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BodyGuardian Remote Monitoring System

Preventice Technologies, Inc. • Cardiovascular • 03/26/2020

510(k)IEC 62304 Class C
FDA Summary PDF

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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Jev reads the full FDA letter and returns calibrated concern probabilities per regulatory category. These are AI estimates, not regulatory advice.

Keywords

Remote MonitoringCardiac ArrhythmiaAmbulatory PatientsECG MonitoringPhysiological ParametersData TransmissionPediatric UseNon-Clinical SettingExternal SensorsHealth Data Hub

Device Metadata

Submission Number
K192732
Company
Preventice Technologies, Inc.
Panel
Cardiovascular
Product Code
N/A
Data Type
Signals
Clinical Function
Assessment
AI Function
Analysis
AI Subclass
detection

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 Analysis
FDA Device ClassII

FDA Class II via 510(k) pathway; IEC 62304 Class C (software safety classification); Authorized before §524B enforcement

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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.

Cyber Score50/100
SBOM Evidence⚠ Not mentioned in summary
Cyber Risk Assessment✓ Detected in Summary
Postmarket Plan✓ Detected in Summary
§524B ApplicableNo

Supply Chain BOM Evidence

Based on the CycloneDX / OWASP ECMA-424 xBOM ecosystem. Detection is from the AI-generated summary.

SBOMSoftware Bill of Materials
- Not detected
ML-BOMMachine Learning Bill of Materials(algorithm)
✓ Detected
SaaSBOMSoftware-as-a-Service Bill of Materials(server, remote)
✓ Detected
HBOMHardware Bill of Materials(sensor)
✓ Detected
CBOMCryptography Bill of Materials
- Not detected
VDR/VEXVulnerability Disclosure Report / Vulnerability Exploitability eXchange
- Not detected
OBOMOperations Bill of Materials
- Not detected

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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BodyGuardian Remote Monitoring System - Preventice Technologies, Inc. | ESL FDA AI Device Intelligence