The Experts below are selected from a list of 25470 Experts worldwide ranked by ideXlab platform

Husin Alatas - One of the best experts on this subject based on the ideXlab platform.

  • non invasive Hemoglobin Blood Level measurement system
    THE 4TH INTERNATIONAL CONFERENCE ON MATHEMATICS AND SCIENCE EDUCATION (ICoMSE) 2020: Innovative Research in Science and Mathematics Education in The D, 2021
    Co-Authors: Ichsan Hardyanto, Sabar Pambudi, Yaya Suyarna, Arga Ardidarma, Ade Kurniawan, Johan Iskandar, Ridwan Siskandar, Renan Prasta Jenie, Husin Alatas
    Abstract:

    A non-invasive system based on the optical scanning method can be used to measure Hemoglobin Blood Level because Hemoglobin has a characteristic of being able to absorb optimally at wavelength 660nm for oxyHemoglobin and 940nm for deoxyHemoglobin. This Hemoglobin Level measuring system uses the reflectance principle. The sensor probe was designed to be used on patients’ fingers, so the sensor reading results were obtained for the reflection of light, which was reflected from patients’ fingers. The used sensor was FD100 that could read wavelength at 350nm until 1100nm. The LEDs used were LEDs with each wavelength 600nm and 940nm. Raspberry Pi 3 microprocessor was used as the brain of this device; this microprocessor functions to regulate the light intensity, sensor reading, data processing, visualization, and data storage. The visual result of Hemoglobin value (g/dl) is obtained. The equation searching was done by comparing the Hemoglobin value to the High-Performance Liquid Chromatography method and sensor reading value. This equation was implemented inside the device, and the test was done to find out the accuracy of the device. Non-invasive Blood Hemoglobin measuring device that has been developed has an accuracy rate of 94.2% with a standard deviation of 4.7.

Ichsan Hardyanto - One of the best experts on this subject based on the ideXlab platform.

  • non invasive Hemoglobin Blood Level measurement system
    THE 4TH INTERNATIONAL CONFERENCE ON MATHEMATICS AND SCIENCE EDUCATION (ICoMSE) 2020: Innovative Research in Science and Mathematics Education in The D, 2021
    Co-Authors: Ichsan Hardyanto, Sabar Pambudi, Yaya Suyarna, Arga Ardidarma, Ade Kurniawan, Johan Iskandar, Ridwan Siskandar, Renan Prasta Jenie, Husin Alatas
    Abstract:

    A non-invasive system based on the optical scanning method can be used to measure Hemoglobin Blood Level because Hemoglobin has a characteristic of being able to absorb optimally at wavelength 660nm for oxyHemoglobin and 940nm for deoxyHemoglobin. This Hemoglobin Level measuring system uses the reflectance principle. The sensor probe was designed to be used on patients’ fingers, so the sensor reading results were obtained for the reflection of light, which was reflected from patients’ fingers. The used sensor was FD100 that could read wavelength at 350nm until 1100nm. The LEDs used were LEDs with each wavelength 600nm and 940nm. Raspberry Pi 3 microprocessor was used as the brain of this device; this microprocessor functions to regulate the light intensity, sensor reading, data processing, visualization, and data storage. The visual result of Hemoglobin value (g/dl) is obtained. The equation searching was done by comparing the Hemoglobin value to the High-Performance Liquid Chromatography method and sensor reading value. This equation was implemented inside the device, and the test was done to find out the accuracy of the device. Non-invasive Blood Hemoglobin measuring device that has been developed has an accuracy rate of 94.2% with a standard deviation of 4.7.

Sabar Pambudi - One of the best experts on this subject based on the ideXlab platform.

  • non invasive Hemoglobin Blood Level measurement system
    THE 4TH INTERNATIONAL CONFERENCE ON MATHEMATICS AND SCIENCE EDUCATION (ICoMSE) 2020: Innovative Research in Science and Mathematics Education in The D, 2021
    Co-Authors: Ichsan Hardyanto, Sabar Pambudi, Yaya Suyarna, Arga Ardidarma, Ade Kurniawan, Johan Iskandar, Ridwan Siskandar, Renan Prasta Jenie, Husin Alatas
    Abstract:

    A non-invasive system based on the optical scanning method can be used to measure Hemoglobin Blood Level because Hemoglobin has a characteristic of being able to absorb optimally at wavelength 660nm for oxyHemoglobin and 940nm for deoxyHemoglobin. This Hemoglobin Level measuring system uses the reflectance principle. The sensor probe was designed to be used on patients’ fingers, so the sensor reading results were obtained for the reflection of light, which was reflected from patients’ fingers. The used sensor was FD100 that could read wavelength at 350nm until 1100nm. The LEDs used were LEDs with each wavelength 600nm and 940nm. Raspberry Pi 3 microprocessor was used as the brain of this device; this microprocessor functions to regulate the light intensity, sensor reading, data processing, visualization, and data storage. The visual result of Hemoglobin value (g/dl) is obtained. The equation searching was done by comparing the Hemoglobin value to the High-Performance Liquid Chromatography method and sensor reading value. This equation was implemented inside the device, and the test was done to find out the accuracy of the device. Non-invasive Blood Hemoglobin measuring device that has been developed has an accuracy rate of 94.2% with a standard deviation of 4.7.

Yaya Suyarna - One of the best experts on this subject based on the ideXlab platform.

  • non invasive Hemoglobin Blood Level measurement system
    THE 4TH INTERNATIONAL CONFERENCE ON MATHEMATICS AND SCIENCE EDUCATION (ICoMSE) 2020: Innovative Research in Science and Mathematics Education in The D, 2021
    Co-Authors: Ichsan Hardyanto, Sabar Pambudi, Yaya Suyarna, Arga Ardidarma, Ade Kurniawan, Johan Iskandar, Ridwan Siskandar, Renan Prasta Jenie, Husin Alatas
    Abstract:

    A non-invasive system based on the optical scanning method can be used to measure Hemoglobin Blood Level because Hemoglobin has a characteristic of being able to absorb optimally at wavelength 660nm for oxyHemoglobin and 940nm for deoxyHemoglobin. This Hemoglobin Level measuring system uses the reflectance principle. The sensor probe was designed to be used on patients’ fingers, so the sensor reading results were obtained for the reflection of light, which was reflected from patients’ fingers. The used sensor was FD100 that could read wavelength at 350nm until 1100nm. The LEDs used were LEDs with each wavelength 600nm and 940nm. Raspberry Pi 3 microprocessor was used as the brain of this device; this microprocessor functions to regulate the light intensity, sensor reading, data processing, visualization, and data storage. The visual result of Hemoglobin value (g/dl) is obtained. The equation searching was done by comparing the Hemoglobin value to the High-Performance Liquid Chromatography method and sensor reading value. This equation was implemented inside the device, and the test was done to find out the accuracy of the device. Non-invasive Blood Hemoglobin measuring device that has been developed has an accuracy rate of 94.2% with a standard deviation of 4.7.

Arga Ardidarma - One of the best experts on this subject based on the ideXlab platform.

  • non invasive Hemoglobin Blood Level measurement system
    THE 4TH INTERNATIONAL CONFERENCE ON MATHEMATICS AND SCIENCE EDUCATION (ICoMSE) 2020: Innovative Research in Science and Mathematics Education in The D, 2021
    Co-Authors: Ichsan Hardyanto, Sabar Pambudi, Yaya Suyarna, Arga Ardidarma, Ade Kurniawan, Johan Iskandar, Ridwan Siskandar, Renan Prasta Jenie, Husin Alatas
    Abstract:

    A non-invasive system based on the optical scanning method can be used to measure Hemoglobin Blood Level because Hemoglobin has a characteristic of being able to absorb optimally at wavelength 660nm for oxyHemoglobin and 940nm for deoxyHemoglobin. This Hemoglobin Level measuring system uses the reflectance principle. The sensor probe was designed to be used on patients’ fingers, so the sensor reading results were obtained for the reflection of light, which was reflected from patients’ fingers. The used sensor was FD100 that could read wavelength at 350nm until 1100nm. The LEDs used were LEDs with each wavelength 600nm and 940nm. Raspberry Pi 3 microprocessor was used as the brain of this device; this microprocessor functions to regulate the light intensity, sensor reading, data processing, visualization, and data storage. The visual result of Hemoglobin value (g/dl) is obtained. The equation searching was done by comparing the Hemoglobin value to the High-Performance Liquid Chromatography method and sensor reading value. This equation was implemented inside the device, and the test was done to find out the accuracy of the device. Non-invasive Blood Hemoglobin measuring device that has been developed has an accuracy rate of 94.2% with a standard deviation of 4.7.