HealthAnalysis
iPhone / Forme et santé
HealthAnalysis integrates with the Health app and uses your health data (subject to your authorization) to provide five different types of charts for analysis:
1) Time Series Charts: Analyse the variation of averages (mean and median) and related parameters (standard deviation, min and max) over time. The averages can be calculated over different intervals like a week or month.
2) Distribution Charts: Analyse the spread of data along with the mean, median, standard deviation and interquartile range.
3) Correlation Charts: Analyse the relationship if any between pairs of health parameters, for example, does the distance walked vary linearly with the step count? If so you can use the data to determine your step size!
4) Periodic Averaging Charts: Explore cyclical patterns in the data. For example, do you walk more on certain days of the week? Does your body temperature vary cyclically over a menstrual period?
5) Moon Phase Charts: Analyse how your health data varies with the moon phases
There are over 250 charts to choose from analysing blood pressure, heart rate, weight, respiratory rate, blood oxygen, energy, steps, distance, stand, body temperature and more!
The End User License Agreement (EULA) for HealthAnalysis can be found here: https://www.apple.com/legal/internet-services/itunes/dev/stdeula/
Quoi de neuf dans la dernière version ?
***Moon Phase Charts***
A fun new feature in time for Halloween - You can now analyse how your health data varies with the moon phases.
***Several New Data Types Added***
Running data:
* Running Speed
* Running Stride Length
* Running Power
* Running Ground Contact Time
* Running Vertical Oscillation
Other Data:
* Sleeping Wrist Temperature
* Walking Heart Rate
* VO2 Max
* Headphone Audio Exposure
* Move Time
***Non-subscription Data***
A new user can now try out the apps features using Steps and Distance data without having to purchase a subscription.
***New Time Axis Option for Periodic Averaging Charts***
Periodic averaging charts allow the user to analyse cyclical trends in their health data. Previously the time axis for the cyclical averaging was specified with dates from the last cycle. The user now has the option to label this axis in terms of number of sampling intervals from the anchor date.
