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The Perin Health Platform is a wireless remote monitoring system intended for use by healthcare professionals for spot check collection of physiological data in healthcare and home settings for long-term monitoring. The Perin Health Patch can monitor auscultation data of heart and lung sounds, photoplethysmography waveforms (PPG), oxygen saturation (%SpO2), heart rate, electrocardiography (ECG), heart rate variability, R-R interval, respiratory rate, skin temperature, activity detection (including step count), and posture (body position relative to gravity including fall).

The Perin Health System is intended for spot-checking and tracking changes of adult patients in hospitals, clinics, long-term care, and at home. In home-use environments, the Perin Health Platform is able to integrate with optional third-party devices for blood pressure, and weight data collection via the mobile application. The mobile application transmits data from the Health Patch and third party devices to the cloud and web-based portal for storage, analysis, and review by healthcare professionals. The Perin Health Platform can include the ability to notify healthcare professionals when physiological data falls outside set limits or manual trigger by the patient.

The device is intended to provide physiological information for non-critical, adult population.

The Perin Health System is a wireless remote patient monitoring platform that enables healthcare professionals to perform spot-checking and retrospective monitoring of physiological data from adult patients. The Perin Health System is designed for use in hospitals, clinics, long-term care facilities, physician offices, and home environments.

The Perin Health System comprises the following components:

1. Perin Health Patch wearable device
2. Perin Health Patient Mobile Application
3. Perin Health Cloud
4. Perin Health Provider Portal
5. Perin Health Inpatient Application

1. The Perin Health Patch
The Perin Health Patch is a chest-worn wearable device that performs scheduled spot-check measurements of multiple physiological parameters. Unlike continuous monitoring systems, the Perin Health Patch captures measurements at predetermined intervals configured by healthcare providers based on clinical need.

The device integrates six primary sensing modalities:

• Auscultation (heart and lung sounds)
• Electrocardiography (1-channel ECG)
• Pulse oximetry via photoplethysmography (PPG)
• Bioimpedance (BioZ) for respiratory monitoring
• Temperature sensing (skin)
• Motion and orientation detection via accelerometer

The combination of these modalities in a small, low-power wearable form allows for the spot-checking of primary vital signs:

• Heart rate and R-R intervals
• Heart rate variability (HRV) parameters
• ECG waveform data
• Auscultation sound data (heart and lung sounds)
• Respiratory rate
• Pulse (PPG) waveform
• Oxygen saturation (SpO2%)
• Skin temperature
• Fall detection events
• Body posture
• Activity level and step count

The device adheres to the patient's upper left chest at the second intercostal space with a medical-grade long-term wear adhesive. The adhesive is placed on the patient-facing side of the wearable, with cutouts for the sensors to make direct contact with the skin. The wearable device is lightweight and semi-flexible, allowing for the device to conform to the natural curvature of the chest. It is water resistant, allowing for bathing and normal activities while the patient is wearing the system.

The wearable communicates to the receiving unit (mobile phone) via an encrypted Bluetooth Low Energy connection. Measurements, all notifications and control commands, and software updates are transmitted over the BLE connection. The wearable uses Near Field Communication (NFC) to facilitate the Bluetooth pairing process with the mobile phone by simply having to tap their phone to the device to initiate a Bluetooth connection. The wearable device also contains on-board memory that can store over two weeks of spot-check data. When measurements are taken and no receiving unit is present, the wearable can store recordings in the onboard memory. Recordings are stored in a stack, such that at the next connection possibility between the wearable and the receiving unit, the most recent data will be transmitted first followed by other measurements in reverse chronological order.

Other key features of the wearable include:

• Customizable recording schedule set by the healthcare provider in their care program
• Replaceable battery
• Patient-triggered recordings via double-tap
• Signal quality indicators for measurement validation and identification of noisy measurements

2. The Patient Mobile Application
The Patient Mobile Application, available on iOS or Android platforms, is intended exclusively for use in home environments by patients under healthcare provider supervision. The application serves as a data relay and display interface, allowing the patient to complete key tasks, including onboarding, device setup, device communication, and patient-reported data.

The application serves as the primary interface between the Perin Health Patch and the cloud infrastructure, receiving spot-check measurements from the device and uploading them for provider review. The application establishes and manages secured BLE communication with the Health Patch. Given that the Health Patch operates on provider-configured recording schedules, the application manages data transfer in the background with minimal patient interaction required. When internet connectivity is unavailable, the application stores measurements locally until transmission becomes possible. The system also manages firmware updates for the Perin Health Patch.

The application integrates with FDA-cleared third-party blood pressure cuff and scale using BLE and transfers the data to the Cloud System. Healthcare providers determine which patients require the additional third-party device monitoring as part of their individualized care programs. The system also allows users to optionally enter manual data for blood pressure and weight if no third-party device is connected.

Patients are able to review their historical measurement data taken throughout their monitoring program and their goals and thresholds set by their providers. The patient can view metrics assigned within their care program:

• Heart Rate and Heart Rate Variability
• Respiratory Rate
• Oxygen Saturation
• Step Count
• Temperature
• Blood Pressure
• Weight

Patients can also select audio segments captured by the device for playback (no visualization).

The application provides comprehensive patient engagement features. Patients can complete customized questionnaires with up to 20 questions in various formats, review educational content delivered through their care programs, and submit non-critical medical reports to their care team. The reporting feature includes anatomical body mapping for location-specific symptoms, severity scaling, and photo attachment capabilities. The application supports secure messaging with care providers, virtual appointment attendance with waiting room functionality, and comprehensive offline operation with automatic synchronization upon connectivity restoration.

3. The Perin Health Cloud
The Perin Health Cloud infrastructure serves as the central hub for data management and processing. The cloud system receives encrypted spot-check data from relay systems and manages raw data processing (for Health Patch data only), storage, and retrieval of physiological measurements for retrospective clinical review. Algorithms are run in the cloud to process measurements from the Health Patch and generate Signal Quality Index, Heart Rate, Heart Rate Variability, Respiratory Rate, Oxygen Saturation, and Posture.

The alert and notification system enables healthcare professionals to configure multi-level alerts based on clinical parameters, technical issues, or manual patient triggers. Clinical alerts are based on provider-configured thresholds that are set in during the enrollment of a patient in a care program. The system supports complex notification rules including threshold exceedances, percentage changes, trending patterns, and consecutive violations. Alerts are displayed to providers for the purpose of highlighting data during their retrospective review and are not intended to support real-time patient monitoring or urgent care provider action.

The cloud infrastructure includes comprehensive audit logging of all user actions, data access, and system events. The system provides API access for integration with electronic health records with HL7 v2.x, HL7 FHIR R4, and other standard protocols, enabling bidirectional data exchange with major EHR systems.

4. The web-based Provider Portal
The web-based Provider Portal enables healthcare professionals to access and manage patient data and alert statuses remotely through any compatible web browser. Through the portal, providers can review spot-check measurements and historical trends, playback audio recordings of auscultation sounds captured by the Patch, configure individualized care programs, set measurement schedules and alert thresholds, and communicate with patients through various modalities.

Through the portal, providers can review spot-check measurements with customizable vital sign charts displaying trends over days, weeks, or months. Advanced visualization includes waveform analysis for ECG and PPG signals, audio playback for auscultation recordings, and comprehensive annotation tools. The portal displays signal quality indicators and out-of-range values with appropriate visual highlighting based on configured thresholds. The portal also displays patient severity levels (Low/Medium/High) based on the NEWS2 scoring methodology. Additional clinical measures, such blood pressure and weight, that are manually input into the EHR can be read into the Perin Health System and viewed in the Provider Portal using the EHR interface.

The system employs a structured care program architecture that ensures appropriate clinical oversight throughout the monitoring process. Healthcare organizations create standardized care program templates for common conditions. Individual providers can then select from these approved templates and customize them for specific patient needs, prescribing the specific devices needed, measurement frequencies appropriate to the condition, and recording schedules tailored to clinical requirements.

The portal includes comprehensive communication capabilities supporting both patient and care team interactions. Providers can conduct virtual appointments with integrated video calling, AI-powered real-time transcription using AWS HealthScribe, and automated clinical note generation structured into standard sections. The messaging system supports secure text communication with file attachments, while the task management system enables care coordination across team members. Providers can create and deploy customized questionnaires with various response types and scoring algorithms, manage educational content delivery, and review patient-submitted reports with collaborative response capabilities.

Additional portal features include appointment scheduling with EHR integration, comprehensive alert management with acknowledgment workflows, administrative functions for user and device management, and organization hierarchy configuration. The portal provides detailed audit trails, performance analytics, and compliance reporting to support quality improvement initiatives.

5. The Perin Health Inpatient Module
The Perin Health Inpatient Module provides a monitoring dashboard for monitoring capabilities in healthcare facility environments. The modules leverage the existing architectures for the Mobile Application and Provider Portal but offer unique interfaces for inpatient spot-check measurements.

The web-based monitoring dashboard, a page accessible through the Provider Portal, displays vital signs for up to 50 concurrent patients in a grid layout. Each patient card shows the latest values for heart rate, respiratory rate, oxygen saturation, temperature, and device status, with automatic sorting by alert priority and visual indicators for threshold violations. The dashboard refreshes every second, updating as new spot-check recordings are captured from patients across the unit.

The bedside Inpatient Application is built on top of the Android architecture of the Patient Mobile app and operates in kiosk mode. The Beside app only interfaces with the Perin Health Patch and relays information to the Cloud to provide clinicians with access to recent measurements in the Provider Portal Inpatient view. The application also maintains local data storage for backup operation and automatically synchronizes with the cloud upon connectivity restoration. Providers are unable to manually input clinical data (e.g., blood pressure measurements) directly into the bedside Inpatient Application but manual data input into the EHR can be read into and visualized in the Provider Portal over the EHR interface.

The Perin Health System supports monitoring in hospitals and out-of-hospital patient care settings where care is administered by healthcare professionals. Visual alarm indicators highlight parameter exceedances according to configured thresholds. High-priority alerts display prominently with appropriate color coding, though all clinical responses and acknowledgments must be performed through the Provider Portal to maintain proper documentation and workflow management.

The Perin Health System facilitates comprehensive spot-checking and retrospective monitoring across the continuum of care. Data flows from the wearable patch and third-party devices through the patient mobile application to the central cloud infrastructure, where processing algorithms derive clinical insights. Healthcare providers access this information through the web portal or inpatient displays for clinical review and analysis, enabling healthcare providers to track patient progress, adjust treatment plans based on measurements, and identify patients requiring intervention based on retrospective data trends.

Here's a breakdown of the acceptance criteria and the study details for the Perin Health System (PHD80060-2), based on the provided FDA 510(k) clearance documentation:

Acceptance Criteria and Device Performance Study (Perin Health System PHD80060-2)

1. Acceptance Criteria and Reported Device Performance

The acceptance criteria and reported device performance for key physiological parameters are summarized below:

Note: For several parameters (Skin Temperature, Posture, Body Motion, Fall Detection, Step Count, Auscultation data), the document states they were "verified by using bench testing as per the acceptance criteria" or "in accordance with acceptance criteria," implying they met the specified thresholds without explicitly re-stating the achieved performance metrics.

2. Sample Size Used for the Test Set and Data Provenance

• SpO2% (Induced Hypoxia Study):

  • Sample Size: 12 healthy adults (5 female, 7 male)
  • Data Provenance: Not explicitly stated (e.g., country of origin), but implied to be prospective clinical validation conducted for this submission.

• Respiratory Rate (Clinical Validation):

  • Sample Size: 35 participants (17 males, 18 females)
  • Data Provenance: Not explicitly stated (e.g., country of origin), but implied to be prospective clinical validation conducted for this submission.

• ECG, Heart Rate, R-R Interval, and Heart Rate Variability (Clinical Validation):

  • Sample Size: 243 participants
  • Data Provenance: Not explicitly stated (e.g., country of origin), but implied to be prospective clinical validation conducted for this submission.

• Wear-life Performance (Internal Clinical Wear Life Evaluation):

  • Sample Size: 26 participants
  • Data Provenance: Across 3 clinical sites. Implied to be prospective clinical evaluation.

3. Number of Experts Used to Establish the Ground Truth for the Test Set and Qualifications of Those Experts

The document does not explicitly state the number or specific qualifications of experts used to establish ground truth for the clinical test sets. However, it references:

• SpO2%: "arterial blood samples analyzed by a laboratory co-oximeter" as the gold standard. This implies specialized laboratory personnel for analysis, but their number and specific qualifications are not detailed.
• Respiratory Rate: "manually counted end-tidal CO2" as the gold standard. This would typically be performed by trained clinical staff, but their number and qualifications are not specified.
• ECG, HR, HRV: "standard Holter monitor" as the reference for comparison. Interpretation of Holter data would involve cardiologists or trained technicians, but the document doesn't specify if this was used as "ground truth" to establish the Holter reference itself or if it refers to the Holter output as the reference measurement.

4. Adjudication Method for the Test Set

The document does not describe any specific adjudication method (e.g., 2+1, 3+1, none) for the test sets. The studies compare the device's measurements directly to a "gold standard" or "reference monitor" without mentioning a multi-reader adjudication process for discrepancies.

5. Multi-Reader Multi-Case (MRMC) Comparative Effectiveness Study

There is no indication of a Multi-Reader Multi-Case (MRMC) comparative effectiveness study being done to evaluate how much human readers improve with AI vs. without AI assistance. The document focuses on the standalone performance of the device's measurements against established standards.

6. Standalone (Algorithm Only Without Human-in-the-Loop Performance) Study

Yes, standalone performance was done for several key parameters. The clinical validation studies directly assess the Perin Health System's ability to measure physiological data (SpO2%, Respiratory Rate, ECG/HR/HRV) against a specified gold standard or reference device. These studies inherently evaluate the algorithm's performance without direct human interpretation influencing the measurement output. For example:

• SpO2% accuracy is measured against arterial blood samples.
• Respiratory rate accuracy is measured against manually counted end-tidal CO2.
• ECG, HR, HRV performance is validated against a standard Holter monitor.

7. Type of Ground Truth Used

The types of ground truth used for the clinical validation studies include:

• Laboratory Standard / Direct Measurement: For SpO2%, the ground truth was "arterial blood samples analyzed by a laboratory co-oximeter."
• Clinical Gold Standard: For Respiratory Rate, the ground truth was "manually counted end-tidal CO2."
• Reference Clinical Device: For ECG, Heart Rate, R-R Interval, and Heart Rate Variability, the ground truth/reference was a "standard Holter monitor."

8. Sample Size for the Training Set

The document does not provide any information regarding the sample size for the training set. This information is typically proprietary to the manufacturer and not usually disclosed in 510(k) summaries unless specifically relevant to a novel AI/ML algorithm requiring such details for FDA review.

9. How the Ground Truth for the Training Set Was Established

Since no information about the training set or its sample size is provided, there is no information available on how the ground truth for the training set was established.

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The Respiree Cardio-Respiratory Monitor is a respiratory monitor intended for hospitals and hospital-type facilities in non-ICU settings and home settings.

The Respiree Cardio-Respiratory Monitor is indicated for the non-invasive spot checking of respiration rate (RR) for adult patients.

The Respiree Cardio-Respiratory Monitor System comprised of the following devices:

• Respiree Cardio-Respiratory Monitor
• Respiree Gateway and accessories (Antenna, charging cable)
• Respiree Dashboard

The Respiree Cardio-Respiratory Monitor is a wearable respiratory monitor. For measurement of respiration rate (RR), the device is affixed to the chest using a disposable adhesive patch with a hook-and-loop fastener to attach to the monitor. The device uses a vertical-cavity surface-emitting diode to emit optical light directed toward the skin. An integrated photodetector in a nearby position senses the diffused collected light. An adaptive signal processing method is used to enhance the device respiratory rate measurements by splitting the signal processing optimizations across different respiratory rate bands.

The monitor is powered by a 3.7V rechargeable, lithium-ion battery and is charged using the gateway provided. The Respiree Cardio-Respiratory Monitor transmits respiration rate raw data to the gateway via AES 256 encrypted Bluetooth wireless technology, and the latter uploads the data to the fixed secured cloud server either via Wi-Fi or LTE.

The Respiree Dashboard is a web application user interface that enable healthcare professional to access recorded respiration rate information for spot patient monitoring. The data from the Respiree Cardio- respiratory Monitor are intended for use by healthcare professionals as an aid to diagnosis and treatment. The device is not intended for use on critical care patients.

The provided FDA 510(k) clearance letter and summary for the Respiree Cardio-Respiratory Monitor System (K250934) indicate that clinical studies were not required for this specific submission, as there was "no change in the respiration rate software algorithm cleared in the previous version of the device (K223681)." This implies that the performance data for the respiration rate measurement itself was established in a prior submission (K223681).

Therefore, I cannot extract specific details about new clinical studies for K250934 that would directly prove the device meets acceptance criteria for respiration rate measurement within this document. The document primarily focuses on demonstrating substantial equivalence based on the updated hardware, expanded use environment (home setting), and data presentation methods, leveraging the previous clearance for the core measurement accuracy.

However, I can infer information about the acceptance criteria for the respiration rate measurement and the reported device performance based on the comparison table with the predicate devices. The other requested information (sample size, experts, adjudication, MRMC, standalone, ground truth, training set details) is typically found in the clinical study report itself, which is not part of this 510(k) summary for K250934.

Inference from K250934 Document (based on predicate comparison):

1. Table of Acceptance Criteria and Reported Device Performance (Inferred from Predicate Comparison)

Explanation of Inferences:

• The document explicitly states that the subject device "uses the identical technology (i.e., same sensor units and algorithms) for measuring respiratory rate compared to the primary predicate."
• The "Performance Accuracy (Arms)" and "Performance Range" are listed as identical for the subject device and the primary predicate, implying that these are the established performance characteristics for the core respiration rate measurement, and these values serve as the reported device performance and implicitly, the acceptance criteria derived from the predicate.

Information NOT available in the provided document for the core respiration rate measurement (as no new clinical study was conducted for K250934 to re-evaluate RR accuracy):

2. Sample size used for the test set and the data provenance: Not present for a new RR accuracy study. This information would have been part of the K223681 submission.
3. Number of experts used to establish the ground truth for the test set and the qualifications of those experts (e.g. radiologist with 10 years of experience): Not present for a new RR accuracy study.
4. Adjudication method (e.g. 2+1, 3+1, none) for the test set: Not present for a new RR accuracy study.
5. If a multi-reader multi-case (MRMC) comparative effectiveness study was done, If so, what was the effect size of how much human readers improve with AI vs without AI assistance: Not applicable for a spot-checking respiration rate monitor. This device measures a physiological parameter, not for interpreting medical images.
6. If a standalone (i.e. algorithm only without human-in-the-loop performance) was done: The "Performance Accuracy (Arms) < 3rpm" implies a standalone performance measure of the algorithm against a reference standard. However, the details of how this was established (e.g., specific study design, reference standard) are not in this document.
7. The type of ground truth used (expert consensus, pathology, outcomes data, etc.): Not specified in this document for the RR measurement. For respiration rate, this typically involves a highly accurate reference method like capnography, impedance pneumography, or manually adjudicated observation.
8. The sample size for the training set: Not present.
9. How the ground truth for the training set was established: Not present.

Additional Study Information Available in the Document for K250934:

The document highlights the studies conducted to support the changes in the device (home use, hardware modifications, data presentation), rather than re-validating the core RR measurement where the algorithm remained unchanged:

• Software verification and validation: Confirmed acceptability for intended use.
• Biocompatibility testing: According to ISO 10993-5 and -10 for patient-contacting components.
• Human factors and usability testing: Conducted by intended users to support acceptability of risks associated with clinical use.
• Electrical, EMC, and Wireless Coexistence requirements: Meeting IEC 60601-1, IEC 60601-1-11, IEC 60601-1-2, and C63.27:2021.

In summary, the provided document leverages the prior clearance (K223681) for the respiration rate measurement accuracy, focusing the current submission (K250934) on demonstrating substantial equivalence for design changes and the expanded use environment.

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The Biobeat BB-613-BPM is a noninvasive blood pressure monitor which provides a notification to the user every 15 minutes over a 24 hour period for user- initiated measurements. It includes a device and a platform (BPM) for use in adults by healthcare professionals, for collection of pulse rate and tracking changes in blood pressure based on Pulse Wave Transit Time (PWTT) in hospitals, clinics, long-term care and at home. The BB-613-BPM tracks changes in blood pressure and requires callbration using an FDA-cleared oscillometric blood pressure monitor. The data from the Biobeat BB-613-BPM can be accessed through the Biobeat platform for review by a healthcare professional or can be downloaded as a report. The device is not intended to be used on critical care patients.

The Biobeat BB-613-BPM includes a sensor device that is attached to the patient's chest to collect physiological data for later review by their healthcare provider. The device is designed to measure systolic and diastolic blood pressure and pulse rate, in adults, using a noninvasive technique using a light source (LEDs), and sensor array on the backside of the device. Identical to the method cleared in K190792 and in K222010, the LEDs transmit light into the subject's skin and part of this light is reflected from the tissue and detected by a photo-diode. This allows measurement of pulse rate, and noninvasive blood pressure. The device is a pre-programmed 24-hour blood pressure monitor (BPM), prompting the use to take measurements at fixed intervals every 15 minutes. In addition, the data is transmitted to a mobile application via Bluetooth and then uploaded to the cloud, accessed through the Biobeat platform for review by a healthcare professional. In addition, the data could be downloaded as a report. The device does not contain any alarms. The device is intended to be used by healthcare professionals and patients in clinical and patient's environments.

The provided text is a 510(k) summary for the Biobeat BB-613-BPM. It outlines the device, its indications for use, technological characteristics, and a comparison to predicate devices, ultimately concluding substantial equivalence. However, it does not contain specific details about acceptance criteria, the study design (e.g., sample size, data provenance, expert qualifications, adjudication methods), or performance data results that would be typically found in a clinical study report.

The document explicitly states: "The Biobeat BB-613-BPM uses the same hardware as the cleared Biobeat Platform-2 and the BB-613WP Patch but features some software changes. The device contains the same sensor unit and uses the same algorithm to compute pulse rate and blood pressure. Therefore, these signals' evaluation testing, which was submitted in K222010 and K190792, remains applicable to the subject device. Additional testing was conducted on the updated product features, including: . Software validation per FDA guidance..."

This indicates that the primary focus of the new submission (K241066) was on software validation for the new feature (24-hour, patient-initiated measurements with notifications), rather than extensive new clinical performance studies for blood pressure or pulse rate accuracy, as those were already established for the predicate devices utilizing the same sensor unit and algorithm.

Therefore, many of the requested details about a study proving the device meets acceptance criteria are not present in the provided text. I will answer based on the information that is available.

Here's an attempt to answer your questions based only on the provided text, flagging where information is missing:

1. A table of acceptance criteria and the reported device performance

The document provides a comparison table of technological characteristics, including measurement ranges and accuracies, which can be interpreted as performance specifications inherited from the predicates and serving as acceptance criteria.

Note: The document states, "The device contains the same sensor unit and uses the same algorithm to compute pulse rate and blood pressure. Therefore, these signals' evaluation testing, which was submitted in K222010 and K190792, remains applicable to the subject device." This implies that the BB-613-BPM is expected to meet the same accuracy standards as its predicates for PR and BP. The primary new "performance data" mentioned is "Software validation per FDA guidance."

2. Sample size used for the test set and the data provenance (e.g. country of origin of the data, retrospective or prospective)

• Sample Size: Not specified in this document. The document refers to prior testing for pulse rate and blood pressure (from K222010 and K190792) and software validation.
• Data Provenance: Not specified.
• Retrospective/Prospective: Not specified.

3. Number of experts used to establish the ground truth for the test set and the qualifications of those experts (e.g. radiologist with 10 years of experience)

• This information is not applicable or not provided. The ground truth for blood pressure and pulse rate measurements in medical devices like this is typically established using established reference methods (e.g., intra-arterial measurements, or a validated oscillometric device for calibration as mentioned in the Indications for Use). Expert readers are typically not used to establish ground truth for physiological measurements like BP or PR.

4. Adjudication method (e.g. 2+1, 3+1, none) for the test set

• This information is not applicable or not provided, as this is not a study involving human reader interpretation or adjudication.

5. If a multi reader multi case (MRMC) comparative effectiveness study was done, If so, what was the effect size of how much human readers improve with AI vs without AI assistance

• No, a multi-reader multi-case (MRMC) comparative effectiveness study was not conducted or reported in this document. This type of study is relevant for AI systems that aid human interpretation (e.g., radiology AI), which is not the primary function described for this blood pressure measurement system's new feature.

6. If a standalone (i.e. algorithm only without human-in-the-loop performance) was done

• The document implies that standalone performance for pulse rate and blood pressure was established and deemed acceptable in prior submissions (K222010 and K190792) because the subject device uses the "same sensor unit and uses the same algorithm to compute pulse rate and blood pressure." The new submission focuses on software changes related to the 24-hour monitoring feature and notifications, rather than core measurement algorithm performance.

7. The type of ground truth used (expert consensus, pathology, outcomes data, etc)

• For blood pressure and pulse rate measurements: The Indications for Use state, "The BB-613-BPM tracks changes in blood pressure and requires calibration using an FDA-cleared oscillometric blood pressure monitor." This strongly suggests that an FDA-cleared oscillometric blood pressure monitor serves as the ground truth or reference method for calibration and presumably for performance validation in the previous submissions.

8. The sample size for the training set

• Not specified. This document only pertains to a 510(k) submission, not a full scientific publication detailing model development.

9. How the ground truth for the training set was established

• Not specified. As noted above, the ground truth for physiological measurements typically involves comparison to a gold standard or reference method. However, details of the training set (if any specific to this submission's new features beyond the core algorithm) are not provided. The phrase "pre-programmed" suggests the algorithms are fixed, not adaptively learning from ongoing data.

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