Important performance details can be difficult to observe
- Compression depth and rate
- Full chest recoil
- Pause and interruption time
- Hand placement and balance
- Consistency across a full session
Smart medical training technology
ResQ Smart CPR Training & Assessment System
Transforming conventional CPR manikins into intelligent, data-driven training systems through embedded sensing, local analytics, and real-time feedback.
RetrofitOffline-firstReal-time feedbackObjective assessmentPortableLow-cost
Local training readyInternet not required
Why ResQ exists
From subjective observation to measurable practice
Effective CPR practice needs timely, objective feedback. ResQ adds that capability without requiring institutions to replace every conventional manikin.
A retrofit sensing and local analytics platform
- Objective, real-time measurements
- Instructor and trainee dashboards
- Multi-manikin supervision
- Session history and review
- Portable, offline-first operation
End-to-end system
A complete local training loop
The time-sensitive path stays on the instructor’s local network. Optional cloud synchronization sits outside the critical training loop.
01 · ActionTrainee performs CPR
02 · SensePressure + Hall-effect sensing
03 · ProcessESP32-C3 firmware
04 · TransportLocal MQTT broker
05 · AnalyzeSpring Boot + SQLite
06 · CoachREST + SSE dashboards
Core capabilities
Built around the complete training workflow
Hardware, firmware, desktop orchestration, dashboards, and data are designed as one integrated system.
01
Retrofit manikin module
A sensor-equipped chest overlay adds instrumentation to conventional CPR training setups.
02
Real-time CPR metrics
Live compression depth, rate, recoil, interruption, count, and pressure-balance information.
03
Guided calibration
Readiness checks establish baselines and validate sensor behavior before scored training begins.
04
Instructor dashboard
Monitor connected manikins, readiness, sessions, and live trainee performance from one view.
05
Trainee dashboard
Live coaching cues and after-session review help learners understand where to improve.
06
Offline-first LocalHub
The core session workflow, persistence, and dashboards remain available without internet access.
07
Session analytics
Completed-session scoring, history, performance trends, and review are stored locally.
08
Structured export
Supported local export endpoints provide portable session data for review and analysis.
09
Under Active Development
Optional cloud sync
Queued synchronization is being developed as an enhancement, never a requirement for live training.
Live feedback
Training metrics made visible
Target ranges are configurable to align with the CPR training standard adopted by the institution.
Depth
In rangeLive mm
Rate
ContinuousLive cpm
Recoil
DetectedPer cycle
Complete and incomplete recoil events are recorded across the session.
Balance
CoachingPressure A/B
Pressure distribution supports hand-placement and balance feedback.
Offline-first by design
Internet is not required for live CPR training
Manikins communicate through local Wi-Fi and MQTT. The instructor PC runs the broker, Spring Boot backend, SQLite database, and dashboards inside the Tauri LocalHub environment.
- Local session continuity
- Local data ownership
- Browser-safe SSE updates
- Optional cloud sync when available
Development status
A working prototype with active refinement
Last reviewed against the repository on 26 September 2026. Status labels separate implemented work from validation and future development.
Hardware prototype
Working prototypeChest overlay, pressure sensing, Hall-effect sensing, controller, and custom electronics.
Firmware architecture
ImplementedESP-IDF state machine, configuration, connectivity, calibration, metrics, telemetry, and faults.
LocalHub
Release v1.2.0Tauri desktop host with bundled Java runtime, Mosquitto, Spring Boot, and local dashboards.
System integration
Validated in labEnd-to-end firmware, MQTT, backend, SSE, persistence, and UI paths have repository test evidence.
Medical evaluation
In progressSkills-lab engagement is documented; broader formal validation remains future work.
Cloud integration
Under Active DevelopmentSynchronization is optional and non-blocking. It is not presented as production-complete.
Recent project story
Built, tested, presented, refined
Development progressed from feasibility and sensing experiments to an integrated local training platform and public project recognition.
Hardware refinement and system validation
Custom electronics, firmware behavior, and the complete telemetry pipeline were tested together.
Working prototype presented
The integrated prototype demonstrated the connection between sensing, LocalHub, and live dashboards.
First place at EXITO 2026
ResQ received first place at the Inter-University Robotics & Innovation Challenge.
Project presentations
Follow the complete ResQ journey
Five presentation links document the project from early proposal through the overall integrated system.
Overall ResQ Presentation
The complete product, engineering, and validation story in one presentation.
View presentationMilestones 1–2
Proposal validation, early sensing work, MVP integration, and the first live demonstration.
Milestones 3–4
Working prototype refinement, validation, deployment, and final project communication.
Testing & validation
Evidence at every layer
Automated and physical testing are clearly separated. Formal clinical certification is not claimed.
FirmwareESP-IDF Unity and hardware tests
BackendJUnit, Mockito, Spring Boot Test
FrontendVitest and React Testing Library
IntegrationMQTT, SSE, session lifecycle, LAN
Recognition
Engineering with visible impact
Public milestones demonstrate the project’s technical execution, research relevance, and communication quality.
EXITO 2026
Inter-University Robotics & Innovation Challenge.
INNOVEXA 2026
Business pitching competition at the University of Peradeniya.
iPURSE 2026
Oral presentation at the international research symposium.
NetX IoT Challenge
Selected for the ten-team Grand Finale.
Designed for educators
Flexible enough for many training environments
ResQ is built for education, skills practice, supervised assessment, and engineering research—not patient care.
CPR instructors
Live supervision and objective session review.
University skills labs
Reusable training stations with local control.
First-aid programs
Portable feedback for structured practice.
Students & trainees
Immediate coaching and understandable results.
Open engineering project
Explore the people and code behind ResQ
Created by E/21 students from the Department of Computer Engineering, University of Peradeniya.