Smart Portable Ventilator

//Smart Portable Ventilator

Smart Portable Ventilator

About the Product
Dysmech is proud to present its Smart Portable Ventilator, a cutting-edge solution designed to revolutionize respiratory care. This state-of-the-art device seamlessly integrates advanced ventilatory technology with user-friendly mobile applications, providing patients and healthcare providers with real-time monitoring and control. The Smart Portable Ventilator features adjustable settings for personalized respiratory support, ensuring optimal performance in various clinical scenarios. Its companion apps enable remote management and data analysis, offering valuable insights into patient progress and facilitating timely adjustments. With its compact design and intuitive interface, Dysmech’s Smart Portable Ventilator represents a significant advancement in portable respiratory care, enhancing both patient outcomes and convenience. CDSCO approval is not part of our services.
Client

Proma Health Care Systems, Mumbai

Specification
  • Microcontroller/Processor: Central processing unit that manages device operations, data processing, and communication with other components.
  • Sensors: Includes pressure sensors, flow sensors, and oxygen sensors to monitor and adjust respiratory parameters such as airflow, pressure, and oxygen levels.
  • Actuators: Components that control the movement of valves and other mechanical parts to regulate airflow and pressure.
  • Display Unit: A screen or interface that shows real-time data, settings, and alerts to the user or healthcare provider.
  • Battery Pack: Rechargeable battery or power source to ensure portability and extended use in various settings.
  • Communication Modules: Wi-Fi, Bluetooth modules for syncing data with mobile applications and enabling remote monitoring.
  • User Interface Controls: Buttons, dials, or touch screens that allow users to adjust settings and control the ventilator.
  • Enclosure: Durable, portable casing designed to protect internal components while maintaining compactness and ease of use.
  • Power Supply: Includes adapters or chargers for recharging the battery and powering the device.
  • Cooling System: Components to manage heat generated by the device, ensuring it operates within safe temperature limits.
Mobile Apps
  • Real-Time Monitoring: Display real-time data on ventilator performance, including airflow, pressure levels, and oxygen concentration.
  • Remote Control: Allow users or healthcare providers to adjust ventilator settings remotely, such as changing modes or parameters, without needing physical access to the device.
  • Alerts and Notifications: Send instant alerts for any deviations or malfunctions, such as low battery, high/low pressure, or other critical issues, ensuring timely intervention.
  • Data Logging: Record and store historical data on ventilator usage and patient respiratory metrics, which can be reviewed for trend analysis and patient assessment.
  • Customization Options: Enable users to set and save personalized profiles or settings for different patients or conditions, facilitating tailored respiratory care.
  • Remote Diagnostics: Provide tools for remote diagnostics and troubleshooting, allowing support teams to analyze device performance and resolve issues without on-site visits. (Under Development)
  • Integration with Health Records: Sync with electronic health records (EHR) or other medical record systems to integrate patient data and ventilator information for comprehensive care management. (Under Development)
Technology Used

Conceptual Design

  • CAD Software (Catia): For designing the physical components, such as the ventilator housing, mounting brackets, and airflow channels.

Hardware Development

  • Microcontrollers/Embedded Systems (STM32, ESP32, Arduino): For managing sensor data acquisition, control algorithms, and communication with mobile apps or cloud services.
  • Sensors and Measurement Modules:
    • Flow Sensors: To measure the airflow rate and ensure proper ventilation.
    • Pressure Sensors: To monitor airway pressure and adjust ventilation settings accordingly.
    • Oxygen Sensors: For measuring oxygen levels and ensuring the correct oxygen concentration in the ventilated air.
    • Temperature and Humidity Sensors: To monitor and control the environment to ensure comfort and safety.
  • Actuators and Motors: For controlling airflow and adjusting ventilation parameters based on sensor readings.
  • Communication Modules (Bluetooth, Wi-Fi): For transmitting data between the ventilator and mobile apps or cloud services.

Embedded Systems Development

  • Programming Languages (C/C++, Python): For developing firmware to handle data acquisition, control operations, and communication protocols.
  • Embedded Development Platforms (Arduino IDE): For coding, testing, and deploying firmware on microcontrollers.
  • Real-Time Operating Systems (RTOS): To manage real-time tasks such as sensor data processing and control algorithms.

Industrial Communication Protocols

  • Bluetooth: For low-energy communication between the ventilator and mobile app, allowing for remote control and monitoring.
  • Wi-Fi: For cloud connectivity, enabling data synchronization and remote access to ventilator performance and settings.
  • MQTT: A lightweight protocol for transmitting data to cloud services or remote monitoring systems.
  • HTTP/HTTPS: For secure communication with web-based dashboards and cloud services.

Signal Processing and Data Analytics

  • Digital Signal Processing (DSP): For accurate measurement and filtering of sensor data such as airflow, pressure, and oxygen levels.
  • Data Analytics (DA): Analyzing usage patterns, airflow efficiency, and performance metrics to optimize the ventilator’s operation and user experience.

Predictive Maintenance and Machine Learning (ML)

  • Predictive Maintenance Algorithms: Using ML models to predict when maintenance or part replacement is needed based on historical data and sensor readings, reducing downtime and extending product lifespan.
  • Anomaly Detection: Implementing ML models to detect deviations from normal operation, such as irregular airflow or pressure levels, which could indicate potential issues.
  • Usage Pattern Analysis: Leveraging historical data to understand user habits and optimize ventilator settings and performance.
  • Performance Optimization: Using ML to continuously improve the ventilator’s performance by adjusting parameters based on real-time data.

Mobile App Development

  • Development Frameworks (React Native): For building cross-platform or native mobile apps that allow users to monitor and control the ventilator remotely.
  • Backend Services Firebase): To manage user authentication, data synchronization, and cloud storage.
  • Bluetooth/Wi-Fi SDKs: For local communication between the mobile app and the ventilator.
  • UI/UX Design Tools (Figma): For designing user-friendly interfaces that display key information such as airflow settings, oxygen levels, and alerts.

Cloud Integration and Data Management

  • IoT Platforms (ThinkWorx, ThinksBoard): For managing device connectivity, data ingestion, and processing.
  • Real-Time Databases (Firebase Realtime Database,): For storing and querying real-time data related to ventilator performance and user settings.
  • Data Analytics Tools ( AWS QuickSight): For visualizing data, generating reports, and analyzing usage patterns.

Dashboard Development

  • Frontend Technologies (React.js, Angular): For creating web-based dashboards that provide comprehensive monitoring and control of the ventilator system.
  • Backend Technologies (Node.js, Python with Flask/Django): For handling data processing, API integration, and user management.
  • Data Visualization Libraries ( D3.js, Chart.js): For creating interactive charts and graphs that display performance metrics, usage patterns, and alerts.
  • Real-Time Communication Protocols (WebSocket): To ensure the dashboard displays up-to-date information with minimal delay.

Testing and Quality Assurance

  • Simulation Tools (Proteus): For simulating electronic circuits and validating sensor accuracy before hardware deployment.
  • Mobile App Testing Tools (Appium): For ensuring the mobile app functions correctly across different devices and platforms.
  • Field Testing: Deploying prototypes in real-world conditions to assess the performance, reliability, and user experience of the ventilator.
  • Hardware-in-the-Loop (HIL) Testing: For testing the integration of hardware and software in real-time conditions to ensure seamless operation.

Manufacturing and Assembly

  • PCB Design Software (Altium Designer, Eagle): For designing printed circuit boards that integrate electronic components for monitoring and control.
  • Surface Mount Technology (SMT): For assembling PCBs with precision and consistency.
  • 3D Printing and CNC Machining: For producing custom enclosures and mechanical parts that house and protect the electronics.
  • Compliance Testing: Ensuring the device meets medical and safety standards (e.g., CE, FDA) for safety, electromagnetic compatibility (EMC), and durability.
  • PCB Designing and Printing: Outsourced

Deployment and Maintenance

  • Over-the-Air (OTA) Updates: For remotely updating firmware and software to add features or fix issues without needing physical access to the device.
  • User Documentation and Training: Providing manuals, installation guides, and training materials to ensure proper use and maintenance.
  • Customer Support and Service: Offering ongoing support to address user issues and ensure the ventilator’s long-term reliability and effectiveness.