py-ecg-receiver

This repository is used to receive ecg recordings from the Sparks ECG Vest.

Execution

./record_ecg.py -v -h -n[--name] -s[--scantime] -r[--recordtime] -m[--mqtt] -t[--topic] -i[--influxdb] -b[--bluetooth]

• v : verbose output
• h : help output
• n : bluetooth name of the ecg device
• s : scan time for detecting the ecg device in seconds
• r : total duration of the recording in seconds
• m : mqtt address in the format of host:port
• t : mqtt topic prefix
• i : influxdb address in the format of scheme://host:port/database
• b : the bluetooth device to use e.g., hci0

Outputs

The data collected can be output to two sources:

• File
• MQTT
• InfluxDB

File Output

Using the file output each recording produces two files. One file (.ecg extension) contains the ECG recorded data and second file (.acc extension) contains the accelerometer data.

For the ecg file the contents are the following:

• Actual timestamp of the recording sample
• Time Since the beginning in ms
• 12 channel data
• avg_qrs
• avg_qrs_millis
• is_qrs
• Device Battery

For the accelerometer file the contents are the following:

• Time Since the beginning in ms
• X Y Z Acceleration
• X Y Z Gyroscope

MQTT Output

Using the MQTT output each recording produces new mqtt messages in two MQTT topics:

• {prefix}/{ecg_address}/ecg : with data regarding ECG information (in the format presented above)
• {prefix}/{ecg_address}/acc : with data regarding Accelerometer information (in the format presented

InfluxDB Output

Using the InfluxDB output each recording produces new entries in an InfluxDB database in the following fields:

• I,II,III,aVR,aVL,aVF,V1,V2,V3,V4,V5,V6 : the 12 ecg channels
• HR : the recorded heartrate
• RR : the recorded RR interval
• STATE : the state of the ECG recording

Logging

TBD