It was just three months back when I received the GSoC acceptance mail and here we are nearing the end of this productive summer already. This phase is the final one where we finish our projects and sign off Google Summer of Code 2017.
As mentioned in the previous post, there were a few couple of things remaining to be done in the Biometric Signal Sensor's Interface project.
The raw-data page was completely developed, which displays all the main biometrics collected in real-time. The include ECG, Respiration, Expiration, Minute Ventilation, and few more.
The raw data plots is also incorporated with the anomaly markers to indicate the corresponding anomaly caused. They are shown as inverted triangles, which are colour coded for easier recognition.
Secondly, Dipankar - my GSoC mate - was done with the final Anomaly Detection algorithms viz. Sleep Anomaly Detection and Respiration based Anomaly Detection.
This was integrated into the Tango Device Server and the Graphical User Interface was also updated to reflect these new anomaly detection algorithms.
The main part of any project, the Documentations, is present here in the form of README.md.
As mentioned in the previous post, there were a few couple of things remaining to be done in the Biometric Signal Sensor's Interface project.
The raw-data page was completely developed, which displays all the main biometrics collected in real-time. The include ECG, Respiration, Expiration, Minute Ventilation, and few more.
The raw data plots is also incorporated with the anomaly markers to indicate the corresponding anomaly caused. They are shown as inverted triangles, which are colour coded for easier recognition.
Secondly, Dipankar - my GSoC mate - was done with the final Anomaly Detection algorithms viz. Sleep Anomaly Detection and Respiration based Anomaly Detection.
This was integrated into the Tango Device Server and the Graphical User Interface was also updated to reflect these new anomaly detection algorithms.
The main part of any project, the Documentations, is present here in the form of README.md.
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