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authorChris Schlaeger <chris@linux.com>2018-03-17 16:50:25 +0100
committerChris Schlaeger <chris@linux.com>2018-03-17 16:50:25 +0100
commit7caf6e842fd61975d3f402b1725ed0c9d9472c6c (patch)
tree225738a3edfcb03f7285416f16c7c6ed94860f2c
parentca8a1fe5df72268f1110d74a928b4b33d1178f9a (diff)
downloadpostrunner-7caf6e842fd61975d3f402b1725ed0c9d9472c6c.zip
New: Show TRIMP (Exp) in activity summary
-rw-r--r--lib/postrunner/ActivitySummary.rb40
1 files changed, 40 insertions, 0 deletions
diff --git a/lib/postrunner/ActivitySummary.rb b/lib/postrunner/ActivitySummary.rb
index 70546d8..f753ce9 100644
--- a/lib/postrunner/ActivitySummary.rb
+++ b/lib/postrunner/ActivitySummary.rb
@@ -145,6 +145,10 @@ module PostRunner
t.row([ 'Aerobic Training Effect:', session.total_training_effect ])
end
+ if (trimp = trimp_exp) > 0.0
+ t.row([ 'TRIMP (Exp):', trimp ])
+ end
+
rec_info = @fit_activity.recovery_info
t.row([ 'Ignored Recovery Time:',
rec_info ? secsToDHMS(rec_info * 60) : '-' ])
@@ -362,7 +366,43 @@ module PostRunner
end
def trimp_exp
+ # According to http://fellrnr.com/wiki/TRIMP
+ # TRIMPexp = sum(D x HRr x 0.64e^y)
+ # Where
+ #
+ # D is the duration in minutes at a particular Heart Rate
+ # HRr is the Heart Rate as a fraction of Heart Rate Reserve
+ # y is the HRr multiplied by 1.92 for men and 1.67 for women.
+ return 0.0 unless (user_data = @fit_activity.user_data.first)
+ user_profile = @fit_activity.user_profiles.first
+ hr_zones = @fit_activity.heart_rate_zones.first
+
+ unless (user_profile && (rest_hr = user_profile.resting_heart_rate)) ||
+ (hr_zones && (rest_hr = hr_zones.resting_heart_rate))
+ # We must have a valid resting heart rate to compute TRIMP.
+ return 0.0
+ end
+ unless (user_data && (max_hr = user_data.max_hr)) ||
+ (hr_zones && (max_hr = hr_zones.max_heart_rate))
+ # We must have a valid maximum heart rate to compute TRIMP.
+ return 0.0
+ end
+
+ prev_timestamp = nil
+ sum = 0.0
+ @activity.fit_activity.records.each do |r|
+ if prev_timestamp && r.timestamp && r.heart_rate
+ hr_r = (r.heart_rate - rest_hr).to_f / (max_hr - rest_hr)
+ y = user_data.gender == :male ? 1.92 : 1.67 * hr_r
+ factor = 0.64 * Math.exp(y)
+ sum += ((r.timestamp - prev_timestamp) / 60.0) * hr_r * factor
+ end
+ prev_timestamp = r.timestamp
+ end
+ # There are so many fudge factors in the formula that we don't want to
+ # suggest more precision than there really is.
+ sum.round
end
end