IoT Health Monitoring System
A wearable vitals monitor that streams heart rate, SpO2 and temperature to a dashboard with threshold alerts.
Project overview
A wearable node measures pulse, blood oxygen saturation and body temperature, transmits readings to the cloud, and alerts a caregiver when a value crosses a configured threshold. A dashboard shows live values and history for review.
The engineering interest is in signal quality — filtering motion artefacts, discarding implausible readings, and deciding when a threshold crossing is real rather than noise.
Problem statement
Patients recovering at home and elderly people living alone are monitored only during periodic visits. A deterioration between visits goes unnoticed until it becomes an emergency.
Proposed solution
Sample vitals continuously on a low-power wearable, filter the signal on the device, transmit summarised readings rather than raw samples to save power and bandwidth, and apply alert rules in the cloud with a confirmation window to avoid false alarms.
Key features
- Continuous pulse and SpO2 measurement from an optical sensor
- Body temperature measurement with a contact sensor
- On-device filtering and rejection of implausible readings
- Configurable per-patient alert thresholds
- Alert confirmation window so a single spike does not trigger a call
- Caregiver notification by app, SMS or email
- History charts with daily and weekly views
- Battery level reporting and low-power sleep between samples
Technology stack
Hardware
Firmware
Cloud
Client
System architecture
The flow below is what goes into your architecture diagram and the corresponding chapter of the report.
- Sensor sampling runs in a timed loop with the display updated locally
- Filtering stage removes motion artefacts and out-of-range values
- Aggregation computes a stable value per interval instead of streaming raw samples
- Transmission publishes the summarised reading with a device and patient identifier
- Alert service evaluates thresholds with a confirmation window
- Dashboard renders live values, trends and the alert history
Expected output
- Working wearable prototype with a live dashboard
- Vitals history with daily and weekly trend charts
- Alert log with the triggering readings recorded
- Battery life measurement at the chosen sampling interval
Suitable branches, difficulty and duration
Documentation, review, demo and viva support
Documentation support
Abstract, problem statement, literature survey guidance, system architecture, ER and UML diagrams, module descriptions, test cases and screenshots — prepared in your department format.
Project review support
Delivery is split across your review calendar so review one has a design and plan, review two has working modules, and the final review has the integrated, tested system.
Demo support
A rehearsed demo path, seeded sample data, a reset script, and a recorded walkthrough kept as a backup in case something fails in the review room.
Viva preparation
A written question bank for this domain, a code walkthrough session, and practice at explaining each module in your own words — because the examiner will ask you.
Customisation options
Colleges reject duplicate topics, so most projects are adjusted before we start. These are the usual directions for this one.
- Add ECG capture with an AD8232 module for richer cardiac data
- Add fall detection using the accelerometer
- Add a medication reminder that pairs with the companion app
- Add anomaly detection that learns a patient's normal range over time
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Enquire about the IoT Health Monitoring System project
Send your branch, college and first review date. You will get confirmation of scope, what the customisation would look like, and a delivery plan mapped to your reviews.