jabituyaben Goto Github PK
Name: Ben Jabituya
Type: User
Company: UNSC
Location: New York/Montana/India
Ben Jabituya's Projects
bangleapps
Bangle.js App Loader (and Apps)
banglejs-hrm-signal-processing
Python implementation of signal processing to extract HRV data. Uses scipy and hrvanalysis libraries
biopotential-recorder-ads1219
Arduino code for using the Major Input AFE breakout that records Biopotential data using the ADS1219 ADC
boxrec
retrieve information from BoxRec and return it in JSON format
brachiograph
BrachioGraph is an ultra-cheap (total cost of materials: €14) plotter that can be built with minimal skills.
dream_monocle
Turn the Circuit Playground Express into a lucid dream induction device
dreemeeg
realtime but kinda low quality EEG data export from the Dreem & Dreem 2 band
espruino-hrv
Getting Heart Rate Variability from Espruino based devices - in this case the Bangle.JS
featherpillow
code that accompanies the blog overview of my sleep tracker using the Feather M0 Adalogger with MikroE EEG Click
garminrrintervalrecorder
Companion tool to the HRV RR Interval recorder app that extracts RR intervals to a csv file for importing in other tools e.g. Kubios
gofast-gofurious
Reconstructing a Pentago UFO video in Unity
hrvanalysis
Package for Heart Rate Variability analysis in Python
kepler-planet-orbits-js
Keplerian Elements for Approximate Positions of the Major Planets
linedraw
Convert images to vectorized line drawings for plotters.
mindmonitorpython
Mind Monitor OSC Streaming Python Samples
muse-lsl
Python script to stream EEG data from the muse 2016 headset
musedataprocessing
convert RAW EEG data from Mind Monitor/Muse headband to a WAV for viewing in spectrogram tools
openngc
A license friendly NGC/IC objects database
opensleep
platform for sleep hacking and research
ourbasis
resurrecting Basis B1 & Peak watches
sleep-awake-classifiation-using-ppg
PyTorch implementation of sleep-stage classifier using photoplethysmography (PPG) data.
spectrogram
.NET library for creating spectrograms
steelball
Turn the Bangle.JS into a Hypnagogia alarm - based on Edison's steel ball technique
tinysleepnet
TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG by Akara Supratak and Yike Guo from The Faculty of ICT, Mahidol University and Imperial College London respectively
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