This document proposes improving non-invasive blood analysis by measuring optical properties like absorption and fluorescence outside the typical "medical spectral window" of 600-1000nm. It describes using the thumb webbing instead of the finger to increase light transmission and signal. Experimental results found absorption was amplified 13-30 times in the webbing versus finger at 569nm. Further research is suggested to correlate medical conditions to optical properties at different wavelengths and develop statistical models.

1. Improving Non-Invasive Blood
Analysis by Expanding the Medical
Spectral Window
Katherine Paseman

2. Goal: Detect Medical Problems by non-
Invasively measuring Optical
Properties of Blood
Optical Blood Medical Example
Property Diagnostic Problem
(Symptom)
Fluorescence Zinc Protoporphyrin Iron Deficient
(ZPP) Concentration Anemia, Lead
Poisoning
Absorption Hemoglobin Anemia
Concentration
Scattering Hematocrit Low- Blood loss,
High - Dehydration

3. Beer-Lambert Law
 Optical approaches leverage the Beer-Lambert
law which uses 3 variables to model light input
into (Ii) and light output from (Io) a sample.
 Io = Ii 10 –2.303 ε(λ) c t /(64,500 g Hb/mole)
 t – Sample thickness – cm
 c – concentration of absorbent - g/liter (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.
– Blood’s ε(λ) is very large for λ < 600 nm
– This is why a flashlight shone through the hand only
transmits red light.

4. Prior Work: Pulse Oximetry
 A Pulse Oximeter non-
invasively determines Pulse
and Blood Oxygenation using
differential light absorption.
 Photodiode measures light
intensity of Red (660nm) &
Infrared (940 nm) LEDs shone
through Finger during
systole/diastole.
 Blood Oxygenation is a
function of the “Ratio of
Ratios” of Light Intensities at
these points.
Webster, JG. Design of Pulse Oximeters

5. Prior Work: Masimo pt 1
Most non-invasive blood λ Hb02 ε(λ) Hb ε(λ)
nm cm-1/M cm-1/M
sensors (e,g,
Masimo[US7377794] ) 610 1506 9443.6
extend the pulse
620 942 6509.6
oximeter’s differential
630 610 5148.8
absorption trick. Like the
660 319.6 3226.56
pulse oximeter, they
target the finger using 700 290 1794.28
wavelengths above 600 730 390 1102.2
nm, the so called ”Medical 805 844 730.28
Spectral Window”, to 905 1209.2 769.8
collect enough light.

6. Prior Work: Masimo pt 2
Medical
Spectral
Window

7. Prior Work: Samsung pt 1
Samsung’s work [Yoon et. al. λ Hb02 ε(λ) Hb ε(λ)
2005] specifies “Three cm-1/M cm-1/M
variables of R569,805,
R569,940, and R569,975 569 44496 45072
were used for calibration and
prediction models.”
producing this comment by 660 319.6 3226.56
one author:
G Yoon <gyoon@snut.ac.kr> - 805 844 730.28
569nm is highly absorbing in
tissue and, at the same time, 940 1214 693.44
569nm intensity is small
compared with that at longer
wavelength. That is why you 975 1144 389.288
may not get good signal. We
used a custom-made LED array
that has several chips of 569nm
to increase intensity.

8. Prior Work: Samsung pt 2
569 nm lies
outside the
Medical
Spectral
Window
Medical
Spectral
Window

9. Our Research: Target Thumb Webbing
for Absorption instead of Finger
 Our hypothesis: We can
extend the medical spectral
window by offsetting the
increase in extinction
coefficient at λ< 600 nm with a
decrease in sample thickness
 [Sabrina Paseman 2008] did
this by targeting the thumb
webbing for fluorescence
measurements.
 We do this for absorption.
 This allows us to get better
absorption measurements by
increasing signal and so
decreasing noise based error.
 It also allows us to detect
additional sources of error.

10. The Apparatus
 We created an adjustable width clip
that fits either the subject’s 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 a
spectrometer.
 This allows us to double check the
LED’s wavelength, determine LED
intensity, see if there are any LED
artifacts, and observe any swamping
or fluorescing effects.
 The LEDs and spectrometer were
controlled by by an Arduino
microcontroller.

11. Experimental Approach 1
 Clamp is adjusted to fit the subject’s index finger.
Subject removes finger so distance between
spectrometer and LED can be measured with a
micrometer.
 Thumb webbing is placed over the entire LED
 Spectrometer auto-adjusts the integration time to a
full scale reading and the data is collected.
 Subject removes thumb webbing and places index
finger over LED. Data is collected with the same
integration time and plotted on the same axis for
comparison

12. Data: 569 nm Subject 1
Thumb webbing
Index Finger
54054.5 counts
Integration Time: 404.05 ms
Width: 0.7175 cm
4131.5 counts

13. Findings
 Transmission increases 13 fold
 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 absorption
 This method limited the quality of the readings we
could take from subjects with darker skin

14. Experimental Approach 2
 Hold led underneath the thumb webbing and
the spectrometer on the other side.
 Re-integrate the spectrometer and record the
integration time. Capture the graph.
 For data analysis, find the ratio between the
ratios of the peak counts at 569nm and the
integration time Counts thumb webbing
Integration timethumb webbing
Absorption Amplification =
Countsindex finger
Integration timeindex finger

15. Data: 569 nm Subject 1 Finger
Index Finger
Integration Time: 3097.90 ms
13640.500 counts

16. Data: 569 nm Subject 1 Webbing
Thumb Webbing
Integration Time: 99.70 ms
32847.801 counts

17. Data: 569 nm Subject 2 Finger
Index Finger
Integration Time: 1736.15 ms
61598.500 counts

18. Data: 569 nm Subject 2 Webbing
Thumb Webbing
60849.000 counts Integration Time: 208.91 ms

19. Data: 569 nm Subject 3 Finger
Index Finger
60534.000 counts Integration Time: 3808.11 ms

20. Data: 569 nm Subject 3 Webbing
Thumb Webbing
55602.750 counts Integration Time: 114.73 ms

21. Data: 569 nm
Subject Countstw Integrationtw Countsif Integrationif Ampli-
(ms) (ms) fication
1 32847.801 99.70 13640.500 3097.90 74.825
2 60849.000 208.91 61598.500 1736.15 8.209
3 55602.750 114.73 60534.000 3808.11 30.488

22. Conclusions
 Transmission increases across the board but
varies from subject to subject
 Our suspicions about the artifact are
confirmed by our second set up

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

24. 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.
 “Tabulated Molar Extinction Coefficient for Hemoglobin in
Water”
http://omlc.ogi.edu/spectra/hemoglobin/summary.html