Wheelodex » Projects » E2EPyPPG

E2EPyPPG

View on PyPI — Reverse Dependencies (0)

0.0.9 e2epyppg-0.0.9-py3-none-any.whl

Wheel Details

Project: E2EPyPPG
Version: 0.0.9
Filename: e2epyppg-0.0.9-py3-none-any.whl
Download: [link]
Size: 2326904
MD5: afca5a182452b9d8a220afcc9b026041
SHA256: 9fe5991ae3e06fbc02b71403fa4595b73bba83b08180e73531e56ad2f89ec8e3
Uploaded: 2024-03-12 11:54:07 +0000

dist-info

METADATA · WHEEL · RECORD

METADATA

Metadata-Version: 2.1
Name: e2epyppg
Version: 0.0.9
Summary: An End-to-End PPG processing pipeline: from quality assessment and motion artifacts romval to HR/HRV extraction
Author-Email: Mohammad Feli <mohammad.feli[at]utu.fi>, Iman Azimi <azimii[at]uci.edu>, Kianoosh Kazemi <kianoosh.k.kazem[at]utu.fi>, Yuning Wang <yuning.y.wang[at]utu.fi>
Maintainer-Email: Mohammad Feli <mohammad.feli[at]utu.fi>, Iman Azimi <azimii[at]uci.edu>, Kianoosh Kazemi <kianoosh.k.kazem[at]utu.fi>, Yuning Wang <yuning.y.wang[at]utu.fi>
Project-Url: Homepage, https://github.com/HealthSciTech/E2E-PPG
Project-Url: Issues, https://github.com/HealthSciTech/E2E-PPG/issues
License: MIT License
Keywords: HR,HRV,Heart rate,Heart rate variability,PPG,Peak detection,Photoplethysmography,Quality assessment,Signal reconstruction,Wearable devices
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.8
Requires-Dist: heartpy (>=1.2.7)
Requires-Dist: joblib (>=1.1.0)
Requires-Dist: more-itertools (>=10.1.0)
Requires-Dist: neurokit2 (>=0.2.1)
Requires-Dist: numpy (>=1.21.5)
Requires-Dist: pandas (>=1.4.4)
Requires-Dist: pyod
Requires-Dist: scikit-learn (>=1.0.2)
Requires-Dist: scipy (>=1.9.1)
Requires-Dist: tensorflow (>=2.10.1)
Requires-Dist: torch (>=1.9.1)
Description-Content-Type: text/markdown
License-File: LICENSE.txt
[Description omitted; length: 22342 characters]

WHEEL

Wheel-Version: 1.0
Generator: hatchling 1.21.1
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
e2epyppg/.gitignore sha256=s094NOqpoYkhuSHheA6Zwuye-cJHJJ47S17TqKXyj_E 78
e2epyppg/__init__.py sha256=fly1tWTxcKHAWUgJzFJ0bXW_3KEpEhqBn4R0lrLtTOc 29
e2epyppg/e2e_ppg_pipeline.py sha256=RO0GT-tCbJfitrqzJN0TCZPzog7I0tZ_O4O9nyru2g8 3380
e2epyppg/example.py sha256=FMJrlkgS6g1f7B2z1MwGUjB0zGP5GiwyWYSoSNHqsN4 857
e2epyppg/kazemi_peak_detection.py sha256=O9CF1q2PklOdHJG69AAAvswE9_Sz315BKWmsdMv4lEE 6493
e2epyppg/ppg_clean_extraction.py sha256=H0BHtJZt_d0s46TtdE-uFGAQ2e6jnm3mYtwYwvc-lIc 5382
e2epyppg/ppg_hrv_extraction.py sha256=gGWvuBdFhs-so-FrJzhpcAhvcXaK9v2Yb3tfCx9zx3Y 6681
e2epyppg/ppg_peak_detection.py sha256=fwyRUGwaYd4d7VzfB3lgKqbT0uH0oqaOCqv7iw1pHvA 6063
e2epyppg/ppg_reconstruction.py sha256=HlLS2w7AnsTov-vqTK50ji4IvhhHR_ujKr2hiHnD9F4 20771
e2epyppg/ppg_sqa.py sha256=7YXQ8O1PQSmutbgrKNjMxrIOMH6V8g3obpUHLVLm5h0 12686
e2epyppg/requirements.txt sha256=bwHhWh8Ci9SS6SgZmKx41rLTiW_cJIOEeIfaj62KRwQ 176
e2epyppg/utils.py sha256=4FfLbUkHyz5T_H4P4nZ_cbt1xdnKMlYeOCMzKB7-iKA 4367
e2epyppg/data/201902020222_Data.csv sha256=MK6TTDimHrCvdKEb9fkGrYlO00Pdt4cOj5hlzB1q4NY 1346042
e2epyppg/data/HRV__201902020222_Data.csv sha256=Vn6KyBWNEQtV5SB0NjjDdeZzoOLlFpX8fCrGj-8G2_U 2536
e2epyppg/models/GAN_model.pth sha256=7GjTwefYz04Ci_N7KHx7XGhqV09XS9ldC11lVMlAX-c 1859378
e2epyppg/models/OneClassSVM_model.sav sha256=KF42AeMy0uBmiiUP2d2loQtTeDF-RLFqBkgR5ViUM0s 508237
e2epyppg/models/Train_data_scaler.save sha256=qJix-Zgwh2GHTVXF2fEmlH0AvMp4Cbf6tusPfjbwEbs 767
e2epyppg/models/kazemi_peak_detection_model/saved_model.pb sha256=hUlIIGPr8WHHAgv_8MtLpKoTwrd0LIyXMRWgFBCh-4I 285448
e2epyppg/models/kazemi_peak_detection_model/variables/variables.data-00000-of-00001 sha256=m2M2wuxQvPvNOg6h5A5p_ln5NjzaIbDWxyROw3Grphc 47264
e2epyppg/models/kazemi_peak_detection_model/variables/variables.index sha256=wa6r-HXy7KX-VMKWalbi1W2awkqkNq0KSqB7QHcLa6o 3420
e2epyppg-0.0.9.dist-info/METADATA sha256=HAr8igPdcYBiS-TSU0zJVXYwkxKINkaYW44BHG1r0EA 23758
e2epyppg-0.0.9.dist-info/WHEEL sha256=TJPnKdtrSue7xZ_AVGkp9YXcvDrobsjBds1du3Nx6dc 87
e2epyppg-0.0.9.dist-info/licenses/LICENSE.txt sha256=9z1rA_exG5unBDJ0bHvQn_m6AkzuwjB3Q-k2__UHapQ 1132
e2epyppg-0.0.9.dist-info/RECORD — —