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Healthcare / Medical Devices
|US-Based Digital Health Startup|
18 months
8 engineers

Medical Wearable: FDA-Cleared Remote Patient Monitoring Device for Cardiac Care

End-to-end development of an FDA 510(k) cleared wearable ECG monitor with 14-day battery life, achieving 99.2% arrhythmia detection accuracy and enabling remote monitoring for 50,000+ cardiac patients.

FDA 510(k)
Cleared Device
99.2%
Arrhythmia Detection Accuracy
14 Days
Battery Life
50,000+
Patients Monitored
Medical Wearable: FDA-Cleared Remote Patient Monitoring Device for Cardiac Care - Rapid Circuitry embedded systems case study hero image

The Challenge

A US-based digital health startup needed to develop a medical-grade wearable ECG monitor that could continuously monitor cardiac patients for up to 14 days, detect arrhythmias in real-time, and achieve FDA 510(k) clearance for the US market.

Regulatory Compliance

The device needed to meet stringent FDA requirements including IEC 62304 software lifecycle, ISO 13485 quality management, and IEC 60601-1 electrical safety standards.

Impact: 18+ month typical timeline

Battery Life Requirements

Continuous ECG monitoring with BLE transmission required 14 days of operation on a single charge while maintaining a form factor acceptable for patient comfort.

Impact: < 30g weight target

Clinical-Grade Accuracy

The device needed to match or exceed Holter monitor accuracy for arrhythmia detection, with sensitivity and specificity targets above 95%.

Impact: Predicate device comparison

Cost Constraints

To enable wide deployment, the BOM cost needed to be below $35 at volumes of 100,000 units while meeting all medical-grade requirements.

Impact: $35 BOM target

Our Solution

We developed a complete medical-grade wearable ECG monitoring system including custom hardware, embedded firmware, mobile app, cloud platform, and all regulatory documentation required for FDA 510(k) clearance.

System Architecture

End-to-end medical IoT architecture designed for regulatory compliance, reliability, and scalability.

Wearable Device

  • Medical-grade analog front-end (AFE)
  • Ultra-low-power MCU with DSP
  • On-device arrhythmia detection
  • Bluetooth Low Energy 5.0 connectivity
  • Skin-friendly medical adhesive

Mobile Gateway

  • iOS and Android companion apps
  • Real-time ECG visualization
  • Offline data buffering
  • Patient symptom logging
  • Automatic cloud sync

Clinical Platform

  • HIPAA-compliant cloud infrastructure
  • AI-powered ECG analysis
  • Clinician dashboard
  • Alert management system
  • EHR integration (HL7 FHIR)

Custom Hardware Design

MCUnRF52840 (BLE 5.0, DSP capable)
AFEADS1292R (24-bit, medical-grade)
ElectrodesAg/AgCl dry electrodes
Battery180mAh Li-Poly (rechargeable)
Dimensions55mm x 25mm x 8mm
Weight18g (with adhesive)
ProtectionIP67, IEC 60601-1 certified

Firmware Architecture (IEC 62304 Class B)

  • FreeRTOS-based architecture with watchdog supervision
  • Real-time 256Hz ECG sampling with DMA
  • On-device R-peak detection and HRV calculation
  • QRS complex classification (normal, PVC, PAC)
  • BLE GATT service for ECG streaming
  • Encrypted firmware OTA updates
  • Comprehensive fault detection and logging
  • Battery management with 1% accuracy

On-Device AI for Arrhythmia Detection

We implemented a lightweight neural network on the device for real-time arrhythmia screening, with cloud-based analysis for detailed diagnosis.

Beat Classification

1D CNN (Convolutional Neural Network)

99.2% for VEB/SVEB detection

Atrial Fibrillation Detection

LSTM with attention mechanism

97.8% sensitivity, 98.5% specificity

< 2 second detection delay

Signal Quality Assessment

Random Forest classifier

96% noise/artifact detection

Implementation Timeline

Phase 1: Requirements & Architecture

8 weeks
  • User needs analysis and clinical workflow study
  • Regulatory strategy and predicate device analysis
  • System architecture and risk analysis
  • Design input documentation

Phase 2: Hardware Development

16 weeks
  • Analog front-end design and simulation
  • PCB layout (4-layer, flex-rigid)
  • 3 prototype iterations
  • IEC 60601-1 design verification

Phase 3: Firmware Development

20 weeks
  • IEC 62304 compliant software architecture
  • Real-time ECG acquisition and processing
  • BLE stack implementation
  • On-device ML model integration
  • Unit and integration testing (98% coverage)

Phase 4: Software Development

16 weeks
  • iOS and Android app development
  • Cloud platform development
  • Clinician dashboard
  • Cybersecurity implementation

Phase 5: Verification & Validation

12 weeks
  • Bench testing per IEC 60601-2-47
  • Clinical validation study (200 patients)
  • Usability testing
  • Biocompatibility testing

Phase 6: Regulatory Submission

6 weeks
  • 510(k) submission preparation
  • FDA review and response
  • Clearance received
  • CE Mark submission

Results & Impact

The device achieved FDA clearance on first submission and has since been deployed to monitor over 50,000 cardiac patients, with clinical outcomes significantly better than traditional Holter monitoring.

Arrhythmia Detection Accuracy

vs 94% for traditional Holter

Battery Life

vs 24-48 hours for competitors

Patient Compliance

vs 68% for chest-strap monitors

Time to FDA Clearance

vs industry avg 18-24 months

Manufacturing Cost

Below $35 target

Patients Monitored

First 18 months post-launch

Rapid Circuitry didn't just build us a device - they helped us navigate the complex regulatory landscape and delivered a product that exceeded our clinical requirements. The FDA clearance on first submission was remarkable.

CEO & Co-Founder

Client Digital Health Startup

Technologies Used

nRF52840ADS1292RFreeRTOSTensorFlow LiteBLE 5.0React NativeAWS HealthLakeHL7 FHIRPythonPostgreSQL

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