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Biomedical instument “Create” Bioinstumentation

Activity Tracker for Stroke Rehabilitation Device Kaelin Martin, Rafeal Cases Jr., Dr.Peter Lum, Department of Biomedical Engineering

The 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-plane

The 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.

Bioinstumentation Guidelines

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:

Points given0123
Element #
1)No block diagram.Two or more blocks/labels are missing.One block is missing.Block diagram is complete.
2)No labels or only very generic labels of components. Lack of detail.Two errors or omissions prevent strong and clear signal from flowing from biosignal to measurand to output.One error or omission in specific components prevents strong and clear signal from flowing from biosignal to measurand to output.Instrument components work together, signal flows correctly.
3)No rationale provided or only very general and generic information provided.Three or four mistakes in the justification of use of instrumentation componentsOne or two mistakes in the justification of use of instrumentation components.Each instrumentation component is well explained.
4)No equations are provided, and no characteristics are given justifiable numeric values.Two characteristics and/or two equations to describe them are missing.One of the three characteristics is missing. One equation is missing.Range, resolution, and sensor sensitivity are defined and correct. Equations are given.
5)No ranges of values discussed, and false readings not discussed.Healthy and unhealthy ranges are provided but with no explanation. False readings mentioned but with limited explanation.Healthy and unhealthy ranges of output are defined. No discussion of errors (false readings), or only very general discussion without details.Healthy and unhealthy ranges of output are defined. The rates of false positives and false negatives are estimated, justified, and ways to reduce them are discussed.
6)Omitted.No discussion of resources and timeline, only general features of team discussed.Some efforts made to translate to senior design, but team members are not discussed in detail.Translation to senior design project (limited time and funds) is discussed. Essential features of the best team of students and faculty + outsiders is discussed.



Last Updated on May 1, 2019

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