Sensor and range-of-motion lab
Collect EMG or range-of-motion data and record results in a data table.
Raw data table with trial number, measured value (mV or degrees, with units), time, and fatigue-onset trial clearly marked.
- 1Do thisCollect EMG or range-of-motion data and record results in a data table.
- 2Use this resource
- 3Submit thisData table: Raw data table with trial number, measured value (mV or degrees, with units), time, and fatigue-onset trial clearly marked.
- 4Submit it here
- 1CMSD website. Go to clevelandmetroschools.org and click the Clever button.
- 2Clever. Clever opens. Sign in if it asks.
- 3Microsoft (district) login. Use your district Microsoft account (the one for school).
- 4Schoology. Open Schoology, then your class, then Assignments, and find the file named below.
The file to submit is named: Human Anatomy & Physiology (Human Body Systems) › Unit 1.2 Motion Data: Muscle strength, fatigue, physiology sensors, range of motion, joint testing, kinesiology taping. › Data tableOpen Schoology
Argument: disagreeing well, and when opinion becomes fact
How do we argue productively when we disagree, and when does a claim become accepted as fact?
An argument is not a fight. It is two or more people testing claims against evidence to get closer to the truth. The best disagreements aim at the strongest version of the other side (steelman it), refute the actual reasoning, and stay about the idea, not the person.
A sound argument and a clash of opinions are different things. Opinions can simply differ and both stand. A scientific argument is settled by evidence: the side with stronger, more reliable evidence and better reasoning should win, and everyone should be willing to update.
So when does an opinion become a fact? In science, a claim becomes accepted not because enough people like it, but when independent evidence keeps supporting it and repeated attempts to disprove it fail. That is consensus, and it is provisional: it holds until better evidence changes it. Truth is not a vote, but agreement among many careful, independent investigations is the best signal we have.
- • Steelmans: it takes on the strongest version of the other side.
- • Targets reasoning and evidence, never the person.
- • Is settled by evidence, not by who is louder or more popular.
- • Stays open: the participants will change their minds if the evidence does.
- • A claim earns the label “fact” through repeated, independent evidence, not a popularity vote.
- • Even strong consensus stays open to revision if better evidence appears.
Take a claim from this course that people might dispute. Write the strongest argument for it and the strongest against it, then say which the evidence supports and what would change your mind.
- CER:
- Claim, Evidence, Reasoning — make a claim, back it with evidence, explain your reasoning.
- SOP:
- Standard Operating Procedure — the exact steps to follow (especially in a lab).
- Tracker:
- Your PLTW progress log where you record completed evidence.
- myPLTW:
- The PLTW course site where you do the online activities — you open it through Schoology.
Minute-by-minute · 80-minute block
💡 Big idea: Collecting accurate physiological data requires correct sensor setup, consistent trial protocol, and careful unit recording before analysis can begin.
- 0-10Safety and sensor setup; zero baseline and practice trial
- 10-20Protocol review: number of trials, rest intervals, recording format
- 20-50Run trials; record force or angle and time in data table
- 50-62Mark fatigue-onset trial; add qualitative observations column
- 62-75Peer-check: does each row have units? Is fatigue-onset trial marked?
- 75-80Submit raw data table; clean up sensors
- • Today is a sensor lab. You are collecting real data from real muscles.
- • The protocol is simple: set up, zero the sensor, run trials, record everything. But the discipline of recording every trial with units is what makes this science.
- • Your data table today is raw evidence. Do not average or analyze yet. Thursday is for analysis.
- • Mark the trial where you first see a consistent drop. That is your fatigue-onset marker.
- 1Set up the EMG sensor or goniometer and zero the baseline.
- 2Run repeated trials of a grip or joint movement until fatigue appears.
- 3Record force or angle and time for each trial in your data table.
- 4Note the trial where performance clearly dropped.
- 5Submit your raw data table with units and the fatigue-onset trial marked.
- • You can collect clean motion or EMG data with units.
- • You can identify the trial where fatigue begins.
- • A goniometer measures joint angle in degrees; EMG sensors measure muscle electrical activity in millivolts. Both require zeroing before data collection.
- • A data table must include: trial number, measured value (with units), and any qualitative observation (pain, tremor, noticeable fatigue).
- • Identifying the fatigue-onset trial requires looking for a consistent downward trend in force or angle, not a single low value.
Your PLTW work today
Unit 1.2 Motion Data: Muscle strength, fatigue, physiology sensors, range of motion, joint testing, kinesiology taping. · Sensor and range-of-motion lab
Day 3 of this lesson. Open this exact section in myPLTW (reached through Schoology), then do the work below.
Do this: Complete any lab-day check-in or data-collection prompt in Lesson 1.2 Muscles and Motion on myPLTW that corresponds to today's sensor or range-of-motion lab.
Mark the lab task complete after submitting your completed data table.
EMG basics task is done; today the lab task should show complete alongside your data table.
myPLTW completion status plus your submitted data table.
All PLTW activities are completed inside the PLTW course environment — this page only gives direction. Submit producibles on Schoology.
Today's PLTW tracker
Check things off as you work, then submit. This tells Mr. Mendoza how you're doing so he can help the class. It does not replace turning in your producible on Schoology.
Use the code Mr. Mendoza gave you, not your name. Saved on this device.
Unit 1.2 Motion Data: Muscle strength, fatigue, physiology sensors, range of motion, joint testing, kinesiology taping. · Sensor and range-of-motion lab
Complete any lab-day check-in or data-collection prompt in Lesson 1.2 Muscles and Motion on myPLTW that corresponds to today's sensor or range-of-motion lab.
EMG basics task is done; today the lab task should show complete alongside your data table.
This is how Mr. Mendoza sees the class keeping pace with PLTW. Be honest, it only helps if it is accurate.
🎯 Collect EMG or range-of-motion data and record results in a data table.
- Set up the EMG sensor or goniometer and zero the baseline.
- Run repeated trials of a grip or joint movement until fatigue appears.
- Record force or angle and time for each trial in your data table.
- Note the trial where performance clearly dropped.
- Submit your raw data table with units and the fatigue-onset trial marked.
Data table: Raw data table with trial number, measured value (mV or degrees, with units), time, and fatigue-onset trial clearly marked.
Submit on SchoologyUpload by 11:29 PM for full credit.
| Task | Who |
|---|---|
| Set up the EMG sensor or goniometer and zero the baseline. | _______ |
| Run repeated trials of a grip or joint movement until fatigue appears. | _______ |
| Record force or angle and time for each trial in your data table. | _______ |
| Note the trial where performance clearly dropped. | _______ |
| Submit your raw data table with units and the fatigue-onset trial marked. | _______ |
Working solo? Put your own name in "Who" for every row.
- You can collect clean motion or EMG data with units.
- You can identify the trial where fatigue begins.
Resources & readings
Vetted readings and references for this unit. Use them to prepare, to catch up if you were absent, or to go deeper on today's target.
Lab & supplies
- • Confirm no skin allergies to electrode gel or adhesive before applying EMG electrodes.
- • Do not apply electrodes over broken skin, rashes, or open wounds.
- • Stop the trial immediately if a participant reports sharp pain rather than muscle fatigue.
- • Dispose of single-use electrode pads in regular trash; do not reuse.
This unit's vocabulary
Tap the speaker to hear a term. Weekly vocabulary task: add two of these terms to your notebook glossary with a definition and an example in your own words.
WebXam practice
Cumulative WebXam review
A quick mixed-review pulling questions from earlier units plus today, so the WebXam material stays fresh.
Where this leads — careers
What today's skills lead to. These are real health-science careers this course builds toward. Tap one to see, on the US Department of Labor's O*NET site, what the job actually involves, what it pays, and how fast it is growing.
What to do if you were absent
Use the linked simulation or the teacher's posted EMG dataset to record trials of a fatiguing movement, build a data table with units, and mark where performance dropped, then submit it.
PhET SimulationsThen submit your Data table on Schoology.
Class still runs. Complete the online activity above (it's self-guided). Need the concept taught without a teacher? Use this authoritative explainer:
Khan Academy: Joints and Movement- CompleteEvery required part of the artifact is present, nothing left blank.
- AccurateThe science and the data are correct and match the evidence.
- Scientific reasoningYou explain your claim with evidence and reasoning (CER), not just an answer.
- Professional communicationClear, organized, labeled, and written the way a clinician or scientist would.
- SubmittedTurned in the right way (Schoology for routine work) and confirmed.
Drop your Mon, Feb 22, 2027 · Sensor and range-of-motion lab here. Use a clear file name (your initials + project). Routine work still goes to Schoology (via the CMSD portal).
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