Showing 4 open source projects for "hrv"

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  • 1
    NOOP

    NOOP

    Pair your strap over Bluetooth, keep all data on your own device

    ...The app can read data such as heart rate, R-R intervals, temperature-related values, respiration signals, battery information, and events, depending on device support. It also imports WHOOP CSV exports, Apple Health exports, and nutrition CSV data to build a local history. NOOP computes metrics such as recovery, strain, HRV, sleep, workouts, trends, and correlations using transparent on-device analytics. It is an independent, unofficial interoperability project for users who want local-first access to their own wearable data.
    Downloads: 314 This Week
    Last Update:
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  • 2

    HRVAS Langer

    HRV, symbolic dynamics

    HRVAS_Langer is extension of the software Heart Rate Variability anaslysis software (HRVAS) created by Ramshur JT and witten in Matlab. Extensioned analysis are: symbol dynamics and time ireversibility - Port, Gruzik and Ehlers indexes. Before analysis all posibilitties of the HRVAS are preserved as detrending, atopic detection and replacement and automatic analysis in batch mode - analysis of multiple recordes one by another. After analysis results are exported into Excel file alowing...
    Downloads: 0 This Week
    Last Update:
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  • 3
    ECG2HRV

    ECG2HRV

    import and store ECG, associate to clinical data, automatic HRV

    http://www.youtube.com/watch?v=AOzpNMC-FXU This multi-platform application will enable the user to import digital CSV ECGs at any sampling rate and store them in an encrypted local DB along with relevant clinical data of the patient. It also performs automatic QRS complex detection and RR interval classification showing the output in a visual chart that the user can edit to correct sources with artifacts or pats with bad detections. This project was developed using Netbeans 7.3...
    Downloads: 0 This Week
    Last Update:
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  • 4
    Large set of functions for biological records (ECG, EEG, phono), datastore, datamining and analysis (HRV, QT, RR, ST). The application is written in Java, so that it is assumed to work on all devices. It runs as a desktop or client-server application. It
    Downloads: 0 This Week
    Last Update:
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