Implementing Test Automation Across the Medical Device Development Life Cycle for Medical Device Validation
March 3, 2026
Automated Medical Device Validation Using LabVIEW & NI DAQ for EMG-EIM Diagnostic Systems
March 12, 2026Implementing Test Automation Across the Medical Device Development Life Cycle for Medical Device Validation
March 3, 2026Automated Medical Device Validation Using LabVIEW & NI DAQ for EMG-EIM Diagnostic Systems
March 12, 2026Automated LabVIEW Testing for Accelerated CPAP/BiPAP Device Verification
1. Overview
A practical approach to medical device validation and software testing through a structured Verification & Validation (V&V) and automated testing architecture for a CPAP/BiPAP device, using LabVIEW as the test executive
The architecture demonstrates how structured healthcare application testing and automated verification frameworks can improve compliance, safety, and performance validation in regulated MedTech environments.
2. System Setup
2.1 Device Under Test (DUT)
The CPAP/BiPAP device under test consists of a blower driven by a BLDC motor, a closed-loop pressure control system, and comprehensive safety alarms with fault-handling mechanisms. Internally, the system uses I²C communication exclusively for device-level interfaces, where the pressure sensor and the BLDC motor controller communicate with the MCU.
An external UART interface is provided between the MCU and the LabVIEW test PC for test control, telemetry, diagnostics, and medical device software testing activities.
The MCU operates as the sole I²C master, ensuring deterministic communication, controlled fault injection, and an auditable system architecture suitable for medical device validation services, regulatory documentation, and structured healthcare application testing services.
3. LabVIEW-Based Automated Test Architecture
The LabVIEW-based automated test architecture enables scalable medical device validation, traceable test execution, and regulatory-aligned documentation for CPAP/BiPAP systems.
This structured automation approach supports both functional testing and usability risk testing of medical devices, ensuring that system responses, alarms, and safety mechanisms behave as intended under real-world and fault conditions.
4. Automated Test Coverage and Verification Method for Mission-Critical Component – Pressure Sensor
The automated verification of the pressure sensor covers accuracy and linearity across the operating pressure range, noise and resolution under steady-state conditions, drift behaviour over extended operation, and response to over-range and saturation scenarios. In addition, fault detection and corresponding alarm responses are verified.
For verification, LabVIEW compares pressure values acquired from an external reference pressure sensor through the NI DAQ against the internal pressure values reported by the MCU over UART. Based on predefined acceptance criteria, LabVIEW automatically evaluates the results and generates objective pass/fail decisions, with all raw data and outcomes logged for traceability.
This structured automation strengthens medical device validation services by ensuring objective data comparison, measurable acceptance criteria, and audit-ready reporting-all essential for compliant healthcare application testing services.
5. Automated Test Coverage and Verification Method for Mission-Critical Component - Blower Motor
The automated verification of the BLDC motor controller focuses on evaluating blower and motor performance under closed-loop pressure control. This includes verification of motor speed behaviour as a function of commanded pressure setpoints, and assessment of pressure ramp response and settling characteristics.
In addition, fault handling and recovery behaviour are verified by inducing representative motor and load fault conditions through test firmware and observing system response.
LabVIEW acquires motor RPM and fault status via the MCU over UART, correlates these parameters with externally measured pressure and flow where applicable, and automatically evaluates the results against predefined acceptance criteria to generate objective pass/fail outcomes with full data traceability.
Such automation enhances medical device software testing, strengthens medical device validation, and contributes to comprehensive usability risk testing of medical devices, particularly for life-support respiratory systems.
6. Summary
Using LabVIEW with a UART-based test interface and internal I²C communication provides a robust and scalable architecture for medical device validation and medical device software testing of CPAP/BiPAP hardware.
This approach enables accurate verification of pressure sensing, motor control, alarms, and safety behavior while maintaining clear system boundaries and supporting regulatory confidence.
It also demonstrates how advanced healthcare application testing, structured automation, and professional medical device validation services can support regulatory compliance, performance assurance, and patient safety in modern respiratory care systems.