BodyGuardian Remote Monitoring System
Preventice Technologies, Inc. • Cardiovascular • 03/26/2020
Device Purpose
The BodyGuardian Remote Monitoring System aims to facilitate the detection and ongoing monitoring of cardiac arrhythmias in ambulatory adult and pediatric patients by collecting and transmitting a range of physiological data from various external sensors. Its methodology relies on a portable ECG unit acting as a data hub, which securely forwards information to healthcare professionals, with its performance and safety validated through extensive non-clinical testing including usability and biocompatibility assessments.
Summary
The BodyGuardian Remote Monitoring System is designed for ambulatory patients, including adults and children, to detect and monitor cardiac arrhythmias under the prescription of a healthcare professional. It operates in both clinical and non-clinical settings by collecting various physiological parameters from commercially available external devices such as ECG sensors, weight scales, blood pressure meters, and pulse oximeters. The system gathers data points including ECG, heart rate, body weight, temperature, respiration rate, blood pressure, and SpO2, transmitting this information to healthcare providers for ongoing monitoring and evaluation. It is important to note that this system is not intended for patients who need continuous, attended in-hospital monitoring for life-threatening arrhythmias, and it does not provide diagnoses. The system functions as a small, ambulatory cardiac monitor that records and transmits ECG data, also serving as a data hub for other connected peripheral devices. Data is sent to an external device or a remote server, allowing healthcare professionals to access and review the patient information. The device's design ensures compatibility with various commercially available health monitoring tools. Its reliability and safety were established through comprehensive non-clinical testing, which included electromagnetic compatibility (EMC), electrical and mechanical safety, system safety (including software verification and validation), performance, usability (including a pediatric usability study showing no new hazards or risks), and biocompatibility testing for patient contact materials. Quality assurance during development was maintained through Failure Mode Effects Analysis (FMEA) and adherence to relevant performance and safety standards.
AI Regulatory Concerns
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Keywords
Device Metadata
Relevant Clinical Questions
- Q1. What specific types of cardiac arrhythmias is the BodyGuardian system most effective at detecting and monitoring, and are there any known limitations in its detection algorithms for certain arrhythmia patterns?; How does the system ensure the integrity, security, and privacy of patient data during transmission from various external devices to the remote server and subsequent access by healthcare professionals?; What are the specifications and compatibility requirements for the 'commercially available, external plug-in devices' (e.g., ECG sensors, weight scales, BP meters, pulse oximeters) that can be integrated with the BodyGuardian system?; Could you elaborate on the findings from the pediatric usability study, particularly regarding any unique challenges or adaptations identified for monitoring pediatric patients compared to adults?; Given that the system collects multiple physiological parameters beyond ECG (e.g., weight, BP, SpO2, temperature, respiration rate), how are these integrated and presented to clinicians to provide a holistic view of the patient's condition, and does the system offer any correlational insights between these parameters and cardiac events?
Risk Classification
ESL AnalysisFDA Class II via 510(k) pathway; IEC 62304 Class C (software safety classification); Authorized before §524B enforcement
Learn how Parasoft automates IEC 62304 compliance testing →Cybersecurity Evidence
Powered by SBOMator™Based on AI-generated device summaries, not the full FDA submission. Items not detected here may still be present in the complete submission package.
Supply Chain BOM Evidence
Based on the CycloneDX / OWASP ECMA-424 xBOM ecosystem. Detection is from the AI-generated summary.
Analysis:
• Analysis is based on the AI-generated device summary, not the full FDA submission package. Click "Analyze Full FDA PDF" below to scan the actual submission document.
• Evidence of ML-BOM, SaaSBOM, HBOM detected in AI-generated device summary.
• This device was authorized before §524B took effect. Cybersecurity evidence requirements were less prescriptive at the time.
• Not detected in AI-generated device summary: SBOM, CBOM, VDR/VEX, OBOM. These may be present in the full FDA submission.
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