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| Micro and Nano Systems |
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| (Faculty Participants:
S.
Bhansali,
L.
An,
V.
Bhetanabotla,
A. Malik,
S.
Samson,
J. Kapat,
S.
Hoath,
R. Smallwood,
M.
Rahman, T.
Weller,
S.
Hariharan,
R. Schlaf ) |
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| We propose to develop, model, test and validate
multiple MEMS based approaches to facilitate data collection from the
skin and facilitating the development of a seamless transfer system
between the MEMS systems and the skin that will enable this exchange. |
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| Click
here for more information |
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| Bio-engineered Interfaces |
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| (Faculty participants:
Hoath, Mac Neil,
Bhansali, Lindsey,
Hilbelink,
Arun Kumar,
Malik) Areas: Skin, Clinical Sciences, Anatomy, MEMS, and Chemistry) |
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| Many biological processes produce physical, electrical,
or chemical alterations that may be monitored by close approximation of
a micro sensor to the surface of the skin. Vital signals of the human
body such as EEG, ECG, and EMG are regularly measured by the placing of
non-invasive electrodes on appropriate parts of the skin. The primary
long-term goal of the project is to understand the underlying phenomena
and dynamics of the human body with the help of skin as the interface.
The more intimate the skin/sensor interface the better the function of
the sensor. Optimizing this interface without compromising the well
being of the organism is a real challenge from both a biological and an
engineering point of view. This group of studies will focus on how to
best design sensors as minimally obtrusive devices and explore methods
to produce a virtual skin model for incorporation into classic
engineering design systems. Our objective is to optimize the capture of
a wide range of signals (electrical activity, thermal conditions, skin
hydration), and to process and analyze this data for correlated with the
physiological state of an individual. |
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| Click
here for more information |
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| Electronics and Information Processing |
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| (Faculty:
S.
Bhansali, D. Hilbelink,
K. Muffly,
N.
Ranganathan,
R. Sankar,
R. Schlaf,
T. Weller,
P.
Wiley) |
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| Our vision is to produce inexpensive sensing devices by
means of sensor integration and electronic miniaturization using MEMS.
These devices will monitor a wide variety of physiological parameters
and will be equipped with significant processing and memory (i.e.,
sensor integration with DSP). They also will provide wireless
communication capabilities where the sensors themselves become nodes in
an ad-hoc network (i.e., sensor integration with RF communication). |
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| Click
here for more information |
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