diff options
Diffstat (limited to 'spec/HRV_Analyzer_spec.rb')
| -rw-r--r-- | spec/HRV_Analyzer_spec.rb | 95 |
1 files changed, 57 insertions, 38 deletions
diff --git a/spec/HRV_Analyzer_spec.rb b/spec/HRV_Analyzer_spec.rb index 920298e..9ac3200 100644 --- a/spec/HRV_Analyzer_spec.rb +++ b/spec/HRV_Analyzer_spec.rb @@ -15,60 +15,79 @@ require 'spec_helper' describe PostRunner::HRV_Analyzer do it 'should cleanup the input data' do - rri = [ 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.5, 0.3, - 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, - 0.3, 0.3, 0.1, 0.3, 0.3, 0.3, 0.3, 0.4, - 0.5, 0.3, 0.3, 0.2, 0.3, 0.3, 0.3, 0.3 ] + rri = [ 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 1.1, 0.6, + 0.6, 0.8, 0.6, 0.61, 0.59, 0.6, 0.6, 0.6, + 0.6, 0.6, 0.2, 0.6, 0.6, 0.6, 0.6, 0.5, + 0.6, 0.6, 0.6, 1.3, 0.6, 0.6, 0.6, 0.6 ] hrv = PostRunner::HRV_Analyzer.new(rri) - rro = [ 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, nil, 0.3, - 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, - 0.3, 0.3, 0.1, 0.3, 0.3, 0.3, 0.3, 0.4, - nil, 0.3, 0.3, 0.2, 0.3, 0.3, 0.3, 0.3 ] - expect(hrv.rr_intervals).to eql(rro) expect(hrv.errors).to eql(2) - ts = [ 0.3, 0.6, 0.9, 1.2, 1.5, 1.8, 2.3, 2.6, - 2.9, 3.2, 3.5, 3.8, 4.1, 4.4, 4.7, 5.0, - 5.3, 5.6, 5.7, 6.0, 6.3, 6.6, 6.9, 7.3, - 7.8, 8.1, 8.4, 8.6, 8.9, 9.2, 9.5, 9.8 ] + ts = [ 0.0, 0.6, 1.2, 1.8, 2.4, 3.0, 3.6, 4.7, + 5.3, 5.9, 6.7, 7.3, 7.9, 8.5, 9.1, 9.7, + 10.3, 10.9, 11.5, 11.7, 12.3, 12.9, 13.5, 14.1, + 14.6, 15.2, 15.8, 16.4, 17.7, 18.3, 18.9, 19.5 ] hrv.timestamps.each_with_index do |v, i| expect(v).to be_within(0.01).of(ts[i]) end expect(hrv.has_hrv_data?).to be false - expect(hrv.rmssd).to be_within(0.01).of(63.828) + expect(hrv.rmssd).to be_within(0.00001).of(124.81096817899) end it 'should compute an HRV Score' do - rri =[ - 0.834, 0.794, 0.789, 0.792, 0.8, 0.795, 0.789, 0.785, 0.783, - 0.778, 0.737, 0.711, 0.705, 0.717, 0.755, 0.827, 0.885, 0.888, 0.86, - 0.832, 0.808, 0.755, 0.722, 0.708, 0.693, 0.728, 0.767, 0.838, 0.875, - 0.888, 0.865, 0.797, 0.75, 0.729, 0.708, 0.733, 0.754, 0.791, 0.803, - 0.788, 0.76, 0.732, 0.748, 0.754, 0.781, 0.794, 0.787, 0.779, 0.744, - 0.716, 0.703, 0.7, 0.731, 0.808, 0.793, 0.787, 0.74, 0.716, 0.720, - 0.724, 0.76, 0.785, 0.817, 0.793, 0.76, 0.741, 0.733, 0.754, 0.785, - 0.813, 0.833, 0.814, 0.794, 0.78, 0.775 + rri = [ + 0.837, 0.831, 0.843, 0.867, 0.788, 0.984, 0.872, 0.891, 0.878, 0.864, + 0.844, 0.818, 0.798, 0.791, 0.808, 0.866, 0.927, 0.951, 0.958, 0.943, + 0.613, 1.2, 0.884, 0.884, 0.878, 0.873, 0.867, 0.875, 0.872, 0.871, + 0.892, 0.943, 1.185, 0.788, 1.255, 0.636, 0.901, 0.896, 0.9, 0.915, + 0.698, 1.148, 0.894, 0.872, 0.85, 0.86, 0.893, 0.941, 0.692, 1.233, + 0.981, 0.926, 0.93, 0.928, 0.928, 0.93, 1.158, 0.68, 0.877, 0.915, + 0.926, 0.933, 0.933, 0.924, 0.681, 1.133, 0.901, 0.892, 0.887, 0.877, + 0.732, 0.968, 0.826, 0.824, 0.865, 0.905, 0.915, 0.935, 0.932, 0.924, + 0.915, 0.945, 0.96, 0.963, 0.939, 0.92, 0.892, 0.669, 1.037, 0.806, + 0.818, 0.847, 0.879, 0.922, 0.938, 0.952, 0.969, 1.018, 1.03, 1.004, + 0.98, 0.948, 0.919, 0.894, 0.896, 0.905, 0.913, 0.925, 0.905, 0.879, + 0.855, 0.857, 0.866, 0.878, 0.881, 0.884, 0.873, 0.857, 0.851, 0.864, + 0.883, 0.895, 0.898, 0.898, 0.876, 0.853, 0.841, 0.85, 0.857, 0.852, + 0.861, 0.867, 0.869, 0.858, 0.844, 0.856, 0.869, 0.879, 0.886, 0.89, + 0.876, 0.857, 0.843, 0.839, 0.838, 0.843, 0.845, 0.856, 0.856, 0.85, + 0.838, 0.842, 0.844, 0.842, 0.834, 0.832, 0.818, 0.81, 0.801, 0.78, + 0.797, 0.816, 0.838, 0.85, 0.845, 0.841, 0.84, 0.837, 0.859, 0.874, + 0.89, 0.896, 0.893, 0.879, 0.863, 0.855, 0.87, 0.875, 0.861, 0.854, + 0.843, 0.836, 0.822, 0.813, 0.806, 0.81, 0.824, 0.834, 0.847, 0.867, + 0.877, 0.883, 0.877, 0.856, 0.872, 0.88, 0.87, 0.861, 0.855, 0.852, + 0.84, 0.832, 0.82, 0.827, 0.838, 0.854, 0.881, 0.893, 0.857 ] + hrv = PostRunner::HRV_Analyzer.new(rri) - expect(hrv.rmssd).to be_within(0.00001).of(29.59341) - expect(hrv.ln_rmssd).to be_within(0.00001).of(3.38755) - expect(hrv.hrv_score).to be_within(0.00001).of(32.50346) + expect(hrv.data_quality).to be_within(0.00001).of(100) + expect(hrv.ln_rmssd(0.0, 90)).to be_within(0.00001).of(5.188390931) + expect(hrv.ln_rmssd(90, 90)).to be_within(0.00001).of(2.549616730) + expect(hrv.rmssd(0.0, 90)).to be_within(0.00001).of(179.1800079) + expect(hrv.hrv_score(0.0, 60)).to be_within(0.00001).of(100.0) end it 'should find the right interval for a HRV score computation' do - rri =[ - 0.999, 0.989, 0.998, 0.989, 0.997, 0.989, 0.999, 0.997, 0.999, - 0.834, 0.794, 0.789, 0.792, 0.8, 0.795, 0.789, 0.785, 0.783, - 0.778, 0.737, 0.711, 0.705, 0.717, 0.755, 0.827, 0.885, 0.888, 0.86, - 0.832, 0.808, 0.755, 0.722, 0.708, 0.693, 0.728, 0.767, 0.838, 0.875, - 0.888, 0.865, 0.797, 0.75, 0.729, 0.708, 0.733, 0.754, 0.791, 0.803, - 0.788, 0.76, 0.732, 0.748, 0.754, 0.781, 0.794, 0.787, 0.779, 0.744, - 0.716, 0.703, 0.7, 0.731, 0.808, 0.793, 0.787, 0.74, 0.716, 0.720, - 0.724, 0.76, 0.785, 0.817, 0.793, 0.76, 0.741, 0.733, 0.754, 0.785, - 0.813, 0.833, 0.814, 0.794, 0.78, 0.775, - 0.997, 0.989, 0.999, 0.998, 0.999, 0.997 + rri = [ + 0.752, 0.759, 0.755, 0.741, 0.733, 0.738, 0.751, 0.767, 0.774, 0.777, + 0.771, 0.787, 0.795, 0.805, 0.797, 0.78, 0.77, 0.764, 0.766, 0.771, + 0.764, 0.763, 0.776, 0.777, 0.785, 0.78, 0.768, 0.757, 0.745, 0.737, + 0.724, 0.709, 0.695, 0.699, 0.703, 0.719, 0.726, 0.73, 0.733, 0.739, + 0.744, 0.744, 0.738, 0.725, 0.713, 0.706, 0.705, 0.7, 0.694, 0.697, + 0.706, 0.716, 0.728, 0.73, 0.731, 0.742, 0.748, 0.742, 0.733, 0.731, + 0.729, 0.727, 0.712, 0.712, 0.715, 0.712, 0.706, 0.707, 0.729, 0.762, + 0.773, 0.768, 0.78, 0.78, 0.771, 0.75, 0.736, 0.719, 0.704, 0.69, 0.683, + 0.688, 0.703, 0.732, 0.742, 0.751, 0.758, 0.783, 0.786, 0.764, 0.752, + 0.733, 0.722, 0.711, 0.694, 0.687, 0.69, 0.707, 0.722, 0.732, 0.761, + 0.783, 0.805, 0.795, 0.779, 0.76, 0.744, 0.726, 0.707, 0.692, 0.688, + 0.694, 0.695, 0.708, 0.729, 0.761, 0.776, 0.787, 0.799, 0.795, 0.773, + 0.755, 0.738, 0.721, 0.71, 0.701, 0.692, 0.698, 0.712, 0.73, 0.736, + 0.732, 0.722, 0.72, 0.712, 0.709, 0.695, 0.687, 0.688, 0.684, 0.687, + 0.685, 0.685, 0.684, 0.689, 0.705, 0.716, 0.712, 0.71, 0.732, 0.75, + 0.755, 0.757, 0.758, 0.759, 0.753, 0.748, 0.748, 0.724, 0.715, 0.721, + 0.727, 0.743, 0.741, 0.743, 0.757, 0.765, 0.774, 0.781, 0.77, 0.745, + 0.729, 0.707 ] hrv = PostRunner::HRV_Analyzer.new(rri) - expect(hrv.one_sigma(:hrv_score)).to be_within(0.00001).of(32.12369) + expect(hrv.hrv_score).to be_within(0.00001).of(0.0) end end |