Cordova Health Plugin

A plugin that abstracts fitness and health repositories like Apple HealthKit or Google Fit.

This work is based on cordova plugin googlefit and on cordova healthkit plugin

For an introduction about Google Fit versus HealthKit see this very good article.

Warning

This plugin stores health data in Google Fit, practice that is discouraged by Google.

Installation

Just execute this line in your project's folder:

cordova plugin add cordova-plugin-health

Requirements for iOS apps

• Make sure your app id has the 'HealthKit' entitlement when this plugin is installed (see iOS dev center).
• Also, make sure your app and AppStore description complies with these Apple review guidelines: https://developer.apple.com/app-store/review/guidelines/#healthkit

Requirements for Android apps

• You need to have the Google Services API downloaded in your SDK
• Be sure to give your app access to the Google Fitness API, see this and this
• If you are wondering what key your compiled app is using, you can type keytool -list -printcert -jarfile yourapp.apk

Some more detailed instructions are provided here

Supported data types

As HealthKit does not allow adding custom data types, only a subset of data types supported by HealthKit has been chosen. Google Fit is limited to fitness data and, for health, custom data types are defined with the suffix of the package name of your project.

data type	HealthKit equivalent (unit)	Google Fit equivalent
steps	HKQuantityTypeIdentifierStepCount (count)	TYPE_STEP_COUNT_DELTA
distance	HKQuantityTypeIdentifierDistanceWalkingRunning (m) + HKQuantityTypeIdentifierDistanceCycling (m)	TYPE_DISTANCE_DELTA
calories	HKQuantityTypeIdentifierActiveEnergyBurned + HKQuantityTypeIdentifierBasalEnergyBurned(kcal)	TYPE_CALORIES_EXPENDED
calories.active	HKQuantityTypeIdentifierActiveEnergyBurned (kcal)	TYPE_CALORIES_EXPENDED - (TYPE_BASAL_METABOLIC_RATE * time window)
calories.basal	HKQuantityTypeIdentifierBasalEnergyBurned (kcal)	TYPE_BASAL_METABOLIC_RATE * time window
activity	HKWorkoutTypeIdentifier + HKCategoryTypeIdentifierSleepAnalysis	TYPE_ACTIVITY_SEGMENT
height	HKQuantityTypeIdentifierHeight (m)	TYPE_HEIGHT
weight	HKQuantityTypeIdentifierBodyMass (kg)	TYPE_WEIGHT
heart_rate	HKQuantityTypeIdentifierHeartRate (count/min)	TYPE_HEART_RATE_BPM
fat_percentage	HKQuantityTypeIdentifierBodyFatPercentage (%)	TYPE_BODY_FAT_PERCENTAGE
gender	HKCharacteristicTypeIdentifierBiologicalSex	custom (YOUR_PACKAGE_NAME.gender)
date_of_birth	HKCharacteristicTypeIdentifierDateOfBirth	custom (YOUR_PACKAGE_NAME.date_of_birth)

Note: units of measurements are fixed !

Returned objects can be of different types, see examples below:

data type	value
steps	34
distance	101.2
calories	245.3
activity	"walking" (note: recognised activities and their mapping to Fit / HealthKit equivalents are listed in this file)
height	185.9
weight	83.3
heart_rate	66
fat_percentage	31.2
gender	"male"
date_of_birth	{ day: 3, month: 12, year: 1978 }

Methods

isAvailable()

Tells if either Google Fit or HealthKit are available.

navigator.health.isAvailable(successCallback, errorCallback)

• successCallback: {type: function(available)}, if available a true is passed as argument, false otherwise
• errorCallback: {type: function(err)}, called if something went wrong, err contains a textual description of the problem

Quirks of isAvailable()

• In Android, it checks both if recent Google Play Services and Google Fit are installed. If the play services are not installed, or are obsolete, it will show a pop-up suggesting to download them. If Google Fit is not installed, it will open the Play Store at the location of the Google Fit app. The plugin does not wait until the missing packages are installed, it will return immediately.

requestAuthorization()

Requests read and write access to a set of data types. This function should be called first in your application.

navigator.health.requestAuthorization(datatypes, successCallback, errorCallback)

• datatypes: {type: Array of String}, a list of data types you want to be granted access to
• successCallback: {type: function}, called if all OK
• errorCallback: {type: function(err)}, called if something went wrong, err contains a textual description of the problem

query()

Gets all the records of a certain data type within a certain time window.

Warning: it can generate long arrays!

navigator.health.query({
        startDate: new Date(new Date().getTime() - 3 * 24 * 60 * 60 * 1000), // three days ago
        endDate: new Date(), // now
        dataType: 'height'
        }, successCallback, errorCallback)

• startDate: {type: Date}, start date from which to get data
• endDate: {type: Date}, end data to which to get the data
• dataType: {type: String}, the data type to be queried (see above)
• successCallback: {type: function(data) }, called if all OK, data contains the result of the query in the form of an array of: { startDate: Date, endDate: Date, value: xxx, unit: 'xxx', source: "xxx" }
• errorCallback: {type: function(err)}, called if something went wrong, err contains a textual description of the problem

Quirks of query()

• in Google Fit calories.basal is returned as an average per day, and usually is not available in all days (may be not available in time windows smaller than 5 days or more)
• in Google Fit calories.active is computed by subtracting the basal from the total, as basal an average of the a number of days before endDate is taken (the actual number is defined in a variable, currently set to 7)
• while Google Fit calculates basal and active calories automatically, HealthKit needs an explicit input
• when querying for activities, Google Fit is able to determine some activities automatically, while HealthKit only relies on the input of the user or of some external app

queryAggregated()

Gets aggregated data in a certain time window.

navigator.health.queryAggregated({
        startDate: new Date(new Date().getTime() - 3 * 24 * 60 * 60 * 1000), // three days ago
        endDate: new Date(), // now
        dataType: 'steps'
        }, successCallback, errorCallback)

• startDate: {type: Date}, start date from which to get data
• endDate: {type: Date}, end data to which to get the data
• dataType: {type: String}, the data type to be queried (see below for supported data types)
• successCallback: {type: function(data)}, called if all OK, data contains the result of the query, see below for returned data types
• errorCallback: {type: function(err)}, called if something went wrong, err contains a textual description of the problem

Not all data types are supported for aggregated queries. The following table shows what types are supported and examples of aggregated data:

data type	example of returned object
steps	{ startDate: Date, endDate: Date, value: 5780, unit: 'count' }
distance	{ startDate: Date, endDate: Date, value: 12500.0, unit: 'm' }
calories	{ startDate: Date, endDate: Date, value: 25698.1, unit: 'kcal' }
calories.active	{ startDate: Date, endDate: Date, value: 3547.4, unit: 'kcal' }
calories.basal	{ startDate: Date, endDate: Date, value: 13146.1, unit: 'kcal' }
activity	{ startDate: Date, endDate: Date, value: { still: { duration: 520000, calories: 30, distance: 0 }, walking: { duration: 223000, calories: 20, distance: 15 }}, unit: 'activitySummary' } (note: duration is expressed in milliseconds, distance in meters and calories in kcal)

Quirks of queryAggregated()

• when querying for activities, calories and distance are provided when available in HealthKit and never in Google Fit
• in Android, the start and end dates returned are the date of the first and the last available samples. If no samples are found, start and end may not be set.

store()

Stores a data point.

navigator.health.store({
	startDate:  new Date(new Date().getTime() - 3 * 60 * 1000), // three minutes ago
	endDate: new Date(),
	dataType: 'steps',
	value: 180,
	source: 'my_app'}, successCallback, errorCallback)

• startDate: {type: Date}, start date from which to get data
• endDate: {type: Date}, end data to which to get the data
• dataType: {type: a String}, the data type
• value: {type: a number or an Object}, depending on the actual data type
• source: {type: String}, the source that produced this data. In iOS this is ignored and set automatically to the name of your app.
• successCallback: {type: function}, called if all OK
• errorCallback: {type: function(err)}, called if something went wrong, err contains a textual description of the problem

Quirks of store()

• in iOS you cannot store the total calories, you need to specify either basal or active. If you use total calories, the active ones will be stored.
• in Android you can only store active calories, as the basal are estimated automatically. If you store total calories, these will be treated as active.
• in iOS distance is assumed to be of type WalkingRunning, if you want to explicitly set it to Cycling you need to add the field cycling: true.
• in iOS, storing the sleep activities is not supported at the moment.

Differences between HealthKit and Google Fit

• HealthKit includes medical data (eg blood glucose), Google Fit is currently only related to fitness data
• HealthKit provides a data model that is not extensible, Google Fit allows defining custom data types
• HealthKit allows to insert data with the unit of measurement of your choice, and automatically translates units when quiered, Google Fit stores data with a fixed unit of measurement
• HealthKit automatically counts steps and distance when you carry your phone with you, Google Fit also detects the kind of activity (sedentary, running, walking, cycling, in vehicle)
• HealthKit automatically computes the distance only for running/walking activities, Google Fit includes bicycle also

External Resources

• The official Apple documentation for HealthKit can be found here.
• For functions that require the unit attribute, you can find the comprehensive list of possible units from the Apple Developers documentation.
• HealthKit constants, used throughout the code
• Google Fit supported data types

Roadmap

short term

• add query with buckets (see window.plugins.healthkit.querySampleTypeAggregated for HealthKit)
• add delete
• get steps from the "polished" Google Fit data source (see https://plus.google.com/104895513165544578271/posts/a8P62A6ejQy)
• add support for HKCategory samples in HealthKit
• extend the datatypes
• blood pressure (KCorrelationTypeIdentifierBloodPressure, custom data type)
• food (HKCorrelationTypeIdentifierFood, TYPE_NUTRITION)
• blood glucose
• location (NA, TYPE_LOCATION)

long term

• add registration to updates (in Fit: HistoryApi#registerDataUpdateListener() )
• store vital signs on an encrypted DB in the case of Android (possible choice: sqlcipher)
• add also Samsung Health as a health record for Android

Contributions

Any help is more than welcome! I cannot program in iOS, so I would particularly appreciate someone who can give me a hand. Just send me an email to my_username at gmail.com