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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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

husna232@salam.uitm.edu.my

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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