-
HeartyPatch will be at Maker Faire NY !!
09/03/2017 at 14:43 • 0 commentsWe're very happy to be showing off HeartyPatch at the Maker Faire New York 2017 at the New York Hall of Science on September 23 and 24th, 2017. Come see us if you will be attending.
We will also be displaying HealthyPi for the first time. This is also ProtoCentral's first time exhibiting at Maker Faire and we're very excited !!
-
New HeartyPatch v2 files uploaded
08/20/2017 at 08:15 • 0 commentsThe board and schematic files for the new design have been updated on our Github repo: https://github.com/Protocentral/protocentral_heartypatch
-
We have a new board
08/18/2017 at 06:10 • 1 commentWe've been exploring different kinds of designs which are more wearable and smaller. Towards this end, we have a new PCB design. It’s not drastically different from the original design, but we’ve made some design optimizations here and there. Some of the major changes are:
- Got rid of the body temperature sensor, since this didn’t seem to add value to this application, although it is a great chip.
- Made the board smaller, optimizing the placement of the ECG electrode buttons.
- Added an RGB LED for providing more information than just on and off.
- We changed the color to white, just because it looked better.
-
Code Changes
07/22/2017 at 18:28 • 0 commentsWe have added the latest code for the HeartyPatch on Github. Check it out at https://github.com/Protocentral/protocentral_heartypatch.
Major changes:
- MAX30003 interrupt driven code for R-R detection, more accurate interval measurement
- Bluetooth Low Energy (BLE) support added for HeartyPatch. It now works with generic heart rate monitor apps also.
We have also added the source and the STL files for the HeartyPatch enclosure. Now, everything is open source !
And the enclosure files are available under in the "hardware" folder on our GitHub repo.
-
Analyzing HRV for Arrhythmia
07/20/2017 at 18:42 • 4 commentsSo now that we had a good way to measure the heart rate and the R-R interval variance, we wanted to put it to test and see if we can actually differentiate between normal rhythms and some common forms of Arrhythmias using the R-R intervals. What we found was quite promising.
For HRV analysis, we used Kubios (http://www.kubios.com/), a great piece of software to study heart-rate variability. This is commercial software, not open source, but they do have a version for "Personal use". Since this is an open source project, I'm assuming this would be fine. Please correct me if I'm wrong.
The Hookup
We connected the left-arm and right-arm electrodes of the HeartyPatch to two pins on an ECG simulator that can also do Arrhythmia simulation. Using Kubios, we looked at the Poincare plot (the actual variance between the current sample and the immediate preceding sample) and some spectral analysis (the result of an FFT). These are the results.
Here are the Poincare plots:
Results of the spectral analysis:
As you can see, there are noticeable patterns in both the poincare time-domain data as well as the frequency-domain data to differentiate between these 3 forms of Arrhythmia and a normal sinus rhythm.
Now, armed with this data, we can go into recognizing patterns when things go wrong, and even better, BEFORE things can go wrong. We are looking at using Tensorflow (https://www.tensorflow.org/) for creating a machine learning interface for predictive analysis. Of course, large amounts of data would be required to "train" this ML Network, and we're yet to figure out how.
Please let us know if you have any comments.
-
We've posted a video with some results
07/08/2017 at 14:44 • 0 commentsCheck out a video that we made with some initial data collection using the HeartyPatch device.
-
Code update
06/12/2017 at 10:50 • 0 commentsWe've updated the latest code for the HeartyPatch on Github (https://github.com/Protocentral/protocentral_heartypatch)
It's also planned to explore the use of Initial State (https://www.initialstate.com/) for the platform.
-
Check out our new entry
06/11/2017 at 11:17 • 0 commentsCheck out our latest project on Hackaday, also for open medical applications:
https://hackaday.io/project/25380-connected-health-open-source-iot-patient-monitor
-
A new enclosure
05/25/2017 at 18:22 • 1 commentWe now have a new enclosure, thanks to Thileepan (https://hackaday.io/TPN23).
The new enclosure looks better and feels better. Shown below is the same enclosure, 3D printed on a Makerbot Replicator 2.
There's also a circular cut-out for the temperature sensor contact. The same buttons used for the electrode connections are reversed and stuck on the temperature sensor using thermally conductive glue, that is also electrically insulating.
The new enclosure fits snugly with the body and give great electrode contact.
The Sketchup designs and the STL files will be put up on Thingiverse shortly and link will be posted to this page.
-
BOM is here
05/25/2017 at 17:39 • 0 commentsWe have our entire BOM online at FindChips: https://www.findchips.com/org/10/list/32829-pcheartypatchsch, lots of cool features and great place to store BOMs.