4. The micro-sensors in MEMS may be based on different sensing principles;
• Piezoresistive Sensing: Piezoresistive sensing uses the resistors varying with the
external pressing to measure such physical parameters as pressure, force, etc.
• Capacitive Sensing: Capacitive sensing uses the diaphragm deformation–induced
capacitance change to convert the information of pressure, force, etc., into the
electrical signals such as changes of oscillation frequency, charge, and voltages.
• Piezoelectric Sensing: Piezoelectric sensing is based on the piezoelectric effect of
piezoelectric materials. The electrical charge change is generated when a force is
applied across the face of a piezoelectric film.
• Resonant Sensing: Resonant sensing principle is based on the fact that the
resonant frequency of a resonator varies with the strain (stress) generated in the
resonator structure. By picking up the natural frequency variation of the
resonator, the physical information that caused the strain will be sensed.
5. MEMS: REVOLUTIONIZING THE PERSONAL
HEALTHCARE SCENARIO.
Bulky and centralized hospital equipments
now have a new substitute – handheld
personalized healthcare equipments. MEMS is
all set to give healthcare a new definition.
Some typical applications of MEMS in
Healthcare are pedometer, blood pressure
monitors, Glucometers, hearing aids etc.
MEMS can also be used in complex
procedures such as DNA Analysis.
7. As we can see, the peaks in the chart clearly approximate the user’s steps.
Unfortunately, the sensor is far from ideal and produces quite a bit of noise. This
can be verified from the data, collected by the sensor of a device that’s just sitting
on a desk.
As an example, let’s look at the acceleration data from the X-axis generated by
walking:
8. Obviously, the above method is not perfect. The quality of their results will
depend on a number of variables, both well known and less predictable. Even
the device’s position on the user’s person will affect the results.
Each MEMS sensor returns data, measured along all the three orthogonal axes.
Since it doesn’t know in advance the device’s physical orientation, it needs to
process the data from all three axes. The most common method for processing
the results is to find the average of the data of all the three axes. This method
yields decent results as can be seen from the graph below:
acceleration
time
10. Bio-MEMS as Miniaturized Biosensors: Biosensors are devices that consist of a
biological recognition system, called the bio-receptor, and a transducer. The interaction
of the analyte with the bio-receptor causes an effect that the transducer can convert
into a measurement, such as an electrical signal. The most common bio-receptors used
are based on antibody-antigen interactions, enzymatic interactions, cellular
interactions, etc.
Bio-MEMS for diagnostics: Bio-MEMS have been developed to take saliva, blood, or
urine samples and in an integrated approach, perform sample preconditioning, sample
fractionation, signal amplification, analyte detection, data analysis, and result display.
Bio-MEMS in tissue engineering: Bio-MEMS have been extensively used in tissue
engineering to provide precise control over the factors that optimize the culture and
growth of cells and tissues.
12. Advantages of LOCs:
Low fluid volumes consumption which means less waste, lower reagents
costs and less required sample volumes for diagnostics.
Faster analysis and response times due to short diffusion distances, fast
heating, high surface to volume ratios and small heat capacities.
Better process control because of a faster response of the system.
Compactness of the systems due to integration of much functionality and
small volumes.
Lower fabrication costs, allowing cost-effective disposable chips, fabricated
in mass production.
The most common examples of LOCs, used in personal healthcare include blood
glucose meters, blood cell count detectors, infectious antigen detectors, etc.
Because of faster response times of LOCs, timely diagnosis of abnormalities in
the human body are possible, thus providing efficient treatment of the
condition.
13. FUTURE ASPECTS:
• MEMS has opened many new avenues for healthcare. MEMS has made it
possible to monitor the patients in real time without admitting them in the
Hospitals.
• With the advancement of connectivity and software, MEMS have also paved
the way for collection, transmission, and processing of health related data of an
individual.
• Depending on the nature of the data collected over a considerable period of
time, it has been possible to diagnose any bodily abnormalities at an early
stage.
• The advancement of semiconductor fabrication industry has played an
important factor in reducing the cost of MEMS. As a result, we can expect more
use of MEMS in providing cost effective treatment to patients, especially for
those residing in developing countries.
14. REFERENCES:
• Medical Electronics design: MEMS in healthcare.
• “Counting Steps with MEMS” by Dmitry Elyuseev.
• “MEMS for Biomedical Application” by Shekhar Bhansali.
• www.interacademies.net.
• www.memx.com.
• www.st.com.
• www.analog.com.
• www.Wikipedia.org.