data alignment -- 2
Budget: $30 – $250 USD
- To provide a platform for processing the signals captured by multiple wearable devices to support the data fusion applications, such as context-aware system, activity recognition and cuff-less blood pressure estimation.
- The signals and data collected by wearable devices include PPG signal, ECG signal, accelerometer signal, and heart rate.
- The processing methods include alignment, data quality assessment, data correction, and calibration.
- Align the data from multiple devices to the same timeline.
- Assess the quality of each signal or data and classify the “good” data and “bad” data.
- Correct “bad” data.
- Compare PPG-derived heart rate to the reference heart rate value from gold-standard device to obtain the calibration accuracy.
- Visualize the data streams and the processed results
Chest strap Polar H10: Polar-HR-Converted.csv
Chest strap CL-800: CL800-0306608-HR-Converted.csv
Wristband CL-831: CL831-0209464-HR-Converted.csv
Armband CL-880: CL880-0010674-HR-Converted.csv
- The signals and data collected by wearable devices include PPG signal, ECG signal, accelerometer signal, and heart rate.
- The processing methods include alignment, data quality assessment, data correction, and calibration.
- Align the data from multiple devices to the same timeline.
- Assess the quality of each signal or data and classify the “good” data and “bad” data.
- Correct “bad” data.
- Compare PPG-derived heart rate to the reference heart rate value from gold-standard device to obtain the calibration accuracy.
- Visualize the data streams and the processed results
Chest strap Polar H10: Polar-HR-Converted.csv
Chest strap CL-800: CL800-0306608-HR-Converted.csv
Wristband CL-831: CL831-0209464-HR-Converted.csv
Armband CL-880: CL880-0010674-HR-Converted.csv