2008 IEEE INTERNATIONAL RF AND MICROWAVE CONFERENCE PROCEEDINGS 2008 IEEE INTERNATIONAL RF AND MICROWAVE CONFERENCE PROCEEDINGS 2008 IEEE INTERNATIONAL RF AND MICROWAVE CONFERENCE PROCEEDINGS 2008 IEEE INTERNATIONAL RF AND MICROWAVE CONFERENCE PROCEEDINGS December 2December 2December 2December 2----4, 2008, Kuala Lumpur, MALAYSIA4, 2008, Kuala Lumpur, MALAYSIA4, 2008, Kuala Lumpur, MALAYSIA4, 2008, Kuala Lumpur, MALAYSIA
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R F
M 08
Analysis of Correlation between BMI and Human Physical Condition using
Resonant Field Imaging System (RFI)
Husna Abdul Rahman, Siti Nurdiana Mohamad Rameli, Ros Shilawani S. Abd Kadir, Zunairah
Haji Murat and Mohd Nasir Taib
Centre Education of Communication Engineering,
Faculty of Electrical Engineering,
MARA University of Technology, 40450 Shah Alam, Selangor Darul Ehsan
Abstract - This technical paper investigates the
correlation of body mass index (BMI) and human
physical condition using resonant field imaging system
(RFI).The results show the state of health level of
students using physiological analysis. Frequency
measurement is taken for 40 students including male
and female students of electrical engineering around 8
am to 6 pm. The objective is to investigate the
relationship of different health condition with different
BMI category such as underweight, normal,
overweight and obese. Based on the results presented,
it is concluded that the samples with normal BMI are
generally healthier. This shows that there is a clear and
direct psychosomatic connection to the area of
bioenergy. It also implies that pure and high frequency
electrofield energy is projected from parts of the body.
Keywords: Body Mass Index (BMI), Resonant Field Imaging
(RFI), Electromagnetic (EM), Magnetic Resonant Imaging
(MRI).
1. Introduction
1.1 Aura The aura is highly characterized and affected by
the emotional and physical condition of the person, the
biological homeostasis or imbalance of the plant life or
the molecular energies inherent in and surrounding an
object. This makes the reading of auras very useful and
a powerful tool for the metaphysical and clinical of
humans, animals, plants and objects. Metaphysical
energy consists of ambient electro field subtle energies
that carry information.
Since the frequency of electromagnetic fields
energy information reveals the type and function of the
energies, all metaphysical energies can be identified by
their frequency. Color is defined by frequency and the
aura is merely an electromagnetic radiation of diverse
frequencies. Hence, the aura can be effectively
analyzed by identifying which color is in part of the
aura [1].
1.2 Resonant Field Imaging (RFI) Resonant Field Imaging (RFI) is an external type
of Magnetic Resonant Imaging (MRI). RFI is an
electromagnetic feedback and imaging process. This
new technology gives detailed scientific information
and objective interpretations for all auras, bioenergy
fields and identifies the type and function of all
bioenergies present in specific regions of human brain.
The RFI system accurately identifies and
interprets 15 colors of bioenergy, representing all 15
distinguishable colors of the optical spectrum, giving it
the maximum possible usefulness for detailed and
accurate images and interpretations.
The RFI system employs a hand-held frequency
meter with a specially tuned antenna that measures the
frequency in megahertz around the body at various
points and distances. It gives a true, real-time reading
of the aura frequencies in the natural state at the point
of testing.
Each frequency can be correlated to one of the
fifteen colors on a frequency chart to assist in looking
at the aura colors. The computer software program that
accompanies the RFI system takes the entered
frequencies, prints the color chart of the aura colors of
health level and then prints a complete printout of the
meaning of color in the specific areas.
2. Methodology
2.1 RFI Data Acquisition The Resonant Field Imaging (RFI) consists of a
hand-held digital frequency counter device together
with a specially tuned antenna and computer software.
The antenna is a standard receiving dipole antenna
with a maximum input impedance of 50 ohms. When
electromagnetic (EM) waves interact with the antenna,
an alternating charge (voltage) is produced on the
surface of the antenna, which induces an alternating
electric current. The current travels to the internal
electrical circuitry of the frequency counter where the
amplitude of the current is detected and converted into
frequencies. Impedance (also called resistance) is
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present in the antenna to protect the internal circuitry
against damage that would result from high electric
current. The maximum 50 ohm impedance is found at
the ends of the antenna and is constant for the entire
bandwidth that the frequency counter can measure
(1MHz to 3GHz). The minimum impedance in the
antenna (any dipole antenna) is found at the center.
Therefore, when measuring weak fields, it is important
to make sure that the center of the antenna is within the
area intended for measurement, since the antenna is
most sensitive at the center. However, conversely since
the center of the antenna has the least impedance it is
also the location where the antenna is the most
vulnerable to damage from high strength electric
fields. The higher the impedance applied to the
antenna, the lower the current that reaches the
counter’s circuit and the lower the frequencies
detected. The frequency counter comes equipped with
a filter module, which when turned to the “ON”
position, causes the internal circuitry to ignore
fluctuating currents induced by rapid changes in the
electric field strength of EM waves [1].
The Resonant Field Imaging (RFI) software
program contains 36 distinct regions for bioenergy
measurements but only 17 distinct regions are
considered for health level and 7 distinct regions for
endocrine system. The colors are burgundy, red, rose,
orange, gold, yellow, green, cyan, gray/black, blue,
navy, purple, orchid, silver and white. The frequency
measurement procedure is as follows:
1. Make sure the sample is standing up before
taking the measurement.
2. Ensure the display reads “0.000” with the
filter set to the “ON” position to ensure that
strong signals are not entering the work
environment.
3. Turn the filter “OFF” and the range is set to
3GHz.
4. Start measuring the frequency from all the 17
health level regions. Measurements are taken
from points as shown in Figure 1.
5. All the frequency data is then plucked in to
the RFI software to convert the frequencies to
colors.
2.1 Data Analysis This section considers all 17 health level regions
which are located 0 to 4 inches from the lower left leg,
upper left leg, left torso (hip/pelvic area), lower left
arm, upper left arm, left side of neck/shoulder, left side
of head, top of head, right side of head, right side of
neck/shoulder, lower right arm, upper right arm, right
torso, upper right leg and lower right leg.
The detected frequencies are associated with 15
distinguishable colors of the visible light spectrum and
further interpretations for these colors were made. The
color interpretation was made by Innovation
Technologies and Energy Medicine (ITEM) [1]
through logical analyses of relevant principles of
physics and medicine, and through experimental
observations. Color interpretations are divided into
four categories as shown in Table 1.
Figure 1: The point to be measured for the health
level of human body aura.
Table 1: Color Category
Category Color
Unhealthy Red,
Grey/black
Unhealthy to
Healthy
Burgundy,
Green,
Orange, Blue
Healthy to
Unhealthy Navy
Healthy
Rose,
Gold,
Yellow,
Cyan,
Purple,
Orchid,
Silver,
White
3. Results and Discussion
Frequency measurements were taken from 17
points per sample. These points will later be referred to
as the measurement points.
Figure 2 shows the bar graph of the percentage of
measurement points that relate to the different health
categories (unhealthy, unhealthy to healthy, healthy to
unhealthy and healthy) versus the samples’ BMI
category.
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PHYSICAL ANALYSIS
0%
10%
20%
30%
40%
50%
60%
70%
UNDERWEIGHT
NORMAL
OVERWEIGHT
OBESE
BMI
PERCENTAGE
UNHEALTHY
UNHEALTHY TO
HEALTHY
HEALTHY TO
UNHEALTHY
HEALTHY
Figure 2: Physical Analysis
From the graph, it was found that the percentage
of measurement points that exhibit healthy signs are
high for the normal and overweight samples, which are
58% and 54% respectively. Among the signs of good
health are physical body experiences, physical
comfort, enjoyable sensations of the body, vitality,
neurological activity and circulatory systems such as
blood circulation.
The overweight samples show almost equal
percentage for “healthy” and “unhealthy to healthy”
conditions. This “unhealthy to healthy” condition
relates to an increased biological activity in the form of
growth, regrowth or regeneration. The healing and
soothing energy is currently acting upon the effected
area. The effected area is currently experiencing either
the state of increase in blood circulation or the
situation where healthy neurological activity is causing
an increase in blood circulation from unhealthy level
to healthy level. This condition is related to physical
comfort, relaxation or resting of muscles or organs.
Obese samples have the highest percentage for
unhealthy condition and the lowest percentage for
healthy condition. A small amount of percentage exists
for the “healthy to unhealthy” condition for all the
BMI categories. This category relates to biological
malfunction or physical damage. It may also indicate a
pain response or pain sensation in the area of
bioenergy with or without actual malfunction or
damage. This also may be due to over stimulation and
stress of biological systems, organs or circulatory
systems.
This outcome is in line with the research done by
Tseng, C.H. [2], and also Jang, H.S. and Choi, J.H. [3].
Tseng concluded that BMI is significantly linked to
blood pressure or hypertension throughout the range of
BMI in diabetic patients in either sex regardless of a
previous hypertension history. For every l unit of
increase in BMI for patients without a hypertension
history, the systolic and diastolic blood pressures
significantly increased by 0.618 and 0.447 mmHg for
men; and by 0.637 and 0.462 mmHg, respectively, for
women. He interviewed samples and analyzed data
from Taiwan National Health Insurance [2]. A similar
method was done by Jang and Choi, and they found
out that blood pressure (SBP, DBP), total cholesterol,
blood glucose, SGOT, SGPT and γ-GTP all became
higher according to these influences. In conclusion,
health status becomes worse and possibilities of
chronic disease prevalence rate increases according to
aging and the increase of BMI [3].
4. Conclusion
From these findings, it can be concluded that
people with normal BMI are healthier compared to
people from other BMI categories. People who are
obese and overweight have higher tendency to become
unhealthy. The Resonant Field Imaging (RFI) can be
used as a tool for providing scientific evidence for the
correlation between BMI and human physical
condition.
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References
[1] Technician’s Manual for Scientific and Clinical
Applications, Resonant Field Imaging, Innovation
Technologies and Energy Medicine April 1, 2003.
[2] Tseng, C.H., “Body mass index and blood
pressure in adult type 2 diabetic patients in
Taiwan,” Circulation Journal 71 (11), 2007, pp.
1749-1754.
[3] Jang, H.S., Choi, J.H.,“The health status according
to the age and BMI of male workers in Daegu -
Gyeongbuk Region,” Journal of the Korean
Society of Food Science and Nutrition 36 (3),
2007, pp. 318-326
[4] Zuraini Awang, “Aura and Brain Imaging Using
Resonant Field Imaging System for Male
Electrical Engineering,” Degree Dissertation,
MARA University of Technology, Shah Alam,
Malaysia, May 2003.
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