Heart Rate data on apple Watch

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Heart Rate Raw Data information is now available in Watchkit for watchOS 2.0.

WatchOS 2 includes many enhancements to other existing frameworks such as HealthKit, enabling access to the health sensors that access heart rate and health information in real-time.

You could check this information in the following session which is total 30 minutes presentation.If you do not want to watch entire session, then you directly jump to Healthkit API features which is in between 25-28 min:

WatchKit for watchOS 2.0 Session in WWDC 2015

Here is the source code implementation link

As stated in the HKWorkout Class Reference:

The HKWorkout class is a concrete subclass of the HKSample class.
HealthKit uses workouts to track a wide range of activities. The
workout object not only stores summary information about the activity
(for example, duration, total distance, and total energy burned), it
also acts as a container for other samples. You can associate any
number of samples with a workout. In this way, you can add detailed
information relevant to the workout.

In that given link, the following part of the code defines sample rate of heartRate

NSMutableArray *samples = [NSMutableArray array];

HKQuantity *heartRateForInterval =
[HKQuantity quantityWithUnit:[HKUnit unitFromString:@"count/min"]
                 doubleValue:95.0];

HKQuantitySample *heartRateForIntervalSample =
[HKQuantitySample quantitySampleWithType:heartRateType
                                quantity:heartRateForInterval
                               startDate:intervals[0]
                                 endDate:intervals[1]];

[samples addObject:heartRateForIntervalSample];

As they state there:

You need to fine tune the exact length of your associated samples
based on the type of workout and the needs of your app. Using 5 minute
intervals minimizes the amount of memory needed to store the workout ,
while still providing a general sense of the change in intensity over
the course of a long workout. Using 5 second intervals provides a
much-more detailed view of the workout, but requires considerably more
memory and processing.

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