How To Lose Waist Fat By Consume 4 Essential foods

You must have heard that in order to lose your weight you have to strarve.  I will tell you that you don’t have to, you still can eat certain food, all you have to do is to change one form to another. This is not a kind of food which contain any chemical to boost your metabolism which promise you with quick weight lose.

Your body will get faster lose weight when it burn more calories. The food that i am going to talk about will need more calories from your body in order to digest it.

When we are getting older, our body metabolism getting slow considerably.  That is why most people gain weight during their middle age. In the middle age, a person's metabolic rate becomes low; hence he is not able to burn as much fat as he used to during his youth. Eating these 'special' foods is, however, a good way of boosting your metabolic rate! Below are foods that can increase your metabolic rate:

1. Green Tea: If you already have a habit of drinking tea in the morning, you can easily replace it with green tea! Ordinary tea is good, but green tea is even better! Green tean contains fat burning chemicals which will help you to lose fat. That’s why many of the weight loss supplements you see in the market have green tea as a common ingredient!

2. Peanut butter: The different between ordinay butter and Peanut butter is in it ingredients ordinay butter is rich in fat while penaut butter is rich in protein and fiber which will help burn fat in the body. Protein will help burn fat by making muscle mass and fiber will help suppresisng appetite for along time. This is why replacing ordinary butter with peanut butter will be great to reducing fat in the body. Buy natural peanut butter instead of popular brands.  You can make it yourself if you want. Peanut butter makes for a great breakfast when combined with wholegrain wheat!

3. Almond:  It contains good fatty acid and protein both are essential nutrients to our body. Almond help body to burn fat byboosting metabolic rate. There are two kind of fat available: the good fat and the bad fats. The bad fats must be avoided because they will make you fat! The good fats, on the other hand, supply your body with essential nutrients such as fatty acids.

4. Beans: The loner you can suppress your appetite, it will determine how fat you will lose your weight. Beans will make your stomach full for along time because it contains fiber.Beans are great a great appetite supplement.

Heart Rate Variability Analysis

Heart rate variability (HRV) is a measure of variations in the heart rate. It is usually calculated by analyzing the time series of beat-to-beat intervals from ECG or arterial pressure tracings.

Various measures of heart rate variability have been proposed, which can roughly be subdivided into time domain, frequency domain and non-linear measures. HRV is regarded as an indicator of the activity of autonomic regulation of circulatory function. It also regarded as the definitive method of analyzing the activity of the autonomic nervous system. Alteration (mostly reduction) of HRV has been reported to be associated with various pathologic conditions like hypertension, hemorrhagic shock, and septic shock. It has found its role as a predictor of mortality after an acute myocardial infarction.

TIME DOMAIN

A simple example of a time domain measure is the calculation of the standard deviation of beat-to-beat intervals. Other time domain measures include root mean square of the differences between heart beats (rMSSD), NN50 or the number of normal to normal complexes that fall within 50 milliseconds, and pNN50 or the percentage of total number beats that fall with 50 milliseconds. SDNN has been strongly correlated to overall variability, while rMSSD relates to the parasympathetic nervous system activity on heart rate.

FREQUENCY DOMAIN

A common frequency domain method is the application of the discrete Fourier transform also known as the Fast Fourier transform, to the beat-to-beat interval time series. That expresses the amount of variation for different frequencies. Several frequency bands of interest have been defined in humans. High Frequency band (HF) between 0.15 and 0.4 Hz. HF is driven by respiration and appears to derive mainly from vagal activity or the parasympathetic nervous system.

Low Frequency band (LF) between 0.04 and 0.15 Hz. LF derives from sympathetic activity and has been hypothesized to reflect the delay in the baroreceptor loop. This delay is attributed to the sympathetic systems use of a second messenger system known as the cyclic AMP (cAMP) system.

Very Low Frequency band (VLF) band between 0.0033 and 0.04 Hz. The origin of VLF is not well known, but it had been attributed to thermal regulation of the body’s internal systems.

In the last few years HRV acquired an extreme popularity in almost all branches of contemporary medicine, including in the area of prevention. One of the creators of this new trend is Prof. Dr. Svetoslav Danev, who proved that the unfavorable changes in HRV could be used as a predictor of wide range of life-threatening diseases, including carcinosis (the extensive spread of cancer throughout the body). This was determined in the course of a long-year cohort research and monitoring.

Since HRV reflects most directly the balance in the two branches of the Autonomic nervous system – sympathetic and parasympathetic (vagus), this triggered the creation of a new important bio-constant – the so called vegetative equilibrium. It has a wide application not only in the prevention, but also in other branches of medicine.

From a mathematical perspective, HRV reflects the regularity of the heart beat activity – increased regularity corresponds to decreased heart rate variability, and vice versa. The heart rate variability is derived from the difference in time intervals elapsed between two consecutive heartbeats, called cardiointervals (R-R intervals) and measured in milliseconds (ms). The cardiointervals are received from the ECG signal, as it is demonstrated on the figure bellow.


ECG is electrocardiogram, the QRS complexes correspond to heartbeats, and R-R 1 and R-R 2 are cardiointervals.

The increased sympathicus activity (tone) results in a decreased HRV, and vice versa – the increased parasympathicus activity increases the HRV.

Statistically important correlation has been discovered between the HRV parameters and other basic clinical and paraclinical investigations and researches.

This proved the existence of an important relation between the results obtained by Critical Care Assessment and certain clinical, laboratory, physiological, and psychological examinations. Critical Care Assessment, however, has the advantage of more accurate algorithms, obtaining better patient data and easier practical application and execution.

HRV does not reflect the exact diagnosis, but rather the nonspecific anterior health risk in percentage (prior to the development of the disease process), since HRV measures the qualitative/numerical levels of stress and training, both of which are major risk factors. Chronically increased levels of health risk (for a time period longer than few months) can result in progress of serious diseases. Many scientific research papers and reports have been published on the topic of the reliability of HRV application in different branches of medicine – as described in the “HRV IN DIFFERENT MEDICAL AREAS” section.