From 44c90db6f07d06764732787445f2266616270758 Mon Sep 17 00:00:00 2001 From: dancrissco <37241243+dancrissco@users.noreply.github.com> Date: Fri, 24 Oct 2025 15:16:51 -0400 Subject: [PATCH] Add Universal Vitals Project documentation This document outlines the Universal Vitals Project, detailing its concept, applications, and key features of the Seeed XIAO MG24 Sense module used for health and safety monitoring. --- projects/bluetooth/Universal Vitals Project | 14 ++++++++++++++ 1 file changed, 14 insertions(+) create mode 100644 projects/bluetooth/Universal Vitals Project diff --git a/projects/bluetooth/Universal Vitals Project b/projects/bluetooth/Universal Vitals Project new file mode 100644 index 0000000..eeee37a --- /dev/null +++ b/projects/bluetooth/Universal Vitals Project @@ -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