DL-Summary

1D Convolution

ConvNet(
  (layer1): Sequential(
    (0): Conv2d(1, 16, kernel_size=(1, 1), stride=(1, 1), padding=(2, 2))
    (1): BatchNorm2d(16, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
    (2): ReLU()
    (3): MaxPool2d(kernel_size=1, stride=2, padding=0, dilation=1, ceil_mode=False)
  )
  (layer2): Sequential(
    (0): Conv2d(16, 32, kernel_size=(1, 1), stride=(1, 1), padding=(2, 2))
    (1): BatchNorm2d(32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
    (2): ReLU()
    (3): MaxPool2d(kernel_size=1, stride=2, padding=0, dilation=1, ceil_mode=False)
  )
  (fc): Linear(in_features=32384, out_features=1, bias=True)
)

PPG : Testing MAE in epoch 0: 31.6828975677

ECG : Testing MAE in epoch 2: 13.1085653305

2D Convolution - Regression

ConvNet(
  (layer1): Sequential(
    (0): Conv2d(1, 16, kernel_size=(2, 2), stride=(1, 1), padding=(2, 2))
    (1): BatchNorm2d(16, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
    (2): ReLU()
    (3): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
  )
  (layer2): Sequential(
    (0): Conv2d(16, 32, kernel_size=(2, 2), stride=(1, 1), padding=(2, 2))
    (1): BatchNorm2d(32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
    (2): ReLU()
    (3): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
  )
  (fc): Linear(in_features=24192, out_features=1, bias=True)
)

2*1000 (PPG,ECG):

Testing MAE in epoch 0: 14.1100473404 
Testing MAE in epoch 1: 10.9254541397 
Testing MAE in epoch 2: 11.0664958954 
Testing MAE in epoch 3: 12.2975358963 
Testing MAE in epoch 4: 11.705947876 
Testing MAE in epoch 5: 16.016740799

3*1000 ( 1d ppg,ppg,ecg ):

Testing MAE in epoch 0: 15.6080379486 
Testing MAE in epoch 1: 14.3128414154 
Testing MAE in epoch 2: 13.9121770859 
Testing MAE in epoch 3: 20.9532432556 
Testing MAE in epoch 4: 13.8322229385 
Testing MAE in epoch 5: 14.0431118011 
Testing MAE in epoch 6: 14.9202299118 
Testing MAE in epoch 7: 20.2221775055

4*1000 ( 1d ppg,2d ppg,ppg,ecg) :

Testing MAE in epoch 0: 18.2435760498 
Testing MAE in epoch 1: 18.0854358673 
Testing MAE in epoch 2: 20.746389389 
Testing MAE in epoch 3: 17.8099918365 
Testing MAE in epoch 4: 16.5399646759 
Testing MAE in epoch 5: 16.4240570068 
Testing MAE in epoch 6: 16.7579402924 
Testing MAE in epoch 7: 18.7972831726 
Testing MAE in epoch 8: 19.9870376587

5 * 1000 ( 1d, 2d , ppg, ecg, ecg1d ):

Testing MAE in epoch 0: 16.293088913 
Testing MAE in epoch 1: 15.7555627823 
Testing MAE in epoch 2: 15.0539445877 
Testing MAE in epoch 3: 14.9331197739 
Testing MAE in epoch 4: 15.4364147186 
Testing MAE in epoch 5: 16.0663318634 
Testing MAE in epoch 6: 20.8251132965 
Testing MAE in epoch 7: 17.1887378693 
Testing MAE in epoch 8: 19.0004119873

2D Convolution - Classification 

ConvNet(
  (layer1): Sequential(
    (0): Conv2d(1, 4, kernel_size=(1, 1), stride=(1, 1), padding=(1, 1))
    (1): BatchNorm2d(4, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
    (2): ReLU()
    (3): MaxPool2d(kernel_size=2, stride=1, padding=0, dilation=1, ceil_mode=False)
  )
  (layer2): Sequential(
    (0): Conv2d(4, 8, kernel_size=(1, 1), stride=(1, 1), padding=(1, 1))
    (1): BatchNorm2d(8, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
    (2): ReLU()
    (3): MaxPool2d(kernel_size=2, stride=1, padding=0, dilation=1, ceil_mode=False)
  )
  (fc1): Linear(in_features=32064, out_features=32, bias=True)
  (fc2): Linear(in_features=32, out_features=7, bias=True)
  (dropout): Dropout(p=0.3)
)

CNN + LSTM

ConvNet(
  (layer1): Sequential(
    (0): Conv2d(1, 32, kernel_size=(2, 2), stride=(1, 1), padding=(2, 2))
    (1): BatchNorm2d(32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
    (2): ReLU()
    (3): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
  )
  (layer2): Sequential(
    (0): Conv2d(32, 64, kernel_size=(2, 2), stride=(1, 1), padding=(2, 2))
    (1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
    (2): ReLU()
    (3): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
  )
  (lstm): LSTM(32256, 300, num_layers=5)
  (fc): Linear(in_features=300, out_features=1, bias=True)
)

VGGNet

VGG(
  (features): Sequential(
    (0): Conv2d(1, 64, kernel_size=(2, 2), stride=(1, 1), padding=(1, 1))
    (1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
    (2): ReLU(inplace)
    (3): Conv2d(64, 64, kernel_size=(2, 2), stride=(1, 1), padding=(1, 1))
    (4): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
    (5): ReLU(inplace)
    (6): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (7): Conv2d(64, 128, kernel_size=(2, 2), stride=(1, 1), padding=(1, 1))
    (8): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
    (9): ReLU(inplace)
    (10): Conv2d(128, 128, kernel_size=(2, 2), stride=(1, 1), padding=(1, 1))
    (11): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
    (12): ReLU(inplace)
    (13): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (14): Conv2d(128, 256, kernel_size=(2, 2), stride=(1, 1), padding=(1, 1))
    (15): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
    (16): ReLU(inplace)
    (17): Conv2d(256, 256, kernel_size=(2, 2), stride=(1, 1), padding=(1, 1))
    (18): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
    (19): ReLU(inplace)
    (20): Conv2d(256, 256, kernel_size=(2, 2), stride=(1, 1), padding=(1, 1))
    (21): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
    (22): ReLU(inplace)
    (23): Conv2d(256, 256, kernel_size=(2, 2), stride=(1, 1), padding=(1, 1))
    (24): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
    (25): ReLU(inplace)
    (26): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (27): Conv2d(256, 512, kernel_size=(2, 2), stride=(1, 1), padding=(1, 1))
    (28): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
    (29): ReLU(inplace)
    (30): Conv2d(512, 512, kernel_size=(2, 2), stride=(1, 1), padding=(1, 1))
    (31): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
    (32): ReLU(inplace)
    (33): Conv2d(512, 512, kernel_size=(2, 2), stride=(1, 1), padding=(1, 1))
    (34): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
    (35): ReLU(inplace)
    (36): Conv2d(512, 512, kernel_size=(2, 2), stride=(1, 1), padding=(1, 1))
    (37): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
    (38): ReLU(inplace)
    (39): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
    (40): Conv2d(512, 512, kernel_size=(2, 2), stride=(1, 1), padding=(1, 1))
    (41): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
    (42): ReLU(inplace)
    (43): Conv2d(512, 512, kernel_size=(2, 2), stride=(1, 1), padding=(1, 1))
    (44): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
    (45): ReLU(inplace)
    (46): Conv2d(512, 512, kernel_size=(2, 2), stride=(1, 1), padding=(1, 1))
    (47): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
    (48): ReLU(inplace)
    (49): Conv2d(512, 512, kernel_size=(2, 2), stride=(1, 1), padding=(1, 1))
    (50): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
    (51): ReLU(inplace)
    (52): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
  )
  (classifier): Linear(in_features=52224, out_features=7, bias=True)
)



MBP:

10.183 CNN+LSTM

9.99 CNN



multi tasking :

  • 4-8:

Testing SBP MAE in epoch 5: 11.7708444059

Testing DBP MAE in epoch 5: 11.6189854972

Testing MBP MAE in epoch 5: 10.0502758991


32-64

Testing SBP MAE in epoch 3: 11.6955885529

Testing DBP MAE in epoch 3: 10.9494872514

Testing MBP MAE in epoch 3: 9.98658756039


CNN+LSTM :

  • Testing SBP MAE in epoch 1: 11.6736565752
  • Testing DBP MAE in epoch 1: 11.4340030165
  • Testing MBP MAE in epoch 1: 10.3763672953



CNN+LSTM ( concat)


Data : 5012

Train : 4010 Validation : 751 , Test 251

Test Error :

Testing SBP MAE in epoch 16: 8.93824605922

Testing DBP MAE in epoch 16: 7.36548240716

Testing MBP MAE in epoch 16: 7.10596343792


WIth Dropout:

  • Testing SBP MAE in epoch 6: 8.82306955527
  • Testing DBP MAE in epoch 6: 6.76358661594
  • Testing MBP MAE in epoch 6: 6.5952244544 
ConvNet(
  (layer1): Sequential(
    (0): Conv2d(1, 32, kernel_size=(2, 2), stride=(1, 1), padding=(2, 2))
    (1): BatchNorm2d(32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
    (2): ReLU()
    (3): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
  )
  (layer2): Sequential(
    (0): Conv2d(32, 64, kernel_size=(2, 2), stride=(1, 1), padding=(2, 2))
    (1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
    (2): ReLU()
    (3): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
  )
  (lstm): LSTM(32256, 100, dropout=0.3)
  (fc): Linear(in_features=32356, out_features=32, bias=True)
  (fc2): Linear(in_features=32, out_features=3, bias=True)
)

ONLY CNN :

  • Test error :

Testing SBP MAE in epoch 5: 9.14265040084

Testing DBP MAE in epoch 5: 7.58416746515

Testing MBP MAE in epoch 5: 7.06223915005


ONLY LSTM:

  • Testing SBP MAE in epoch 4: 9.71111075425
  • Testing DBP MAE in epoch 4: 7.65124540303
  • Testing MBP MAE in epoch 4: 7.58125914457



BIDIR - LSTM:

  • Testing SBP MAE in epoch 7: 23.4271636557
  • Testing DBP MAE in epoch 7: 12.4541586727
  • Testing MBP MAE in epoch 7: 15.7304325595


W/O BN

Testing SBP MAE in epoch 8: 10.7198270159

Testing DBP MAE in epoch 8: 7.4166389559

Testing MBP MAE in epoch 8: 7.76070064736

Testing SBP RMSE in epoch 8: 12.7329051572

Testing DBP RMSE in epoch 8: 8.91143118653

Testing MBP RMSE in epoch 8: 9.36571219168


ECG only


Testing SBP MAE in epoch 5: 9.63861639696

Testing DBP MAE in epoch 5: 6.74095207743

Testing MBP MAE in epoch 5: 6.68417279231

Testing SBP RMSE in epoch 5: 12.0827513506

Testing DBP RMSE in epoch 5: 8.56408404265

Testing MBP RMSE in epoch 5: 8.31177659938

PPG only


Testing SBP MAE in epoch 9: 37.6904137425

Testing DBP MAE in epoch 9: 21.7064491183

Testing MBP MAE in epoch 9: 25.1823069837

Testing SBP RMSE in epoch 9: 38.9403688084

Testing DBP RMSE in epoch 9: 22.91971031

Testing MBP RMSE in epoch 9: 26.176342253


^ both are in 1d conv (separate custom loaders)


Single task learning


SBP, DBP and MAP alone (separate custom loaders)


SBP:

Testing SBP MAE in epoch 1: 9.20921452933

Testing SBP RMSE in epoch 1: 10.9460750906


DBP:

Testing SBP MAE in epoch 0: 6.96432075349

Testing SBP RMSE in epoch 0: 8.6160129139


MBP:


Testing SBP MAE in epoch 6: 8.03048498405

Testing SBP RMSE in epoch 6: 9.95760734495


Bi


Testing SBP MAE in epoch 9: 19.329994296

Testing DBP MAE in epoch 9: 8.62378072962

Testing MBP MAE in epoch 9: 10.9756524195

Testing SBP RMSE in epoch 9: 22.0452237873

Testing DBP RMSE in epoch 9: 10.5376519195

Testing MBP RMSE in epoch 9: 13.0806553046

Predictions :

('SBP', 96.896942, 97.501000000000005)
('DBP', 62.701004, 64.052999999999997)
('MBP', 74.083817, 75.2023333333333)
('SBP', 91.237938, 94.01100000000001)
('DBP', 57.461342, 64.864999999999995)
('MBP', 68.75103, 74.5803333333333)
('SBP', 108.49914, 93.437000000000012)
('DBP', 65.316406, 64.896000000000001)
('MBP', 79.54274, 74.409666666666695)
('SBP', 100.85528, 100.63)
('DBP', 61.526939, 56.656999999999996)
('MBP', 74.593353, 71.314666666666696)
('SBP', 95.870316, 97.444999999999993)
('DBP', 61.37999, 62.222000000000001)
('MBP', 72.588135, 73.963000000000008)
('SBP', 99.216064, 98.019999999999996)
('DBP', 62.598099, 61.542999999999999)
('MBP', 74.741005, 73.701999999999998)
('SBP', 104.98221, 91.126000000000005)
('DBP', 65.37252, 64.111000000000004)
('MBP', 78.542236, 73.116)
('SBP', 100.40561, 94.491)
('DBP', 64.158592, 61.701000000000001)
('MBP', 76.330353, 72.631)
('SBP', 93.987534, 91.554000000000002)
('DBP', 60.487644, 56.806000000000004)
('MBP', 71.360748, 68.388666666666694)
('SBP', 106.78629, 101.33)
('DBP', 66.275948, 60.829999999999998)
('MBP', 79.576515, 74.329999999999998)
('SBP', 108.16257, 97.527999999999992)
('DBP', 63.836189, 58.268999999999998)
('MBP', 78.484703, 71.355333333333306)
('SBP', 105.25806, 93.814999999999998)
('DBP', 62.350132, 54.568000000000005)
('MBP', 76.489754, 67.650333333333307)
('SBP', 103.35232, 104.0)
('DBP', 63.125721, 68.388000000000005)
('MBP', 76.415703, 80.258666666666699)
('SBP', 114.21339, 107.52)
('DBP', 77.657356, 55.457999999999998)
('MBP', 89.692909, 72.811999999999998)
('SBP', 103.40305, 97.879999999999995)
('DBP', 61.856785, 50.256)
('MBP', 75.455856, 66.130666666666698)
('SBP', 100.93256, 97.817000000000007)
('DBP', 60.731144, 67.387)
('MBP', 74.073685, 77.530333333333303)
('SBP', 98.34758, 95.517999999999986)
('DBP', 63.824509, 57.865000000000002)
('MBP', 75.069176, 70.415999999999997)
('SBP', 98.721771, 91.251000000000005)
('DBP', 58.535683, 51.366000000000007)
('MBP', 72.048531, 64.661000000000001)
('SBP', 107.35768, 99.305000000000007)
('DBP', 68.343124, 56.443000000000005)
('MBP', 81.33609, 70.730333333333306)
('SBP', 111.53582, 110.53)
('DBP', 74.468643, 74.359999999999999)
('MBP', 86.742188, 86.4166666666667)
('SBP', 109.24744, 97.448999999999998)
('DBP', 67.528023, 52.061000000000007)
('MBP', 81.513908, 67.190333333333299)
('SBP', 99.11692, 98.778999999999996)
('DBP', 59.225548, 53.829999999999998)
('MBP', 72.322769, 68.813000000000002)
('SBP', 104.53844, 113.34999999999999)
('DBP', 62.910042, 65.853999999999999)
('MBP', 76.627083, 81.686000000000007)
('SBP', 102.29425, 121.73999999999999)
('DBP', 67.066353, 68.97399999999999)
('MBP', 78.746536, 86.562666666666701)
('SBP', 109.41972, 119.54000000000001)
('DBP', 70.740799, 70.853000000000009)
('MBP', 83.336166, 87.082000000000008)
('SBP', 104.20013, 104.47)
('DBP', 66.41835, 57.071000000000005)
('MBP', 78.78669, 72.870666666666693)
('SBP', 103.84029, 103.27)
('DBP', 68.85392, 55.938000000000002)
('MBP', 80.194641, 71.715333333333305)
('SBP', 98.885056, 109.29000000000001)
('DBP', 65.675125, 71.251000000000005)
('MBP', 76.441597, 83.930666666666696)
('SBP', 105.61459, 102.29000000000001)
('DBP', 59.75819, 55.219999999999999)
('MBP', 74.955017, 70.909999999999997)
('SBP', 99.212296, 109.13)
('DBP', 64.925354, 57.693999999999996)
('MBP', 76.199173, 74.8393333333333)
('SBP', 103.93896, 122.31)
('DBP', 58.064293, 67.579999999999998)
('MBP', 73.312653, 85.823333333333295)
('SBP', 98.503723, 96.397000000000006)
('DBP', 61.757401, 52.993000000000002)
('MBP', 73.775879, 67.460999999999999)
('SBP', 102.42682, 100.58)
('DBP', 59.277264, 56.531000000000006)
('MBP', 73.492287, 71.213999999999999)
('SBP', 100.19037, 101.17)
('DBP', 60.194599, 58.891999999999996)
('MBP', 73.514633, 72.984666666666698)
('SBP', 99.384407, 97.613)
('DBP', 60.469688, 51.091999999999999)
('MBP', 73.226807, 66.59899999999999)
('SBP', 95.775841, 98.088999999999999)
('DBP', 55.345932, 56.802)
('MBP', 68.474129, 70.564333333333295)
('SBP', 103.90795, 106.97)
('DBP', 61.176674, 64.128999999999991)
('MBP', 75.391693, 78.409333333333308)
('SBP', 106.02979, 108.94)
('DBP', 61.704414, 68.996000000000009)
('MBP', 76.312096, 82.310666666666705)
('SBP', 102.55738, 115.2)
('DBP', 64.405411, 70.590000000000003)
('MBP', 77.052689, 85.459999999999994)
('SBP', 107.34373, 117.40000000000001)
('DBP', 64.199745, 76.844999999999999)
('MBP', 78.417259, 90.363333333333401)
('SBP', 95.68438, 99.195999999999998)
('DBP', 53.060963, 65.126000000000005)
('MBP', 67.127541, 76.482666666666702)
('SBP', 100.78669, 99.363)
('DBP', 63.187393, 64.222999999999999)
('MBP', 75.702515, 75.936333333333295)
('SBP', 93.899986, 100.81999999999999)
('DBP', 53.940342, 63.100000000000001)
('MBP', 67.159256, 75.673333333333304)
('SBP', 95.561172, 105.08)
('DBP', 53.996277, 64.346000000000004)
('MBP', 67.80706, 77.923999999999992)
('SBP', 104.92338, 89.917000000000002)
('DBP', 67.282028, 67.26100000000001)
('MBP', 79.529007, 74.813000000000002)
('SBP', 101.15999, 99.867000000000004)
('DBP', 58.511143, 64.108999999999995)
('MBP', 72.525574, 76.028333333333308)
('SBP', 88.969833, 83.802999999999997)
('DBP', 53.046455, 57.906000000000006)
('MBP', 64.941238, 66.538333333333298)
('SBP', 103.10333, 114.16)
('DBP', 64.933945, 69.793000000000006)
('MBP', 77.426964, 84.582000000000008)
('SBP', 104.28156, 122.52)
('DBP', 56.503448, 74.346000000000004)
('MBP', 72.30732, 90.403999999999996)
('SBP', 107.16099, 120.56999999999999)
('DBP', 66.004204, 76.640000000000001)
('MBP', 79.547485, 91.283333333333303)
('SBP', 108.0105, 123.90000000000001)
('DBP', 65.461884, 74.040999999999997)
('MBP', 79.533234, 90.6606666666667)
('SBP', 100.49429, 122.61)
('DBP', 62.516777, 73.768000000000001)
('MBP', 74.887444, 90.048666666666705)
('SBP', 102.47774, 115.5)
('DBP', 60.611954, 72.188000000000002)
('MBP', 74.523071, 86.625333333333302)
('SBP', 107.4384, 117.73999999999999)
('DBP', 73.875778, 71.436999999999998)
('MBP', 84.986153, 86.871333333333297)
('SBP', 108.37942, 122.83)
('DBP', 63.544479, 72.444999999999993)
('MBP', 78.420647, 89.239999999999995)
('SBP', 102.35738, 119.63)
('DBP', 62.649399, 72.834999999999994)
('MBP', 75.754494, 88.433333333333294)
('SBP', 101.89198, 116.43000000000001)
('DBP', 70.713623, 81.965000000000003)
('MBP', 80.801346, 93.453333333333305)
('SBP', 91.485992, 118.81)
('DBP', 60.041946, 81.055999999999997)
('MBP', 70.38588, 93.640666666666704)
('SBP', 99.132889, 99.74799999999999)
('DBP', 57.632118, 71.006)
('MBP', 71.272202, 80.586666666666702)
('SBP', 101.11507, 95.625)
('DBP', 60.070515, 66.603999999999999)
('MBP', 73.626717, 76.277666666666704)
('SBP', 102.55502, 99.414000000000001)
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('MBP', 76.642693, 67.076333333333295)
('SBP', 100.37844, 98.314999999999998)
('DBP', 64.931671, 56.886000000000003)
('MBP', 76.570129, 70.695666666666696)
('SBP', 105.11007, 107.95)
('DBP', 65.512634, 67.263000000000005)
('MBP', 78.790413, 80.825333333333305)
('SBP', 106.6657, 101.48)
('DBP', 64.082504, 59.493000000000002)
('MBP', 78.05397, 73.488666666666703)
('SBP', 99.498161, 95.334999999999994)
('DBP', 56.044128, 54.0)
('MBP', 70.47451, 67.778333333333308)
('SBP', 99.498161, 95.334999999999994)
('DBP', 56.044128, 54.0)
('MBP', 70.47451, 67.778333333333308)
('SBP', 98.669479, 100.79000000000001)
('DBP', 69.594444, 60.151000000000003)
('MBP', 79.119247, 73.697333333333304)
('SBP', 108.98965, 105.36)
('DBP', 67.063042, 53.388999999999996)
('MBP', 81.09861, 70.712666666666692)
('SBP', 108.29377, 113.54000000000001)
('DBP', 65.92141, 72.566999999999993)
('MBP', 79.958893, 86.224666666666693)
('SBP', 117.45385, 103.97)
('DBP', 73.42318, 58.984999999999999)
('MBP', 87.85717, 73.980000000000004)
('SBP', 107.68723, 110.0)
('DBP', 65.299103, 66.344999999999999)
('MBP', 79.159546, 80.896666666666704)
('SBP', 112.76665, 97.472000000000008)
('DBP', 71.657158, 55.931999999999995)
('MBP', 85.021759, 69.778666666666695)
('SBP', 110.18123, 99.34899999999999)
('DBP', 69.266365, 55.048999999999999)
('MBP', 82.79438, 69.815666666666701)
('SBP', 106.16322, 109.20999999999999)
('DBP', 62.39637, 62.468000000000004)
('MBP', 76.72551, 78.048666666666705)
('SBP', 105.08536, 101.78)
('DBP', 71.024178, 59.859999999999999)
('MBP', 82.223457, 73.8333333333333)
('SBP', 103.05917, 103.65000000000001)
('DBP', 63.682056, 60.505000000000003)
('MBP', 76.604034, 74.886666666666699)
('SBP', 102.68465, 98.975999999999999)
('DBP', 63.170883, 55.031999999999996)
('MBP', 76.251495, 69.680000000000007)
('SBP', 106.32717, 104.06)
('DBP', 70.387207, 66.563000000000002)
('MBP', 82.10627, 79.061999999999998)
('SBP', 96.997551, 94.756)
('DBP', 60.837124, 59.506)
('MBP', 72.805481, 71.256)
('SBP', 105.79714, 103.69)
('DBP', 58.949257, 70.659999999999997)
('MBP', 74.609459, 81.670000000000002)
('SBP', 96.820999, 101.84)
('DBP', 66.353226, 61.536000000000001)
('MBP', 76.324608, 74.970666666666702)
('SBP', 105.90015, 96.433999999999997)
('DBP', 62.163284, 60.658000000000001)
('MBP', 76.557556, 72.5833333333333)
('SBP', 106.83855, 100.42)
('DBP', 67.366608, 62.438999999999993)
('MBP', 80.494087, 75.099333333333306)
('SBP', 110.45943, 96.682000000000002)
('DBP', 65.612648, 63.063999999999993)
('MBP', 80.284515, 74.269999999999996)
('SBP', 101.26993, 103.93000000000001)
('DBP', 60.534233, 61.498000000000005)
('MBP', 74.095779, 75.641999999999996)
('SBP', 94.932289, 102.52)
('DBP', 55.444328, 59.446000000000005)
('MBP', 68.606934, 73.804000000000002)
('SBP', 108.42186, 100.75)
('DBP', 76.490158, 64.673999999999992)
('MBP', 86.830711, 76.6993333333333)
('SBP', 108.01239, 101.72)
('DBP', 60.176624, 63.786999999999999)
('MBP', 75.783722, 76.431333333333299)
('SBP', 109.33295, 113.76000000000001)
('DBP', 69.821701, 67.02600000000001)
('MBP', 82.833702, 82.603999999999999)
('SBP', 109.6023, 95.187000000000012)
('DBP', 72.609924, 61.641000000000005)
('MBP', 84.84362, 72.823000000000008)
('SBP', 111.73172, 94.167000000000002)
('DBP', 71.623466, 61.948999999999998)
('MBP', 85.281715, 72.688333333333304)
('SBP', 117.34231, 112.95999999999999)
('DBP', 79.192368, 72.016000000000005)
('MBP', 91.602959, 85.664000000000001)
('SBP', 84.098297, 103.91)
('DBP', 58.283096, 71.986000000000004)
('MBP', 66.857765, 82.627333333333297)
('SBP', 107.68173, 100.92)
('DBP', 69.303513, 71.396000000000001)
('MBP', 81.703354, 81.237333333333297)
('SBP', 101.49745, 105.91)
('DBP', 64.285416, 71.722999999999999)
('MBP', 76.429329, 83.118666666666698)
('SBP', 100.94439, 98.251000000000005)
('DBP', 65.434845, 74.075000000000003)
('MBP', 77.125908, 82.133666666666699)
('SBP', 110.55879, 109.69)
('DBP', 63.039413, 73.061999999999998)
('MBP', 78.835358, 85.271333333333303)
('SBP', 110.55879, 109.69)
('DBP', 63.039413, 73.061999999999998)
('MBP', 78.835358, 85.271333333333303)
('SBP', 107.85775, 117.29000000000001)
('DBP', 75.737801, 71.713999999999999)
('MBP', 86.276711, 86.906000000000006)