Skip to content

Universal Vitals Project #17

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
dancrissco wants to merge 1 commit into
base: main
Choose a base branch
from
Open

Universal Vitals Project #17

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
14 changes: 14 additions & 0 deletions projects/bluetooth/Universal Vitals Project
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -0,0 +1,14 @@
Concept Summary
The Research Platform demonstrates how a single low-power Seeed XIAO MG24 Sense module—with its integrated 6-axis IMU, analog microphone, BLE, and Cortex-M33 MCU—can serve as a versatile edge device for health, wellness, and industrial safety, reliability monitoring.
All five applications share the same sensing, wireless, and data-logging framework while differing only in firmware logic and analytics.
This was developed as part of a course in Medical Device Diagnostics Design and Manufacturing. The first lecture on this was delivered on October 20 at the St.Louis University, MO.
The project was originally started to encourage my LinkdIn followers to participate in the XIAO Competition.
Each module was presented in my LinkdIn posts to showcase and encourage.
The Basic Pack is designed for quick prototyping of Medical Device concepts for University Students.
Applications Demonstrated
Module Purpose Key MG24 Sense Features Used Output Visualization
1 Fall Detection Detect sudden posture change or impact for elderly safety IMU (accel + gyro) Alert via BLE / MQTT → Node-RED dashboard
2 Equipment Vibration Monitor Identify abnormal vibration patterns in machines IMU (accel) + FFT analysis RMS vibration trend & threshold alarm
3 Heart Rate Monitor Derive heart-rate signal from subtle body motions or surface vibrations Mic + low-freq IMU envelope Real-time BPM gauge on GUI
4 Gait Analysis Assess step symmetry & stability using multiple nodes IMU fusion across sensors Step-phase plot & asymmetry index
5 Sleep Monitoring Detect restlessness, position shifts, and respiration motion IMU (low freq band) Sleep-movement score and timeline