Feature Requests

Once the core set of features is settled, let's localise the app to most used languages: Spanish, French, German, Simplified Chinese, Russian, Japanese...

Chart can show stress level (or HRV) and logged activities like sleep duration, daytime light, mindfulness minutes etc. on the same scale.

DFA (detrended fluctuation analysis) alpha 1 is an HRV (heart rate variability) based aerobic and anaerobic threshold estimation method. It only requires a heart rate monitor that tracks HRV data. It has the potential to track your thresholds automatically without dedicated test workouts. Important: it will require users to have additional heart rate monitor like chest strap Polar H10 to measure HRV during workouts. Apple Watch measures heart beats when calm i.e. not working out. References: Fractal Correlation Properties of Heart Rate Variability: A New Biomarker for Intensity Distribution in Endurance Exercise and Training Prescription - Thomas Gronwald, Bruce Rogers, Olaf Hoos - Front. Physiol. 2020. https://www.frontiersin.org/journals/physiology/articles/10.3389/fphys.2020.550572/full A New Detection Method Defining the Aerobic Threshold for Endurance Exercise and Training Prescription Based on Fractal Correlation Properties of Heart Rate Variability - Bruce Rogers, David Giles, Nick Draper, Olaf Hoos, Thomas Gronwald - Front. Physiol. 2021. https://www.frontiersin.org/journals/physiology/articles/10.3389/fphys.2020.596567/full Detection of the Anaerobic Threshold in Endurance Sports: Validation of a New Method Using Correlation Properties of Heart Rate Variability - Bruce Rogers, David Giles, Nick Draper, Laurent Mourot, Thomas Gronwald - J. Funct. Morphol. Kinesiol. 2021. https://www.mdpi.com/2411-5142/6/2/38 Influence of Artefact Correction and Recording Device Type on the Practical Application of a Non-Linear Heart Rate Variability Biomarker for Aerobic Threshold Determination - Bruce Rogers, David Giles, Nick Draper, Laurent Mourot, Thomas Gronwald - Sensors 2021. https://pubmed.ncbi.nlm.nih.gov/33530473/

The idea is to provide a setting for the stress level algorithm to include different metrics for example, for some people HRV might be very dominant than for others. Another algorithm, including heart rate might be most suitable so basically we can have a bunch of different approaches to calculate stress level and recovery, and people can choose, which of them feedback.

Add Calendar integration to connect most stressful periods to specific events

Update Apple Watch app and introduce complications to have glanceable view of stress level and metrics.