Retracted: Human body radiation wave analysis on the human torso

Jalil, Siti Zura A.; Abdullah, Hasnain; Taib, Mohd Nasir

doi:10.1109/icbaps.2015.7292211

Cited by 8 publications

(4 citation statements)

References 26 publications

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“…The Left and Right segment is referred to sagittal plane, where the left and right sides of the body is also divided and splitting the center of the head, torso and between the legs. For Chakra, is an energy center in human being and can be described as Previously, research works on the human electromagnetic radiation has found male and female distinction on several body segments [8,9], and a significant result also has shown in classifying body segment on Upper body, Torso, Arm and Lower body [10]. Therefore, further examination on distinguishing characteristic of body segments on Left, Right and Chakra are proposed.…”

Section: Introductionmentioning

confidence: 99%

Segmentation of the human body based on frequency of human electromagnetic radiation

Jalil

Aris

Bani

et al. 2020

IJEECS

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<p>This paper discusses the body segment recognition based on human electromagnetic radiation frequency. Twenty-three points of human electromagnetic radiation are studied experimentally from thirty-three healthy human subjects. Three human body segments are considered, namely Left, Right and Chakra. For the purpose of recognition, k-Nearest Neighbor (KNN) algorithm is used to classify the segments of the human body. Then, the performances of classification are determined based on the accuracy and Receiving Operating Characteristic (ROC) analysis. It is found that the proposed technique accurately classifies the body segments with 100% accuracy, thus suggest that the proposed technique is significant to classify human body segments.</p>

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Section: Introductionmentioning

confidence: 99%

Segmentation of the human body based on frequency of human electromagnetic radiation

Jalil

Aris

Bani

et al. 2020

IJEECS

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“…biophysical and chemical processes, such as endogenous electromagnetic fields, are associated with living organisms' physiological and pathophysiological behaviors. Radiation waves of the human body are measured through non-invasive methods [38,39]. In anatomy, each part of the body has different level of ration wave generation based on the physiological and pathophysiological parameters.…”

Section: Antenna As Sensormentioning

confidence: 99%

HI-Shaped Antenna for Non-Invasive Diabetes Measurement and Monitor Fluctuating Diabetes

Kirubakaran,

Bennet.,

Shanker

2023

ECTI-EEC

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The HI antenna senses the human pancreas dielectric radiation for diabetic measurement. Existing passive sensor antennas sense the dielectric radiation from the pancreas region at frequencies of 402.5 MHz and 2.4 GHz for a relative permittivity of 61.2155 and 57.201, respectively. The proposed antenna senses the dielectric properties of diabetic-affected pancreas, such as low and high-fat diabetic pancreas, in the frequency range between 1.5 GHz and 3 GHz. The relative permittivity of the diabetic pancreas is in the range of 48.235 to 65.508. The proposed antenna can sense the diabetic range between 70 mg/dl and 475 mg/dl based on a change in dB level, whereas the existing diabetic sensing antenna measures the diabetic level based on resonance frequency. The resonance-frequency-based diabetic measurement shows inaccurate results. The HI antenna senses pancreas radiation effectively because of the shape and size of its slot, which covers the pancreas region of the human body without generating noise due to the crumbling effect during pancreas dielectric radiation acquisition. The proposed HI-shaped antenna is mounted in different parts of the human body, such as the hand, finger, stomach, and pancreas, for measuring fluctuating diabetes. Based on the experimental results of the proposed HI-shaped antenna, the pancreas is in an optimal location among the various parts of the body. The proposed HI-shaped antenna-based dielectric signal statical values were correlated with diabetic laboratory values for prediction of the diabetic value. The proposed antenna measures the fluctuation in diabetes with 85% accuracy

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“…As a biological system, the human electromagnetic radiation is varying in accordance with health and activity of the body [6,7]. Furthermore, previous studies have shown human body has a different characteristic of electromagnetic radiation between gender [8,9] and significant results also have been found for stroke and non-stroke participants using electromagnetic radiation from human [10]. In this study, a new technique that could be used to identify kidney failure by using electromagnetic radiation of the human body is proposed.…”

Section: Human Electromagnetic Radiationmentioning

confidence: 99%

Investigation of Human Electromagnetic Radiation Characteristic For Kidney Disease Patients

Jalil

Shamsuddin

Aris

et al. 2018

IJET

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The human body is shown to have their own radiation that emits at certain frequencies into the space surround the body. The purpose of this paper is to investigate the characteristic of human electromagnetic radiation among kidney disease patients and non-kidney disease participants. The body radiation frequencies are measured using body radiation wave detector at twenty-two points of the human body. The properties of human electromagnetic radiation are evaluated using statistical analysis of dependent t-test of Wilcoxon Signed Rank test and independent t-test of Mann-Whitney U test. Significant results with the Sig. value below 0.05 are shown in lower body, torso, chakra, arm and upper body, thus indicates the characteristic differences of human electromagnetic radiation frequency between kidney disease patients and non-kidney disease participants.

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Retracted: Human body radiation wave analysis on the human torso

Cited by 8 publications

References 26 publications

Segmentation of the human body based on frequency of human electromagnetic radiation

Segmentation of the human body based on frequency of human electromagnetic radiation

HI-Shaped Antenna for Non-Invasive Diabetes Measurement and Monitor Fluctuating Diabetes

Investigation of Human Electromagnetic Radiation Characteristic For Kidney Disease Patients

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