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Instead, they develop vendor-specific ECG data formats and ECG waveform encoding rules.
Now, a Bay Area startup called Cardiogram is using deep learning to detect arrhythmia by tracking ECG data over long periods of time.
ECG data was also recorded with a sampling rate of 2 KHz.
Polysomnographic data (EEG, EOG, EMG, and ECG data) was preprocessed according to established guidelines.
Heart rate was calculated from the ECG data by simply calculating the inverse of the R-R intervals.
Paired changes of skin conductance (SC), PETCO2, HR and the LF/HF ratio calculated from ECG data.
An approach to interpretation of the resulting ECG data from the trial is provided.
The study includes a comprehensive descriptive modeling of highly dimensional ECG data.
By using ECM, the adaptability of FECM to various ECG data sets has been strengthened.
The package is currently used by more than ten research groups analysing ECG data worldwide.
The collected ECG data can truly reflect the condition of human heart's health.
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