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Improving Non-Invasive
   Blood Analysis by
 Expanding the Medical
   Spectral Window
           Katherine Paseman
Background: Detect Medical Problems by
non-Invasively Measuring Optical Properties
of Blood

                       Medical
  Optical Blood                             Example
                     Diagnostic
    Property                                Problem
                     (Symptom)
 Fluorescence     Zinc Protoporphyrin   Iron Deficient
                  (ZPP) Concentration   Anemia, Lead
                                        Poisoning
 Scattering       Hematocrit            Low- Blood loss,
                                        High - Dehydration

 Absorption/      Hgb Concentration Anemia
 Transmittance    SpO2              Blood Loss
Background: Beer-Lambert Law
 Optical approaches leverage the Beer-Lambert law which models the
 intensity of light entering (Ii) and exiting (Io) a sample using 3
 variables,
         Io = Ii × 10 –2.303 ε(λ) c t /(64,500 g Hb/mole)
     t – Sample thickness – cm
     c – Concentration of absorbent - g/liter
      Note: A typical value of c for whole blood is 150 g Hb/liter.

     ε(λ) – extinction coefficient of absorbent, which is a function of the
      light’s wavelength.
      Note: Blood’s ε(λ) is very large for λ < 600 nm (red) so it absorbs a lot of light
      below this wavelength. This is why a flashlight (white light) shone through your
      finger only transmits red light.
Example: Pulse Oximetry
• A Pulse Oximeter non-invasively
determines pulse and blood
oxygenation with photodiodes using
differential light absorption
• Blood Oxygenation is a
function of the “Ratio of Ratios”
of Light Intensities at these
points.

• A Photodiode measures light
intensity of Red (660nm) &
Infrared (940 nm) LEDs shone
through a finger during
systole/diastole.
   Webster, JG. Design of Pulse Oximeters
Problem we address: Samsung
  Hgb/Hct Monitor has >8%
  error
Samsung’s work states “Three variables
  of R569,805, R569,940, and
  R569,975 were used for calibration             Hb02 ε(λ)        Hb ε(λ)
                                           λ
  and prediction models.” producing              cm-1/M           cm-1/M
  this comment by one author:              569 44496              45072

                                          660 319.6                3226.56
G Yoon <gyoon@snut.ac.kr> - “569nm
  is highly absorbing in tissue and, at   805 844                  730.28
  the same time, 569nm intensity is       940 1214                 693.44
  small compared with that at longer
                                          975 1144                 389.288
  wavelength. That is why you may not
  get good signal. We used a custom- Samsung reported >8% error for
  made LED array that has several chips Hemoglobin [Jeong et. Al. 2002] and
  of 569nm to increase intensity.”      Hematocrit [Yoon et. al. 2005].
Problem we address: Samsung
Hgb/Hct Monitor has >8%
error

                          Note:
                          569 nm lies
                          outside the
                           Medical
                           Spectral
                           Window




                           Medical
                           Spectral
                           Window
                        600 to 1000 nm
Our Hypothesis: Targeting Thumb
Webbing vs. Index Finger Mitigates
Measurement Error
   The Beer-Lambert Law
    explains that decreasing
    sample thickness should
    result in an increase in
    transmittance.

   This allows us to get better
    absorption measurements
       • Increases the signal
       which decreases noise
       based error.
       • Allows us to detect
       additional sources of
       error.
The Apparatus
   We created an adjustable clip
    that fits either the index finger or
    thumb webbing.
   One end of the clip holds the
    same 5-LED package used by
    Samsung and the other holds a
    fiber optic cable which connects
    to an Avantes AvaSpec-2048
    spectrometer.
   The both are controlled by an
    Arduino microcontroller.
   This allows us to double check
    the LED’s wavelength, determine
    LED intensity, see if there are
    any LED artifacts (emissions at
    wavelengths besides the primary
    wavelength), and observe any
    swamping or fluorescing effects.
Experiment 1: Approach
   A clamp is adjusted to fit the subject’s index finger.
   The subject removes their finger so that the spectrometer/LED
    distance can be measured with a micrometer.
   The thumb webbing is placed over the entire LED.
   The spectrometer auto-adjusts the integration time to a full scale
    reading and the data is collected.
   The subject removes their thumb webbing and places their index
    finger over the LED. The data is collected with the same integration
    time and plotted on the same axis for comparison.
Experiment 1: Data
569 nm Subject 1

                              Thumb webbing
                              Index Finger
        54054.5 counts

                            Integration Time: 404.05 ms


                            Width: 0.7175 cm




            4131.5 counts
Experiment 1: Findings
   General: Transmission increased 13 fold.

   Artifacts: Samsung’s LED chip has an artifact at around 875nm
    when the 569nm LED is lit. If Samsung’s device uses a photodiode
    to collect light, especially at low intensities, much of the collected
    light would come from the artifact rather than the 569nm peak.

   Race: This method limited the quality of the readings we could take
    from subjects with darker skin.

   Age: Young people have smaller thumb webbing than older people.
Experiment 2: Approach
   Hold LED underneath the thumb webbing and the spectrometer on
    the other side.
   Let the spectrometer auto-integrate and capture the graph.
   For data analysis, find the ratio between the ratios of the peak
    counts at 569nm and the integration time.




                                    (   Countsthumb webbing
                                        Integration timethumb webbing   )
     Absorption Amplification =

                                    (                                   )
                                        Countsindex finger
                                        Integration timeindex finger
Data: 569 nm Subject 1
Finger
                                                                     Integration Time: 3097.90 ms

                     50000
                                                                             Index Finger
                                    Amplification               Edge of MSW
                     40000          outside MSW
                                                                                     Artifact
Scope (ADC Counts)




                     30000                                                           Amplification

                     20000
                                                          13640.500 counts
                     10000

Noise
                         0
                              400         500       600        700          800     900      1000
                     -10000
                                                          Wavelength (nm)
Data: 569 nm Subject 2
Finger           Integration Time: 1736.15 ms

                      70000
                                                                         Index Finger
                      60000
 Scope (ADC Counts)




                      50000

                      40000

                      30000
                                                    33273.000 counts
                      20000

                      10000

                           0
                               400   500   600        700          800       900        1000
                      -10000
                                                 Wavelength (nm)
Data: 569 nm Subject 3
Finger
                                                              Integration Time: 3808.11 ms

                     70000                                        Index Finger

                     60000
                                          60534.000 counts
                     50000
Scope (ADC Counts)




                     40000

                     30000

                     20000

                     10000

                          0
                              400   500   600         700         800       900      1000
                     -10000
                                                Wavelength (nm)
Data: 569 nm Subject 1
Webbing
                                                                           Integration Time: 99.70 ms
                     35000                                                          Thumb Webbing
                                   Amplification
                                   outside MSW      32847.801 counts
                     30000

                     25000
Scope (ADC Counts)




                     20000
                                                                                           Artifact Size
                                   Less Noise               Edge of MSW
                     15000                                                                 Reduction

                     10000

                      5000

                         0
                             400          500      600        700             800        900        1000
                     -5000
                                                         Wavelength (nm)
Data: 569 nm Subject 2
Webbing
                                                            Integration Time: 208.91 ms

                     70000                                         Thumb Webbing

                     60000
                                           60849.000 counts
Scope (ADC Counts)




                     50000

                     40000

                     30000

                     20000

                     10000

                         0
                              400   500   600         700         800     900      1000
                     -10000
                                                Wavelength (nm)
Data: 569 nm Subject 3
Webbing          Integration Time: 114.73 ms

                     60000
                                                                        Thumb Webbing
                                          55602.750 counts
                     50000


                     40000
Scope (ADC Counts)




                     30000


                     20000


                     10000


                         0
                              400   500   600        700          800         900       1000
                     -10000
                                                Wavelength (nm)
Experiment 2: Data
Summary 569 nm

Subject Scopetw      Integrationtw Scopeif      Integrationif Ampli-
        (ADC Counts) (ms)          (ADC Counts) (ms)          fication
1       32847.801      99.70           13640.500   3097.90     74.825
2       60849.000      208.91          33273.000   1736.15     15.198
3       55602.750      114.73          60534.000   3808.11     30.488


      Subject1: 58 years old - light skinned
      Subject2: 52 years old - dark skinned
      Subject3: 16 years old - light skinned
Experiment 2: Findings
 The signal is less noisy going through the thumb
   webbing versus the finger
 Amplification through thumb webbing is significantly
   better, but the exact ratio varies from subject to
   subject.
 A spike at ~610 nm for all the finger readings could
   either be an artifact or simply the edge of the medical
   spectral window
 “Artifact Amplification” was apparent in this
   experiment as well
Key Finding:
“Artifact Amplification”
Why does the artifact size increase?
   Blood is a low pass filter, attenuating small λ (high frequencies)
    more than large λ.

   LED Artifacts (usually) appear “above” (at a larger λ) the primary
    emission λ.

   If the LED’s primary λ is below 600 nm and the artifact is above, the
    artifact will appear differentially amplified.

   This amplification is a key consideration when designing with LEDs
    that have this characteristic.
Conclusions
1.   Our hypothesis is confirmed: transmission through thumb
     webbing is better.1

2.    “Artifact Amplification” was confirmed by both
     experiments and will be a key design consideration going
     forward.2

3.   Low readings from people with darker skin in the first
     experiment and smaller thumb webbing for younger
     subjects indicate that probe design will be a key issue going
     forward.


      1,2
            Both phenomena would partially explain
              Samsung’s error numbers.
Further Research
   See if there is a statistically significant difference between the
    light absorption of systolic and diastolic blood at 569, 660, 805,
    940 and 975 nm.
   Correlate more medical problems to absorption differentials
    and fluorescent phenomena.
     See if there is a statistically significant difference between
      the fluorescence of systolic and diastolic blood excited at 425
      nm.
   Collect data for more subjects with varying melanin contents
    and ages
Further Research:
Fluorescence




    59 yr old male
References
   [Sabrina Paseman 2008] Paseman, Sabrina. The
    Ferrometer: A Device to Detect Iron Deficient Anemia via Non-
    Invasive Optical Measurement of Zinc Protoporphyrin. Issue
    brief no. SO499. Los Angeles: University of Southern California,
    2008. PDF file.
   [US7377794] "Multiple Wavelength Sensor Interconnect” – p57
    lists Masimo’s wavelengths
   [Yoon et. Al. 2005] Yoon, Gilwon, Ph.D, et al. "Development of a
    Compact Home Health Monitor for Telemedicine."
    TELEMEDICINE AND e-HEALTH 11.6 (2005): 660-67. PDF File.
   [Jeong et. Al. 2002] Jeong, Kye Jin, Su-Jin Kim, and
    Kun Kook Park. "Noninvasive Total Hemoglobin
    Measurement." Journal of Biomedical Optics 7.1
    (2002): 45-50. PDF file.
   “Tabulated Molar Extinction Coefficient for Hemoglobin in
    Water” http://omlc.ogi.edu/spectra/hemoglobin/summary.html

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Expanding the medical spectral window v8

  • 1. Improving Non-Invasive Blood Analysis by Expanding the Medical Spectral Window Katherine Paseman
  • 2. Background: Detect Medical Problems by non-Invasively Measuring Optical Properties of Blood Medical Optical Blood Example Diagnostic Property Problem (Symptom) Fluorescence Zinc Protoporphyrin Iron Deficient (ZPP) Concentration Anemia, Lead Poisoning Scattering Hematocrit Low- Blood loss, High - Dehydration Absorption/ Hgb Concentration Anemia Transmittance SpO2 Blood Loss
  • 3. Background: Beer-Lambert Law Optical approaches leverage the Beer-Lambert law which models the intensity of light entering (Ii) and exiting (Io) a sample using 3 variables, Io = Ii × 10 –2.303 ε(λ) c t /(64,500 g Hb/mole)  t – Sample thickness – cm  c – Concentration of absorbent - g/liter Note: A typical value of c for whole blood is 150 g Hb/liter.  ε(λ) – extinction coefficient of absorbent, which is a function of the light’s wavelength. Note: Blood’s ε(λ) is very large for λ < 600 nm (red) so it absorbs a lot of light below this wavelength. This is why a flashlight (white light) shone through your finger only transmits red light.
  • 4. Example: Pulse Oximetry • A Pulse Oximeter non-invasively determines pulse and blood oxygenation with photodiodes using differential light absorption • Blood Oxygenation is a function of the “Ratio of Ratios” of Light Intensities at these points. • A Photodiode measures light intensity of Red (660nm) & Infrared (940 nm) LEDs shone through a finger during systole/diastole. Webster, JG. Design of Pulse Oximeters
  • 5. Problem we address: Samsung Hgb/Hct Monitor has >8% error Samsung’s work states “Three variables of R569,805, R569,940, and R569,975 were used for calibration Hb02 ε(λ) Hb ε(λ) λ and prediction models.” producing cm-1/M cm-1/M this comment by one author: 569 44496 45072 660 319.6 3226.56 G Yoon <gyoon@snut.ac.kr> - “569nm is highly absorbing in tissue and, at 805 844 730.28 the same time, 569nm intensity is 940 1214 693.44 small compared with that at longer 975 1144 389.288 wavelength. That is why you may not get good signal. We used a custom- Samsung reported >8% error for made LED array that has several chips Hemoglobin [Jeong et. Al. 2002] and of 569nm to increase intensity.” Hematocrit [Yoon et. al. 2005].
  • 6. Problem we address: Samsung Hgb/Hct Monitor has >8% error Note: 569 nm lies outside the Medical Spectral Window Medical Spectral Window 600 to 1000 nm
  • 7. Our Hypothesis: Targeting Thumb Webbing vs. Index Finger Mitigates Measurement Error  The Beer-Lambert Law explains that decreasing sample thickness should result in an increase in transmittance.  This allows us to get better absorption measurements • Increases the signal which decreases noise based error. • Allows us to detect additional sources of error.
  • 8. The Apparatus  We created an adjustable clip that fits either the index finger or thumb webbing.  One end of the clip holds the same 5-LED package used by Samsung and the other holds a fiber optic cable which connects to an Avantes AvaSpec-2048 spectrometer.  The both are controlled by an Arduino microcontroller.  This allows us to double check the LED’s wavelength, determine LED intensity, see if there are any LED artifacts (emissions at wavelengths besides the primary wavelength), and observe any swamping or fluorescing effects.
  • 9. Experiment 1: Approach  A clamp is adjusted to fit the subject’s index finger.  The subject removes their finger so that the spectrometer/LED distance can be measured with a micrometer.  The thumb webbing is placed over the entire LED.  The spectrometer auto-adjusts the integration time to a full scale reading and the data is collected.  The subject removes their thumb webbing and places their index finger over the LED. The data is collected with the same integration time and plotted on the same axis for comparison.
  • 10. Experiment 1: Data 569 nm Subject 1 Thumb webbing Index Finger 54054.5 counts Integration Time: 404.05 ms Width: 0.7175 cm 4131.5 counts
  • 11. Experiment 1: Findings  General: Transmission increased 13 fold.  Artifacts: Samsung’s LED chip has an artifact at around 875nm when the 569nm LED is lit. If Samsung’s device uses a photodiode to collect light, especially at low intensities, much of the collected light would come from the artifact rather than the 569nm peak.  Race: This method limited the quality of the readings we could take from subjects with darker skin.  Age: Young people have smaller thumb webbing than older people.
  • 12. Experiment 2: Approach  Hold LED underneath the thumb webbing and the spectrometer on the other side.  Let the spectrometer auto-integrate and capture the graph.  For data analysis, find the ratio between the ratios of the peak counts at 569nm and the integration time. ( Countsthumb webbing Integration timethumb webbing ) Absorption Amplification = ( ) Countsindex finger Integration timeindex finger
  • 13. Data: 569 nm Subject 1 Finger Integration Time: 3097.90 ms 50000 Index Finger Amplification Edge of MSW 40000 outside MSW Artifact Scope (ADC Counts) 30000 Amplification 20000 13640.500 counts 10000 Noise 0 400 500 600 700 800 900 1000 -10000 Wavelength (nm)
  • 14. Data: 569 nm Subject 2 Finger Integration Time: 1736.15 ms 70000 Index Finger 60000 Scope (ADC Counts) 50000 40000 30000 33273.000 counts 20000 10000 0 400 500 600 700 800 900 1000 -10000 Wavelength (nm)
  • 15. Data: 569 nm Subject 3 Finger Integration Time: 3808.11 ms 70000 Index Finger 60000 60534.000 counts 50000 Scope (ADC Counts) 40000 30000 20000 10000 0 400 500 600 700 800 900 1000 -10000 Wavelength (nm)
  • 16. Data: 569 nm Subject 1 Webbing Integration Time: 99.70 ms 35000 Thumb Webbing Amplification outside MSW 32847.801 counts 30000 25000 Scope (ADC Counts) 20000 Artifact Size Less Noise Edge of MSW 15000 Reduction 10000 5000 0 400 500 600 700 800 900 1000 -5000 Wavelength (nm)
  • 17. Data: 569 nm Subject 2 Webbing Integration Time: 208.91 ms 70000 Thumb Webbing 60000 60849.000 counts Scope (ADC Counts) 50000 40000 30000 20000 10000 0 400 500 600 700 800 900 1000 -10000 Wavelength (nm)
  • 18. Data: 569 nm Subject 3 Webbing Integration Time: 114.73 ms 60000 Thumb Webbing 55602.750 counts 50000 40000 Scope (ADC Counts) 30000 20000 10000 0 400 500 600 700 800 900 1000 -10000 Wavelength (nm)
  • 19. Experiment 2: Data Summary 569 nm Subject Scopetw Integrationtw Scopeif Integrationif Ampli- (ADC Counts) (ms) (ADC Counts) (ms) fication 1 32847.801 99.70 13640.500 3097.90 74.825 2 60849.000 208.91 33273.000 1736.15 15.198 3 55602.750 114.73 60534.000 3808.11 30.488 Subject1: 58 years old - light skinned Subject2: 52 years old - dark skinned Subject3: 16 years old - light skinned
  • 20. Experiment 2: Findings The signal is less noisy going through the thumb webbing versus the finger Amplification through thumb webbing is significantly better, but the exact ratio varies from subject to subject. A spike at ~610 nm for all the finger readings could either be an artifact or simply the edge of the medical spectral window “Artifact Amplification” was apparent in this experiment as well
  • 21. Key Finding: “Artifact Amplification” Why does the artifact size increase?  Blood is a low pass filter, attenuating small λ (high frequencies) more than large λ.  LED Artifacts (usually) appear “above” (at a larger λ) the primary emission λ.  If the LED’s primary λ is below 600 nm and the artifact is above, the artifact will appear differentially amplified.  This amplification is a key consideration when designing with LEDs that have this characteristic.
  • 22. Conclusions 1. Our hypothesis is confirmed: transmission through thumb webbing is better.1 2. “Artifact Amplification” was confirmed by both experiments and will be a key design consideration going forward.2 3. Low readings from people with darker skin in the first experiment and smaller thumb webbing for younger subjects indicate that probe design will be a key issue going forward. 1,2 Both phenomena would partially explain Samsung’s error numbers.
  • 23. Further Research  See if there is a statistically significant difference between the light absorption of systolic and diastolic blood at 569, 660, 805, 940 and 975 nm.  Correlate more medical problems to absorption differentials and fluorescent phenomena.  See if there is a statistically significant difference between the fluorescence of systolic and diastolic blood excited at 425 nm.  Collect data for more subjects with varying melanin contents and ages
  • 25. References  [Sabrina Paseman 2008] Paseman, Sabrina. The Ferrometer: A Device to Detect Iron Deficient Anemia via Non- Invasive Optical Measurement of Zinc Protoporphyrin. Issue brief no. SO499. Los Angeles: University of Southern California, 2008. PDF file.  [US7377794] "Multiple Wavelength Sensor Interconnect” – p57 lists Masimo’s wavelengths  [Yoon et. Al. 2005] Yoon, Gilwon, Ph.D, et al. "Development of a Compact Home Health Monitor for Telemedicine." TELEMEDICINE AND e-HEALTH 11.6 (2005): 660-67. PDF File.  [Jeong et. Al. 2002] Jeong, Kye Jin, Su-Jin Kim, and Kun Kook Park. "Noninvasive Total Hemoglobin Measurement." Journal of Biomedical Optics 7.1 (2002): 45-50. PDF file.  “Tabulated Molar Extinction Coefficient for Hemoglobin in Water” http://omlc.ogi.edu/spectra/hemoglobin/summary.html