In this study, a new HMS (Health Monitoring System) device is developed for diabetic patient. This device mainly
consists of I) 3D blood vessel searching unit and II) automatic blood glucose measurement (ABGM) unit. This device
has features such as 1)3D blood vessel location search 2) laptop type, 3) puncturing a blood vessel by using a minimally
invasive micro-needle, 4) very little blood sampling (10μl), and 5) automatic blood extraction and blood glucose
measurement. In this study, ABGM unit is described in detail. It employs a syringe type's blood extraction mechanism
because of its high accuracy. And it consists of the syringe component and the driving component. The syringe
component consists of a syringe itself, a piston, a magnet, a ratchet and a micro-needle whose inner diameter is about
80μm. And the syringe component is disposable. The driving component consists of body parts, a linear stepping motor,
a glucose enzyme sensor and a slider for accurate positioning control. The driving component has the all-in-one
mechanism with a glucose enzyme sensor for compact size and stable blood transfer. On designing, required thrust force
to drive the slider is designed to be greater than the value of the blood extraction force. Further, only one linear stepping
motor is employed for blood extraction and transportation processes. The experimental result showed more than 80% of
volume ratio under the piston speed 2.4mm/s. Further, the blood glucose was measured successfully by using the
prototype unit. Finally, the availability of our ABGM unit was confirmed.
Health monitoring system (HMS) and drug delivery system (DDS) require accurate puncture by needle for automatic
blood sampling. In this study, we develop a miniature and high accurate automatic 3D blood vessel searching system.
The size of detecting system is 40x25x10 mm. Our searching system use Near-Infrared (NIR) LEDs, CMOS camera
modules and image processing units. We employ the stereo method for searching system to determine 3D blood vessel
location. Blood vessel visualization system adopts hemoglobin's absorption characterization of NIR light. NIR LED is
set behind the finger and it irradiates Near Infrared light for the finger. CMOS camera modules are set in front of the
finger and it captures clear blood vessel images. Two dimensional location of the blood vessel is detected by luminance
distribution of the image and its depth is calculated by the stereo method. 3D blood vessel location is automatically
detected by our image processing system. To examine the accuracy of our detecting system, we carried out experiments
using finger phantoms with blood vessel diameters, 0.5, 0.75, 1.0mm, at the depths, 0.5 ~ 2.0 mm, under the artificial
tissue surface. Experimental results of depth obtained by our detecting system showed good agreements with given
depths, and the availability of this system is confirmed.
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