Development of a Wireless Biomedical Data Acquisition System for Remote Patient Monitoring

The client requires a reliable, easy-to-operate wireless system for collecting high-quality biomedical signals, such as EEG, in a home or remote environment. The existing solutions are bulky, require complex setup, and lack seamless integration with mobile management applications, limiting the scope for at-home diagnostics, especially for vulnerable populations like children and elderly patients. The need for non-stressful, accurate, and portable monitoring solutions is critical to improve patient comfort and diagnostic efficacy.

A mid-sized medical device manufacturer specializing in portable diagnostic solutions for remote health assessment services.

• Design a compact, lightweight wireless device capable of high-fidelity biomedical signal acquisition, including EEG.
• Develop a cross-platform mobile application (iOS and Android) for easy device management, data recording, and real-time monitoring.
• Enable multi-camera integration for capturing synchronized video footage to contextualize recorded signals.
• Implement robust wireless data transmission over WiFi/Bluetooth and support serial interface for flexible connectivity options.
• Ensure secure data transfer, storage, and compliance with healthcare data standards.
• Facilitate seamless uploading of collected data to a centralized server for further analysis and remote access.

• High-quality EEG signal acquisition with multi-channel support (e.g., ≥10 channels).
• Wireless connectivity options including WiFi and Bluetooth for flexible device operation.
• Compatibility with serial interfaces for legacy or additional hardware connections.
• Mobile application interface for device configuration, data collection, and live viewing.
• Support for synchronized video recording from multiple cameras, with frame transfer to the mobile app.
• Secure storage and transfer of sensitive health data, ensuring compliance with data privacy standards.
• Data upload capabilities to cloud or on-premise servers for remote access and analysis.
• User-friendly interface optimized for at-home use by non-technical caregivers or patients.

• Medical data standards (e.g., HL7, DICOM) for health data interoperability
• Cloud storage platforms or hospital EHR systems for data upload and retrieval
• Video capture devices capable of multi-source recording

• Real-time data acquisition with minimal latency (e.g., under 1 second).
• High signal fidelity and low noise levels to ensure diagnostic accuracy.
• Secure data transmission with end-to-end encryption compliant with healthcare privacy regulations.
• Device battery life supporting continuous operation for at least several hours.
• System reliability with 99.9% uptime for continuous remote monitoring.
• Scalability to support multiple concurrent devices and users.

The implementation of this wireless diagnostic data collection system aims to dramatically improve remote patient monitoring capabilities, reducing patient stress and logistical burdens. It is expected to increase the accuracy and reliability of at-home diagnostics, enabling earlier detection of neurological conditions. The scalable, user-friendly platform will facilitate broader adoption across healthcare providers, potentially reducing the need for in-clinic visits and lowering overall healthcare costs, with measurable improvements in patient outcomes and satisfaction.