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1 Unlocking Your Hidden Genius: How to Harness Your Innate Talents with Betsy Wills & Alex Ellison | Ep. 289 32:08
How to select measurement settings and what difference those make? - Dr. Olli Tikkanen (Pt2)
Manage episode 448949980 series 2790247
"How does customizable data collection enhance research accuracy?" In this episode, Dr. Olli Tikkanen explains the importance of customizable data collection settings in research and how the Fibion Flash device offers flexibility to suit a variety of study types. The ability to adjust sampling frequencies, sensor activation, and measurement ranges allows researchers to align data collection precisely with their objectives—whether for low-frequency sedentary behavior studies or high-frequency sports biomechanics research. Dr. Tikkanen discusses the versatility of Fibion Flash, which features a 9-axis motion sensor and options for ECG and heart rate variability measurement.
He also covers practical examples, such as selecting the optimal accelerometer range for accurate physical activity data and adjusting settings for heart rate variability to capture precise cardiovascular information. With customizable options ranging from 12.5 Hz to 416 Hz for sampling frequency, Fibion Flash supports diverse research needs, providing reliable data for short-term and long-term projects. This episode is perfect for researchers looking for adaptable tools to optimize their study designs.
___________________________
This podcast episode is sponsored by Fibion Inc. | Better Sleep, Sedentary Behaviour and Physical Activity Research with Less Hassle
---
Collect, store and manage SB and PA data easily and remotely -
Discover ground-breaking Fibion SENS
---
SB and PA measurements, analysis, and feedback made easy.
Learn more about Fibion Research
---
Learn more about Fibion Sleep and Fibion Circadian Rhythm Solutions.
---
Fibion Kids - Activity tracking designed for children.
---
Collect self-report physical activity data easily and cost-effectively with Mimove.
---
Explore our Wearables, Experience sampling method (ESM), Sleep, Heart rate variability (HRV), Sedentary Behavior and Physical Activity article collections for insights on related articles.
---
Refer to our article "Physical Activity and Sedentary Behavior Measurements" for an exploration of active and sedentary lifestyle assessment methods.
---
Learn about actigraphy in our guide: Exploring Actigraphy in Scientific Research: A Comprehensive Guide.
---
Gain foundational ESM insights with "Introduction to Experience Sampling Method (ESM)" for a comprehensive overview.
---
Explore accelerometer use in health research with our article "Measuring Physical Activity and Sedentary Behavior with Accelerometers ".
---
For an introduction to the fundamental aspects of HRV, consider revisiting our Ultimate Guide to Heart Rate Variability.
---
Follow the podcast on Twitter https://twitter.com/PA_Researcher
Follow host Dr Olli Tikkanen on Twitter https://twitter.com/ollitikkanen
Follow Fibion on Twitter https://twitter.com/fibion
https://www.youtube.com/@PA_Researcher
600 эпизодов
Manage episode 448949980 series 2790247
"How does customizable data collection enhance research accuracy?" In this episode, Dr. Olli Tikkanen explains the importance of customizable data collection settings in research and how the Fibion Flash device offers flexibility to suit a variety of study types. The ability to adjust sampling frequencies, sensor activation, and measurement ranges allows researchers to align data collection precisely with their objectives—whether for low-frequency sedentary behavior studies or high-frequency sports biomechanics research. Dr. Tikkanen discusses the versatility of Fibion Flash, which features a 9-axis motion sensor and options for ECG and heart rate variability measurement.
He also covers practical examples, such as selecting the optimal accelerometer range for accurate physical activity data and adjusting settings for heart rate variability to capture precise cardiovascular information. With customizable options ranging from 12.5 Hz to 416 Hz for sampling frequency, Fibion Flash supports diverse research needs, providing reliable data for short-term and long-term projects. This episode is perfect for researchers looking for adaptable tools to optimize their study designs.
___________________________
This podcast episode is sponsored by Fibion Inc. | Better Sleep, Sedentary Behaviour and Physical Activity Research with Less Hassle
---
Collect, store and manage SB and PA data easily and remotely -
Discover ground-breaking Fibion SENS
---
SB and PA measurements, analysis, and feedback made easy.
Learn more about Fibion Research
---
Learn more about Fibion Sleep and Fibion Circadian Rhythm Solutions.
---
Fibion Kids - Activity tracking designed for children.
---
Collect self-report physical activity data easily and cost-effectively with Mimove.
---
Explore our Wearables, Experience sampling method (ESM), Sleep, Heart rate variability (HRV), Sedentary Behavior and Physical Activity article collections for insights on related articles.
---
Refer to our article "Physical Activity and Sedentary Behavior Measurements" for an exploration of active and sedentary lifestyle assessment methods.
---
Learn about actigraphy in our guide: Exploring Actigraphy in Scientific Research: A Comprehensive Guide.
---
Gain foundational ESM insights with "Introduction to Experience Sampling Method (ESM)" for a comprehensive overview.
---
Explore accelerometer use in health research with our article "Measuring Physical Activity and Sedentary Behavior with Accelerometers ".
---
For an introduction to the fundamental aspects of HRV, consider revisiting our Ultimate Guide to Heart Rate Variability.
---
Follow the podcast on Twitter https://twitter.com/PA_Researcher
Follow host Dr Olli Tikkanen on Twitter https://twitter.com/ollitikkanen
Follow Fibion on Twitter https://twitter.com/fibion
https://www.youtube.com/@PA_Researcher
600 эпизодов
All episodes
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1 Tricks to Get Better HRV and ECG Signal Quality - How Electrode Placement, Shirt Material, Impedance Affect ECG and HRV Data – José Näf (Pt2) 16:54

1 How to Choose Electrodes for Long-Term HRV and ECG Measurements – Insights from José Näf (Pt1) 17:06

1 Introduction to Machine Learning in Physical Activity and Health Research _ Next-Gen Research Techniques 3:56

1 Illuminating the Future: How Photoplethysmography (PPG) Sensors are Revolutionizing Health Monitoring _ Next-Gen Research Techniques 7:36

1 Highlights / Interesting Ideas How to Analyse Sleep and Physical Activity Data - Dr Christina Reynolds (Pt3) 13:39

1 How to Improve Compliance in Experience Sampling Method (ESM) Data Collection _ Next-Gen Research Techniques 15:41

1 How Posture, Activity, HRV data with AI Are Enhancing Heart Function Research _ Next-Gen Research Techniques 9:16

1 Highlights / Intradaily Variability and Interdaily Stability as a Measures of Circadian Rhythm - Dr Christina Reynolds (Pt2) 28:22

1 Health Insights with Multi-Biosignal Monitoring and Machine Learning: A New Era in Real-World Research _ Next-Gen Research Techniques 10:49

1 Future Trends and Advancements in Machine Learning for Physical Activity Research _ Next-Gen Research Techniques 7:15

1 Highlights / Why Every Research Team Needs an Astrophysicist! Sleep, Circadian Rhythm, EEG... Dr Christina Reynolds (Pt1) 24:09

1 Experience Sampling Method (ESM) – Comprehensive Guide to Researchers _ Next-Gen Research Techniques 19:57

1 Comparing Supervised and Unsupervised Learning in Physical Activity Research _ Next-Gen Research Techniques 6:28

1 Highlights / How PA, Sleep and Circadian Rhythm Researches Can Join Forces - Dr Anna Biller (Pt3) 17:34
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