『Fit For Science』のカバーアート

Fit For Science

Fit For Science

著者： Stephan Reichl and Rob ter Horst
無料で聴く

概要

 Two scientists discuss how they live their best life, using science, data, tech, wearables, and systems. Fit For Science is a deep-dive podcast hosted by two biological data scientists, Rob and Stephan, exploring the intersection of research, health tech, and data-driven lifestyle design. The hosts provide evidence-based systems, layered with practical "N=2" personal experimentation, to cut through the noise and enable everyone to become their best N-of-1. The Quantified Scientist (Rob): youtube.com/TheQuantifiedScientist Stephan's Website: http://polytechnist.meStephan Reichl and Rob ter Horst 衛生・健康的な生活
エピソード
  • #17 The Three Dimensions of Wearables: Hardware, Algorithms and Apps (UI/UX)

    #17 The Three Dimensions of Wearables: Hardware, Algorithms and Apps (UI/UX)
    2026/05/18
    Rob and Stephan break down the three critical dimensions of wearables—hardware, algorithms, and UI/UX—to explain what truly drives accurate health and sports tracking.📝SummaryBiological data scientists Rob and Stephan explore the three foundational pillars that determine the quality of health and sports tracking wearables: hardware, algorithms, and Apps (UI/UX). They begin by evaluating the maturity of physical sensors like PPG and accelerometers, noting that while hardware capabilities have largely plateaued in high-end devices, energy density and battery technology continue to improve. The conversation then shifts to the critical differentiating factor of algorithms, breaking them down into three levels of complexity: direct on-device processing of heart rate, second-order computations for metrics like sleep staging, and highly advanced long-term disease risk predictions. Finally, the hosts discuss how the user interface and user experience tie these elements together, highlighting the importance of data presentation and the emergence of pure data aggregators in the wearable market.⏳Chapters00:00:00 The Three Dimensions of Wearable Performance00:02:26 Hardware: The Foundation of Wearable Sensors00:06:15 Understanding Raw Signals and Sensor Interference00:09:46 Battery Technology and Hardware Durability00:15:41 Level 1 Algorithms: Direct On-Device Processing (e.g., Heart rate)00:23:51 Level 2 Algorithms: Derived Metrics (e.g., Sleep Stages)00:55:50 Level 3 Algorithms: High-Level Aggregations (e.g., Long-Term Disease Risk)00:56:20 Apps (UI & UX): The Final Wearable App Experience📚ResourcesPhotoplethysmogram (PPG)AccelerometerGlobal Positioning System (GPS)Pulse oximetry (SpO2 Sensor)Holter monitor (ECG)Polysomnography (Sleep Study)Heart rate variability (HRV)Dual carbon battery Edge computing Embedded systemPulse wave velocity (PWV)Foundation model (AI)User experience (UI/UX)GarminOura HealthApple WatchThe accuracy of Apple Watch measurements: a living systematic review and meta-analysisWhoopBevel Athlytic Garbage in, garbage out (GIGO)Introducing the new Google Fitbit Air A Systematic Review of Chest-Worn Sensors in Cardiac Assessment: Technologies, Advantages, and Limitations …There is more: complete show notes here🎙️AboutFit For Science is a deep-dive podcast hosted by two biological data scientists, Rob and Stephan, exploring the intersection of research, health tech, and data-driven lifestyle design. The hosts provide evidence-based systems, layered with practical "N=2" personal experimentation, to cut through the noise and enable everyone to become their best N-of-1.Learn more and subscribe on your favorite platforms:YouTubeSpotifyApple PodcastsAmazon MusicCollection of all show notes⚠️Disclaimer: This podcast represents our own opinions and is for informational purposes only. It does not constitute medical or financial advice or a professional relationship.
    続きを読む 一部表示
    57 分
  • The 1-Minute Exercise Myth, Exercise & Mortality, Athletes' Health Risks & Rob's 8-Watch Marathon (Fit For Science #16)

    The 1-Minute Exercise Myth, Exercise & Mortality, Athletes' Health Risks & Rob's 8-Watch Marathon (Fit For Science #16)
    2026/05/09
    In this episode of Fit For Science, Rob and Stephan explore the complex relationship between various exercise types, intensity levels, and mortality, while also recounting Rob's intense DIY smartwatch-testing marathon.📝SummaryIn this episode, Rob and Stephan dive into the nuanced impacts of physical activity on mortality and disease risk, emphasizing that while exercise is universally beneficial, its effects vary by type, intensity, and duration. The hosts unpack a 30-year cohort study involving over 111,000 participants, highlighting that 20 MET hours per week and a variety of activities optimally reduce mortality risk, with walking being highly effective. They critically examine recent wearable-based studies claiming that a few minutes of vigorous intermittent lifestyle physical activity (VILPA) can drastically substitute for longer low-intensity sessions, pointing out the limitations of substitution modeling. Furthermore, the discussion touches on "masters athletes," exploring how extreme, long-term exercise volumes can lead to unique cardiovascular adaptations and potential risks like atrial fibrillation or bradyarrhythmias, underscoring the need for specialized cardiological care. Finally, Rob shares his experience running a solo marathon fueled by a stationary bike feed station to test the GPS accuracy of eight different smartwatches simultaneously.⏳Chapters00:00:00 The DIY Marathon: Rob recounts his solo marathon to test eight smartwatches00:13:48 Exercise and Mortality: A 30-year study on MET hours, activity types, and death risk00:23:38 Walking vs. Swimming: Different mortality correlations between specific sports00:28:46 The Power of Variety: How mixing exercise types significantly lowers mortality risk00:32:49 VILPA and Vigorous Exercise: Analyzing studies on high intensity exercise00:38:17 Critiquing claims that one minute of vigorous activity equals 54 minutes of low intensity activity00:44:49 Masters Athletes: Defining high-performing athletes over 35 and their cardiovascular health00:51:56 The Athlete's Heart: Exploring cardiovascular specific risks in endurance athletes01:00:49 Final takeaways on balancing exercise intensity and seeking appropriate medical advice📚ResourcesPhysical activity types, variety, and mortality: results from two prospective cohort studies Mix of different types of physical activity may be best for longer life Metabolic equivalent of task (MET) Association of wearable device-measured vigorous intermittent lifestyle physical activity (VILPA) with mortality Wearable device-based health equivalence of different physical activity intensities against mortality, cardiometabolic disease, and cancer Why Vigorous Exercise Is 4–10x More Effective Than Moderate (New Evidence) The Best Type of Exercise for Longevity1 Minute of Vigorous Activity Same as 53 Minutes of Light Intensity?Masters Athletes With Abnormal Cardiovascular Findings The Recreational Athlete's Heart Bradycardia …There is more: complete show notes here🎙️AboutFit For Science is a deep-dive podcast hosted by two biological data scientists, Rob and Stephan, exploring the intersection of research, health tech, and data-driven lifestyle design. The hosts provide evidence-based systems, layered with practical "N=2" personal experimentation, to cut through the noise and enable everyone to become their best N-of-1.Learn more and subscribe on your favorite platforms:YouTubeSpotifyApple PodcastsAmazon MusicCollection of all show notes⚠️Disclaimer: This podcast represents our own opinions and is for informational purposes only. It does not constitute medical or financial advice or a professional relationship.
    続きを読む 一部表示
    58 分
  • Stanford's Aging Fish, Tracking Wishlist, Placebo Blueberries & Measuring Body Composition - Q1’26 Updates (Fit For Science Episode 15)

    Stanford's Aging Fish, Tracking Wishlist, Placebo Blueberries & Measuring Body Composition - Q1’26 Updates (Fit For Science Episode 15)
    2026/04/27
    In this episode, Rob and Stephan explore the intersection of lifespan research, the exposome, and daily health tracking, tackling everything from aging fish and AI stool analysis to passive exercise tracking and body composition scales.📝SummaryIn episode 15 of Fit For Science, Rob and Stephan explore the intersection of lifespan research, the exposome, and daily health tracking, tackling everything from fish behavior to body composition. The hosts, both biological data scientists, dive into a recent Stanford study published in Science that tracked the lifetime behavior of short-lived fish to uncover insights into aging, connecting these methods to human wearable technology and exposome tracking. They transition into discussing the potential benefits and practical hurdles of tracking daily bowel movements using AI and the Bristol stool chart compared to infrequent microbiome testing. The conversation also highlights wishlist features for wearables, specifically the ability to quantify passive exercises like saunas and cold plunges. A personal anecdote about a sudden burst of energy and reduced sleep need following the consumption of freeze-dried blueberries sparks a debate on whether this was due to antioxidants reducing neuroinflammation or simply project-induced excitement. Finally, they compare at-home bioelectrical impedance smart scales to clinical measurements, detailing the nuances between lean mass, visceral fat, and the importance of long-term trend averaging.⏳Chapters00:00:00 Fish Aging Study: Discussing a Stanford study connecting fish with wearables00:04:13 The Exposome: Exploring how environmental exposures are tracked00:12:05 Stool Tracking vs. Microbiome Analysis00:19:33 Quantifying Passive Exercise: A wishlist discussion00:25:30 The Blueberry Effect and Sleep: Stephan's placebo experience00:34:30 Body Composition and Smart Scales00:43:03 Advanced Body Composition Measurement Techniques00:46:07 Lean Mass vs. Visceral Fat00:51:22 Data Averages and Trends📚ResourcesLinkedIn post about Stanford's aging fish study Watching a lifetime in motion reveals the architecture of aging Youthful antics predict lifespan — at least for these fish Paper: Lifelong behavioral screen reveals an architecture of vertebrate aging Amazon's failed body composition app: The science behind the Halo Body feature Academic publishing: Open Access vs Paywalls Actigraphy An atlas of exposome–phenome associations in health and disease risk Exposome Snyder Lab - Exposome A Network-Based Framework for Assessing the Pathobiological Impact of Environmental Exposures on Human Development & Health - Salvo D LombardoCeMM - Research Center for Molecular Medicine (where we work) Massive biomolecular shifts occur in our 40s and 60s Microbiome Bristol Stool Chart: Types & What They Mean Zettelkasten system (Stephan uses his email inbox)Body Scan | Withings Europe The 10 Best Ways to Measure Your Body Fat Percentage The Evaluation of a Mass Media Campaign Aimed at Weight Gain Prevention Among Young Dutch Adults Sustained visceral fat loss is associated with attenuated brain atrophy and improved cognitive function in late midlife…There is more: complete show notes here🎙️AboutFit For Science is a deep-dive podcast hosted by two biological data scientists, Rob and Stephan, exploring the intersection of research, health tech, and data-driven lifestyle design. The hosts provide evidence-based systems, layered with practical "N=2" personal experimentation, to cut through the noise and enable everyone to become their best N-of-1.Learn more and subscribe on your favorite platforms:YouTubeSpotifyApple PodcastsAmazon MusicCollection of all show notes⚠️Disclaimer: This podcast represents our own opinions and is for informational purposes only. It does not constitute medical or financial advice or a professional relationship.
    続きを読む 一部表示
    56 分
adbl_web_anon_alc_button_suppression_c
まだレビューはありません