A Technique to Enhance Two-Node Methods as Accurate as Multi-Node Methods: A Case for Human Body Temperature Measurements

A human being is categorized as a homoeothermic creature. His stable temperature is controlled using thermoregulation. Hence, his representative temperature is not objectively measured using the one-node method. Meanwhile, multi-node methods are more accurate but inefficient. This study proposed a technique to condense the multi-node (multi-point) method into the minimum number (two-node). This study was a continuation of the author's preliminary study. The human body temperature data for the preliminary study was also reused to make them more manageable for comparison with the preliminary study and to reduce sampling errors. The preliminary study used a 16-node method comprising one node for the core and 15 for skin 1. A (bridge of the nose), 2. B (upper cheek), 3. C (chest), 4. D (upper arm), 5. E (front waist.), 6. F (lower arm), 7. G (hand), 8. L (nape of the neck), 9. M (shoulder blade), 10. N (back waist), 11. H (quadriceps), 12. P (hamstring), 13. J (shinbone), 14. Q (calf), & 15. K (feet). Based on the analysis, the two-node method for this case was the node for the core (ear canal) and upper arm. These two methods were then compared using two-way ANOVA (Analysis of Variance) with Repetition. The result showed no significant difference between the 16-node in the previous study and the condensed multi-node (two-node) method in this study. However, further study should be conducted to condense other multi-node methods, especially two or three-dimensional temperature measurement methods, into the two-node method.

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Publication Details

Journal
International Journal on Advanced Science Engineering and Information Technology
Published
2025-04-27
DOI
https://doi.org/10.18517/ijaseit.15.2.19453
Primary Topic
Infrared Thermography in Medicine
Type
article
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article

A Technique to Enhance Two-Node Methods as Accurate as Multi-Node Methods: A Case for Human Body Temperature Measurements

Mahmudi Mahmudi, Bernadus H. Sirenden, Dadang Rustandi, Siddiq Wahyu Hidayat et al.
International Journal on Advanced Science Engineering and Information Technology
Infrared Thermography in Medicine
article

A Technique to Enhance Two-Node Methods as Accurate as Multi-Node Methods: A Case for Human Body Temperature Measurements

Mahmudi Mahmudi, Bernadus H. Sirenden, Dadang Rustandi, Siddiq Wahyu Hidayat, Tatik Maftukhah, Sensus Wijonarko, Purwowibowo, Jalu A. Prakosa
article en

Abstract

A human being is categorized as a homoeothermic creature. His stable temperature is controlled using thermoregulation. Hence, his representative temperature is not objectively measured using the one-node method. Meanwhile, multi-node methods are more accurate but inefficient. This study proposed a technique to condense the multi-node (multi-point) method into the minimum number (two-node). This study was a continuation of the author's preliminary study. The human body temperature data for the preliminary study was also reused to make them more manageable for comparison with the preliminary study and to reduce sampling errors. The preliminary study used a 16-node method comprising one node for the core and 15 for skin 1. A (bridge of the nose), 2. B (upper cheek), 3. C (chest), 4. D (upper arm), 5. E (front waist.), 6. F (lower arm), 7. G (hand), 8. L (nape of the neck), 9. M (shoulder blade), 10. N (back waist), 11. H (quadriceps), 12. P (hamstring), 13. J (shinbone), 14. Q (calf), & 15. K (feet). Based on the analysis, the two-node method for this case was the node for the core (ear canal) and upper arm. These two methods were then compared using two-way ANOVA (Analysis of Variance) with Repetition. The result showed no significant difference between the 16-node in the previous study and the condensed multi-node (two-node) method in this study. However, further study should be conducted to condense other multi-node methods, especially two or three-dimensional temperature measurement methods, into the two-node method.

International Journal on Advanced Science Engineering and Information TechnologyVol. 15(2)
Openalex Percentile: Top 85%
Infrared Thermography in Medicine
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