initial (by 5 min) decrease in the RR and QT intervals. The average degree of ANH (12.3% O2) leads to a decrease in blood oxygenation by 19.7 abs. %. At the same time, in inverse relationship to the developing hypoxemia, RR and QT significantly decrease. Corrected values (Pc, PQc, QRSc, QTc) increase during the action period of an average degree of hypoxia, indicating an increase in the proportion of atrial contraction time, atrioventricular conduction of excitation and electrical ventricular systole in the total RR duration, which, apparently, provides optimal systolic heart effect. Key words: human, hypoxia, blood oxygenation, cardiointervals.

Garment-Integrated Thermoelectric Generator Arrays for Wearable Body Heat Harvesting

Wearable thermoelectric generator arrays have the potential to use waste body heat to power on-body sensors and create, for example, self-powered health monitoring systems. In this work, we demonstrate that a surface coating of a conducting polymer poly(3,4-ethylenedioxythiophene) (PEDOT-Cl), created on one face of a wool felt using a chemical vapor deposition method was able to manifest a Seebeck voltage when subjected to a temperature gradient. The wool felt devices can produce voltage outputs of up to 120 mV when measured on a human body. Herein, we present a strategy to create arrays of polymer-coated fabric thermopiles and to integrate such arrays into familiar garments that could become a part of a consumer’s daily wardrobe. Using wool felt as the substrate fabric onto which the conducting polymer coating is created allowed for a higher mass loading of the polymer on the fabric surface and shorter thermoelectric legs, as compared to our previous iteration. Six or eight of these PEDOT-Cl coated wool felt swatches were sewed onto a backing/support fabric and interconnected with silver threads to create a coupled array, which was then patched onto the collar of a commercial three-quarter zip jacket. The observed power output from a six-leg array while worn by a healthy person at room temperature (ΔT = 15 °C) was 2 µW, which is the highest value currently reported for a polymer thermoelectric device measured at room temperature.

A REVIEW ON THE ACTION OF AGNIKARMA

Ayurveda is an ancient medicinal system; the basic principle of Ayurveda is that a healthy person should maintain good health and a diseased person should be cured. Ancient Ayurvedic Acharya has mentioned various treatments in their Samhitas. e.g., medicinal, surgical etc. Acharya Sushrata has mentioned various surgical procedures along with some para surgical procedures. Agnikar- ma is one of the superior anushastra karma (para surgical measure). Acharya Sushruta confidently said about Ag- nikarma that the disease treated by it can never occur again. In this modern era, it is performed and evolved as therapeutic burns or cauterization. Keywords: Agnikarma, shalyakarma, dosha.

Experimental dependences of measurement data on the volume of inhaled air in multi-frequency electrical impedance tomography

This paper proposes an approach to modeling the process of artificial ventilation of human lungs by their controlled filling with a fixed volume of air, using an incentive spirometer Coach 2. This makes it possible to simulate the ventilation process for a healthy person and to link the assigned respiratory volume to measurement data. The results of experimental studies of the developed system of multifrequency electric impedance tomography are presented. The tests were performed for the frequency range from 50 kHz to 400 kHz (with a pitch of 50 kHz) at assigned respiratory volumes from 500 ml to 4,000 ml (with a pitch of 500 ml) for five inhalation/exhalation cycles. The scheme of research: active inhalation ‒ passive exhalation, the number of tested volunteers ‒ 3 people from the developers of the system. As a result, the dependences of the measured values of changes in potentials on the frequency of injected current for different respiratory volumes in three test participants without pathologies of the respiratory function and the external respiration function were obtained. The obtained results of the experimental studies show that there is a dependence of the value of the measurement data both on the volume of inhaled air and on the frequency of the injected current. This feature can be used to develop a number of medical devices for personalized monitoring of human lung function. It was also revealed that there are frequencies at which the maximum spread of measurement data according to the results of a series of repeated experiments is observed. At the same time, the nature of the change in the measurement data of the EIT at an increase in the volume of inhaled air is the same for all test participants. It is assumed that this feature can also be used to increase the EIT personalization degree

ROLE OF AMALAKI RASAYAN AS AN ANTIOXIDANT IN OXIDATIVE STRESS

Ayurveda is the science of life. The main aim of Ayurveda is to maintain the health of a healthy person and to cure the diseased person. For the maintenance of the health of a healthy person, rasayan chikitsa is advised in Ayurve- da. Rasayan chikitsa is the separate branch of Ayurveda, which deals with various aspects of preventive health care. In today’s modern era, the incidence of lifestyle disorders like hypertension, obesity, diabetes mellitus and cardiovascular diseases increased, because of altered dietary and living patterns. Oxidative stress may be respon- sible for most of the diseases. Lack of dietary antioxidants supplements and generation of free radicals induces disease associated with oxidative stress. Oxidative stress is essentially an imbalance between the production of free radicals and the ability of the body to counteract or detoxify their harmful effects through neutralization by antioxidants. Free radicals contain unpaired electrons, and they are unstable and highly reactive. They donate or accept an electron from other molecules, therefore behaving as oxidants. An antioxidant is a stable molecule, enough to donate an electron to rampaging free radical and neutralize it, thus reducing its capacity to damage. Ac-cording to Ayurveda, Amalaki is the best rasayan, tridoshhar. As per modern science, it contains the largest amount of vitamin C (6oomg), and vitamin C has the best antioxidant property. Amalaki rasayan plays an im- portant role as an antioxidant and thus relives oxidative stress, thus helpful in the prevention of many diseases. Keywords: Rasayan, antioxidant, free radicals, Amalaki

Wavelet Analysis and Self-Similarity of Photoplethysmography Signals for HRV Estimation and Quality Assessment

Peak-to-peak intervals in Photoplethysmography (PPG) can be used for heart rate variability (HRV) estimation if the PPG is collected from a healthy person at rest. Many factors, such as a person’s movements or hardware issues, can affect the signal quality and make some parts of the PPG signal unsuitable for reliable peak detection. Therefore, a robust HRV estimation algorithm should not only detect peaks, but also identify corrupted signal parts. We introduce such an algorithm in this paper. It uses continuous wavelet transform (CWT) for peak detection and a combination of features derived from CWT and metrics based on PPG signals’ self-similarity to identify corrupted parts. We tested the algorithm on three different datasets: a newly introduced Welltory-PPG-dataset containing PPG signals collected with smartphones using the Welltory app, and two publicly available PPG datasets: TROIKAand PPG-DaLiA. The algorithm demonstrated good accuracy in peak-to-peak intervals detection and HRV metric estimation.

Necessity of an Exclusive Health Care Model for Individuals with Quintessential Epigenetic Efficiency

Definition of health cannot be oversimplified. Understanding about health status of individuals should not be solely based on physiologic parameters examined in the resting state and comparing individual-specific health data with any established/obsolete statistical average because this approach could mislead people to anticipate better health without essential lifestyle interventions and modifications. Are we health-educating unhealthy people to curb their disease by adapting the lifestyle of healthy people? A healthy person could be abstaining from toxic substances, exercising regularly, consuming nutritious foods, sleeping adequately, reproducing naturally, excelling in sports, practicing spirituality, resisting disease developments/progressions, falling sick rarely every year, recuperating much faster even falls sick, ageing at slower pace and living longer. There is no miraculous medicine or therapy that could afford complete cure from the diseases unless unhealthy individuals incline to learn and adapt a healthy lifestyle. Unhealthy individuals, in this context, are those who have knowingly sabotaged their health despite being aware of the hazards of sedentariness, unstructured lifestyle, malnourishment, stress and ingesting toxic substances. Unhealthy people should not assume that they would return to health and sustain better health without comparing themselves with the qualities of healthy individuals. For instance, low back aches of people who cannot even activate their Erector Spinae to bend forward correctly are not the same as people who can bend forward correctly activating strong Erector Spinae while exercising with barbell or dumbbell. Of course, it may not be entirely possible to revitalize the chronically-diseased individuals but at least some of the health guidelines formulated on the basis of lifestyle of healthy individuals should be incorporated in the treatments and rehabilitations. The difference between healthy and unhealthy people is extremely vast which we have not yet acknowledged scientifically. Superior health-fitness excellence of healthy individuals is an expression of high epigenetic efficiency to favor Morbidity-Attenuated Life Years (MALYs). In contrast, Disability-Adjusted Life Years (DALYs) could be associated with different degrees of epigenetic inefficiency or epigenetic dysfunctions. MALYs belong to healthy persons and DALYs belong to unhealthy persons. DALYs are characterized by almost predictable disease/disability events but MALYs have been mysterious. The mysteries of MALYs can be solved by developing an exclusive health care model for healthy individuals and it would remain unsolved without the inclusion of Physiotherapists, Exercise Professionals and Dieticians. KEY WORDS: Epigenetics, Exercise Tolerance, Health, DALYs, Spiritual intelligence, Fitness, Functional status, Aging, Physical Activity, Lifestyle, Sedentary, Co-morbidities, Kinanthropometry, Salutogenesis.