E2EPyPPG


NameE2EPyPPG JSON
Version 0.2 PyPI version JSON
download
home_pagehttps://github.com/HealthSciTech/E2E-PPG
SummaryEnd-to-End PPG processing pipeline: from quality assessment and motion artifacts romval to HR/HRV extraction
upload_time2023-11-29 16:01:58
maintainer
docs_urlNone
authorMohammad Feli, Iman Azimi, Kianoosh Kazemi, Yuning Wang
requires_python
licenseMIT
keywords ppg photoplethysmography quality assessment signal reconstruction peak detection heart rate hr heart rate variability hrv wearable devices
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            
            

Raw data

            {
    "_id": null,
    "home_page": "https://github.com/HealthSciTech/E2E-PPG",
    "name": "E2EPyPPG",
    "maintainer": "",
    "docs_url": null,
    "requires_python": "",
    "maintainer_email": "",
    "keywords": "PPG,Photoplethysmography,Quality assessment,Signal reconstruction,Peak detection,Heart rate,HR,Heart rate variability,HRV,Wearable devices",
    "author": "Mohammad Feli, Iman Azimi, Kianoosh Kazemi, Yuning Wang",
    "author_email": "mohammad.feli@utu.fi, azimii@uci.edu, kianoosh.k.kazem@utu.fi, yuning.y.wang@utu.fi",
    "download_url": "https://files.pythonhosted.org/packages/ee/4e/19f1ae57d88bc7c9ea633fda6c5f59715ac70dccb1019e408654c48615d5/E2EPyPPG-0.2.tar.gz",
    "platform": null,
    "description": "",
    "bugtrack_url": null,
    "license": "MIT",
    "summary": "End-to-End PPG processing pipeline: from quality assessment and motion artifacts romval to HR/HRV extraction",
    "version": "0.2",
    "project_urls": {
        "Download": "https://github.com/HealthSciTech/E2E-PPG/archive/refs/tags/v_02.tar.gz",
        "Homepage": "https://github.com/HealthSciTech/E2E-PPG"
    },
    "split_keywords": [
        "ppg",
        "photoplethysmography",
        "quality assessment",
        "signal reconstruction",
        "peak detection",
        "heart rate",
        "hr",
        "heart rate variability",
        "hrv",
        "wearable devices"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "ee4e19f1ae57d88bc7c9ea633fda6c5f59715ac70dccb1019e408654c48615d5",
                "md5": "138563146b60b02ca2574acd899eaaaf",
                "sha256": "29c8b9f9297a59459545abc745bcef6538079a844ded33c4af963e9f67bfea00"
            },
            "downloads": -1,
            "filename": "E2EPyPPG-0.2.tar.gz",
            "has_sig": false,
            "md5_digest": "138563146b60b02ca2574acd899eaaaf",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 18374,
            "upload_time": "2023-11-29T16:01:58",
            "upload_time_iso_8601": "2023-11-29T16:01:58.047130Z",
            "url": "https://files.pythonhosted.org/packages/ee/4e/19f1ae57d88bc7c9ea633fda6c5f59715ac70dccb1019e408654c48615d5/E2EPyPPG-0.2.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2023-11-29 16:01:58",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "github_user": "HealthSciTech",
    "github_project": "E2E-PPG",
    "travis_ci": false,
    "coveralls": false,
    "github_actions": false,
    "requirements": [],
    "lcname": "e2epyppg"
}
        
Elapsed time: 2.28663s