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Questions and Answers

What was the overall Mean Absolute Percentage Error (MAPE) between lab and watch measurements?

  • 8.1%
  • 5.7% (correct)
  • 10.2%
  • 6.5%
  • How did the Apple Watch perform compared to other wrist-worn devices during resistance exercises?

  • It was inconsistent and produced unreliable data.
  • It was the least accurate device.
  • It showed favorable results for measuring heart rate. (correct)
  • It overestimated heart rate in all instances.
  • In runners with a low VO2peak, what was the percentage by which the GF overestimated VO2peak?

  • 7.1% (correct)
  • 6.2%
  • 8.0%
  • 5.7%
  • What was the result concerning the accuracy of heart rate measurements from the Whoop Band 3.0 during resistance exercises?

    <p>They should be interpreted with discretion.</p> Signup and view all the answers

    What general conclusion about the accuracy of wearable devices is drawn from the study?

    <p>The accuracy of wearable devices varies by activity.</p> Signup and view all the answers

    What aspect of physical activity (PA) do current guidelines primarily reflect?

    <p>Dose-response relationship</p> Signup and view all the answers

    Which type of physical activity is highlighted as being missed by traditional measures?

    <p>Vigorous intermittent lifestyle physical activity</p> Signup and view all the answers

    What appears to be true about the amount of device-measured PA needed for health benefits?

    <p>It is smaller than previously thought.</p> Signup and view all the answers

    Vigorously intermittent lifestyle physical activity (VILPA) is characterized by which of the following?

    <p>Being integrated into daily life</p> Signup and view all the answers

    What does the term 'VILPA' stand for?

    <p>Vigorous Intermittent Lifestyle Physical Activity</p> Signup and view all the answers

    Why is capturing movement patterns through wearables important?

    <p>To identify overlooked sporadic activities.</p> Signup and view all the answers

    Which outcome is suggested by the discussion of device-measured PA?

    <p>It might aid in reducing certain diseases.</p> Signup and view all the answers

    What is a common misconception regarding leisure time exercise?

    <p>It is the only beneficial form of PA.</p> Signup and view all the answers

    What must training load relate to for it to be meaningful?

    <p>An outcome, such as injury occurrence</p> Signup and view all the answers

    What does the systematic review by Fuller et al. primarily focus on?

    <p>Reliability and validity of wearable devices</p> Signup and view all the answers

    Which aspects were evaluated in the reliability and validity study by Fuller et al.?

    <p>Steps, heart rate, and energy expenditure</p> Signup and view all the answers

    What type of devices are assessed for measuring physical activity metrics according to the content?

    <p>Wearable fitness trackers</p> Signup and view all the answers

    What do external stressors in training typically vary with?

    <p>Noise and performance outcomes</p> Signup and view all the answers

    Which factor contributes to the validity of wearable activity trackers?

    <p>The accuracy of the data they collect</p> Signup and view all the answers

    What was one of the main criticisms of wearable activity trackers as indicated in the content?

    <p>Their reliability and marketing claims</p> Signup and view all the answers

    What aspect of sleep was mentioned in the provided content?

    <p>How restful the sleep experience is</p> Signup and view all the answers

    What is the relationship between blood sugar levels and fatigue according to Dr. Michael Riddell?

    <p>Blood sugar levels do not directly determine fatigue.</p> Signup and view all the answers

    In comparison to indirect calorimetry (IC), how does the Oura Ring's energy expenditure (EE) measurement perform?

    <p>It underestimates EE, particularly for sitting and standing.</p> Signup and view all the answers

    What was a significant finding about Oura Ring's step count accuracy?

    <p>It significantly overestimated step counts.</p> Signup and view all the answers

    What factor affects the accuracy of optical heart rate monitors during physical activity?

    <p>Motion artifacts caused by hand movements</p> Signup and view all the answers

    What limitation does the Oura Ring have according to the study findings?

    <p>It cannot be used interchangeably with reference monitors.</p> Signup and view all the answers

    During which conditions was the optical heart rate monitor noted to be less accurate?

    <p>During vigorous physical activity or underwater</p> Signup and view all the answers

    Which activity was particularly noted for high measurement error when using the Oura Ring?

    <p>Sitting</p> Signup and view all the answers

    What aspect of the Oura Ring's performance was found to correlate strongly with the pedometer?

    <p>Step count</p> Signup and view all the answers

    What type of signals does the mPower device record?

    <p>Surface EMG signals</p> Signup and view all the answers

    Which derived metric is NOT associated with the mPower device?

    <p>Body temperature</p> Signup and view all the answers

    What is the main function of the Mettis device?

    <p>Measure foot landing dynamics</p> Signup and view all the answers

    Which company manufactures the mPower device?

    <p>Fibrux Oy</p> Signup and view all the answers

    How does the PUSH device provide feedback during training?

    <p>Real-time audio feedback</p> Signup and view all the answers

    What type of sensors are used in the Mettis device?

    <p>Force and pressure sensors</p> Signup and view all the answers

    What is the reliability status of the mPower, Mettis, and PUSH devices?

    <p>None of the devices have undergone reliability testing</p> Signup and view all the answers

    Which device is connected to a mobile application for data analysis?

    <p>All of the above</p> Signup and view all the answers

    What is the main goal of descriptive analytics in the context of improving athletic performance?

    <p>Understanding the relationship between training intensity and performance improvement</p> Signup and view all the answers

    Which consideration is crucial for ensuring the reliability of collected data?

    <p>Collecting data based on valid and reliable measures</p> Signup and view all the answers

    What does diagnostic analytics focus on in training outcomes?

    <p>Establishing causal relationships between training variables</p> Signup and view all the answers

    What is the purpose of predictive analytics in the context of endurance training?

    <p>To forecast the likelihood of successful training outcomes</p> Signup and view all the answers

    Which of the following best describes prescriptive analytics?

    <p>Offering several strategies to enhance endurance performance</p> Signup and view all the answers

    Which statistical measure is particularly important in diagnostic analytics?

    <p>Statistical significance</p> Signup and view all the answers

    What type of biases may affect decision-making in prescriptive analytics?

    <p>Cognitive biases</p> Signup and view all the answers

    How does poor data collection affect analytics outcomes?

    <p>It generates misleading conclusions and analysis</p> Signup and view all the answers

    Study Notes

    KIN 3110 | Advanced Fitness Assessment

    • Course taught by Robert Gumiak, PhD
    • Course covers wearable technology in fitness assessment

    Plan for the Day

    • Recap of previous class/lab
    • Review of an assigned reading
    • Discussion of wearable technology

    Key Questions

    • Applications of wearable technology in commercial fitness
    • Applications of wearable technology in exercise
    • Novel applications of wearable technology
    • Recording and storing body data using technology
    • Limitations of wearable technology
    • Wearable technology: smart watches, heart rate monitors
    • Mobile exercise apps
    • Fitness programs for older adults
    • Exercise for weight loss
    • Traditional strength training
    • High-intensity interval training
    • Data-driven training technology
    • Exercise for mental health
    • Functional fitness training
    • Health/wellness coaching
    • Wearable technology
    • Strength training with free weights
    • Body weight training
    • Fitness programs for older adults
    • Functional fitness training
    • Outdoor activities

    What are Wearables?

    • Small, portable, lightweight devices
    • Worn on, close to, or in the body
    • Monitor, analyze, transmit, and/or receive data
    • Used by a wide range of individuals

    Wearables and Energy Expenditure

    • Accuracy of energy expenditure estimates varies between activities
    • Larger errors are observed from devices using accelerometry alone
    • Adding heart rate sensing improves energy expenditure estimates in most activities
    • Research-grade devices may not be superior to commercial devices in some activity types

    Continuous Glucose Monitoring in Athletics

    • CGMs monitor glucose in diabetics
    • Used in non-diabetics to guide pre/during/post exercise CHO intake
    • The link between blood sugar and performance is complex
    • Low blood sugar does not always result in fatigue, and vice versa

    Validation of Oura Ring Energy Expenditure and Steps

    • Oura Ring tends to underestimate energy expenditure (EE) compared with reference monitors.
    • Significant errors in sitting, standing, fast walking, and running.
    • Step count correlates strongly with pedometers, but overestimates

    Devices for Monitoring Training Loads and Movement

    • mPower: Measures muscle activation
    • Mettis Trainer: Biomechanical shoe insoles to monitor cadence, distance, impact force
    • PUSH: Accelerometer and gyroscope attached to a strap to record velocity, power, and total work

    Devices for Monitoring HR and HRV

    • Omega Wave: Heart rate variability, neuromuscular, sensorimotor and physical work capacity
    • MioSlice: Monitors physical activity levels and heart rate
    • HELO: Monitors blood pressure, heart rate, ECG

    Devices for Monitoring Sleep

    • Fitbit Flex/Charge2: Wristbands tracking sleep time and time in bed
    • Sleep Shepherd: Fabric headband monitoring EEG signals to reduce brain activity for sleep
    • HUSH: Wireless earplugs connected to a mobile app playing soothing music for sleep
    • Dreampad: Pillow connected to a mobile app playing programmable songs for sleep promotion

    Challenges with Wearable Monitoring

    • Accuracy of VO2 estimation (some devices rely on speed/inclination)
    • How EE is measured (use of body mass, age, activity)
    • HR/HRV accuracy (influenced by body temperature and metabolism)
    • "Step" detection and sensitivity thresholds

    Validity and Reliability of Wearable Devices

    • There is a risk of errors in device measures for steps, energy expenditure and heart rate

    Recommendations for Using Wearable Technology in Sleep and Circadian Research

    • PSG (polysomnography) is the gold standard, but it has drawbacks (cost, personnel, reliance on manual scoring, imperfect inter-rater reliability)
    • Wearable devices need to be carefully validated and accurate, reliable, efficient and measured longitudinally

    Limitations of Wearable Technology

    • Only ~5% of wearables are formally validated
    • Algorithms are proprietary
    • Digital 'black box'
    • Imperfect data collection (e.g., weather, stoppages)
    • Cost prohibitive
    • Health inequalities exacerbated

    Conceptual Data Analytics Framework

    • Descriptive: Data collection and basic monitoring
    • Diagnostic: Relating training intensity and improvement
    • Predictive: Forecasting training outcomes
    • Prescriptive: Optimal strategies for improving performance
    • Different user types (e.g., well-paid consultant, single mother, technophile informatician)
    • Psycho-social effects of wearable technology use (e.g., motivation, addiction, social pressure)
    • Societal trends related to CHT use (e.g., datafication, economization, individualization)

    Considerations

    • Self-diagnosis based on self-gathered data may not be consistent with clinical diagnoses
    • Self-monitoring can reveal undiagnosed health problems but there are also false positives/negatives
    • Continuous monitoring can produce an unhealthy obsession with personal health

    Next Class

    • Music in Assessment

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    Description

    This quiz explores the applications and limitations of wearable technology in fitness assessment as covered in KIN 3110. Students will discuss the impact of wearable technology and recent fitness trends. Prepare to delve into how technology is shaping fitness practices today.

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