Inspiration
We were inspired to create a heat stroke warning and protection system for those who work in arduous conditions and suffer the most from extreme heat due to climate change.
What it does
The Anti-Heat Stroke device (HeatHero) has a prewarning system that alerts the user when the temperature reaches above 104F. The user can then check their pulse and make sure that they are not tachycardic, a common symptom of heat stroke.
How we built it
For the pre-warning system, we used a UNO Q chip and a Modulino Thermo, and programmed it to sense changes in the environmental temperature. Once it reached the threshold of a 104F, an active buzzer system sounds and alerts the user that the temperature is excessive. As previously mentioned, tachycardia is a disease where a person's bpm reaches above 100 bpm, or another symptom of heat stroke. To monitor the progression of this illness, we made a DIY electrocardiogram run through a computational low-pass filter in Arduino IDE, to estimate heart rate and measure Heart Rate Variability. When the user has multiple of the following, being in an outside temperature of 104 F, the user's BPM rises to at or above
Challenges we ran into
The Arduino Q had a lot of issues with connectivity as well as outdated documentation. The calls for the library and serial monitor were out of date, and it took a lot of trial and error to optimize our code.
Accomplishments that we're proud of
We are proud to have developed a working model that can actively collect data from the heart’s electrical signals. We are proud to have created a project that benefits laborers and farmworkers who are constantly exposed to excessive heat, yet have no means to take care of themselves.
What we learned
We learned that it can be difficult for sensors to filter out excessive noise, and that resistors and capacitors can be used together to create an RC filter circuit to improve signal quality.
What's next for 404 Not Found
HeatHero will be working to further develop and improve the electrodes so that we can eventually be able to filter out the excess noise recorded when measuring the heart's electrical signals, so we have a clearer sinusoidal wave
Built With
- applab
- arduino
- ide
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