Activity Tracker for Stroke Rehabilitation Device Kaelin Martin, Rafeal Cases Jr., Dr.Peter Lum, Department of Biomedical EngineeringThe scientific methods consist of six steps, ask questions, do background research, hypothesis, conclusion, and result. This help organize the research and make it more accurate.The poster is about (Could Stroke activity be tracked?)Background is to design a device to monitor the hand movement by determining the numbers of flexion and extension (xyz), also measuring the duration of the procedure. This will give the clinics a better idea of the patient process.This the device is used to track movement using the magnetic tracker to measure the proportional representation of the reordered field. It measures the xyz-planeThe hypothesis, this device uses Arduino to record magnetometer reading on SD card by converting the rotation of the metacarpophalangeal Joints (MCP) and proximal interphalangeal Joints.Testing and data analysis using two magnometer to dismiss the Earth’s magnet field also, the algorithm rejects the changes of the magnet field at the sensor.MATLAB have been used to collect data of the different angle positions. However, the accuracy of the magnet and sensor was compared to the potentiometer values.The novel algorithm analyzes a full flexion and extension of the hand and at what speed.In conclusion, the device has been able to measure the movement of the patient hand in the motion of the flexion and extension. Also, by using algorithm have been able to convert the data to the angle rotation.Result, Each patient has its customized algorithm by altering angle change, peak height and distance parameters to record the majority of the movement. also marking the slow, fast and partial movement.
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Design two complete, novel bioinstrumentation systems using biosignals that are relevant to an
important health problem. Novel means not introduced in class and not able to be found on the
internet. Each of your solutions should contain the following elements:
1) a labeled block diagram of a full instrument to acquire the signal, process it, and convert
to a measurand.
2) block diagram must include a sensor, sensor circuit, processing circuitry (active and/or
passive), and output (digital, analog, LED, alarm, etc.).
3) state a reason for each choice of bioinstrumentation element.
4) define signal range, instrument resolution, sensor sensitivity.
5) state guidelines for detecting healthy vs. unhealthy levels of the biosignal. How should a
clinician interpret the measurand?
6) what modifications would be needed to make this a senior design project? What is the
ideal team (student expertise? Faculty expertise? Experts outside the university)?
Answers should be submitted in one clearly labeled word document, with your name and
student ID, a title for each instrument, and responses to questions 1) through 6) clearly
marked as such. The rubric below will be used to grade:
Two or more
One block is
No labels or
generic labels of
Lack of detail.
Two errors or
and clear signal
One error or
and clear signal
provided or only
Three or four
mistakes in the
One or two
mistakes in the
One of the
is missing. One
No ranges of
rates of false
ways to reduce
No discussion of
not discussed in
time and funds)
features of the
best team of
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