Search Results

The Vios Monitoring System (VMS) is intended for use by medically qualified personnel for physiological vital signs monitoring of adult (18+) patients in healthcare facilities. It is indicated for use in monitoring of 7-lead ECG, heart rate, functional oxygen saturation of arterial hemoglobin, non-invasive blood pressure and activity. VMS allows for the input of body temperature, and can display data from peripheral devices. VMS can generate alerts when the physiological vital signs fall outside of selected parameters.

VMS can also generate alerts when cardias arrhythmias (Tachycardia, Asystole, Ventricular Fibrillation and Atrial Fibrillation/ Atrial Flutter) are detected.

The ECG rhythm analysis is intended for use by medified professionals in the identification of arrhythmia events and to aid in clinical review of arrhythmias and medical interventions.

The Vos CSM/CS Software is indicated for use by healthcare professionals for the purpose of centralized monitoring of patient data within a healthcare facility. The Vios CSMCS SW receives, stores, and displays patient physiological and waveform data and alams generated by Vios proprietary patient vitals monitoring software.

The Vios Monitoring System (VMS) Model 2050 is a wireless mobile medical device platform that allows caregivers in healthcare settings to monitor patient vitals. The VMS includes a proprietary monitoring software, Chest Sensor, Finger Adapter and Central Server and Central Monitoring Station. The VMS BSM SW Model B2050 is stand-alone software that can receive, analyze, and display physiological vitals data from one or more patient-worn sensors via standard communication protocols (Bluetooth™). It runs on a commercial IT platform and is intended to be used in conjunction with the Vios Chest Sensor and Vios Lead Adapters and can support peripheral, medical grade, Bluetooth™-enabled devices. The VMS Chest Sensor Model CS2050 is a small, patient-worn, non-sterile multiple use,

The Vios Monitoring System (VMS) Model 2050 was evaluated for its arrhythmia detection features, specifically assessing its performance against the ANSI/AAMI EC57:2012 standard and additional database records.

Here's a breakdown of the acceptance criteria and study details:

1. Table of Acceptance Criteria and Reported Device Performance:

The document primarily references compliance with the ANSI/AAMI EC57:2012 standard for cardiac rhythm and ST-segment measurement algorithms. While specific numerical acceptance criteria (e.g., minimum sensitivity, positive predictivity) for each arrhythmia are not explicitly listed in the provided summary, the study's conclusion of meeting "performance requirements as outlined in the consensus standard ANSI/AAMI EC57:2012" implies that the device achieved the performance thresholds defined within that standard for the tested arrhythmias.

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

The document states that the device's performance was evaluated using:

• Records from the ANSI/AAMI EC57 standard. This standard often utilizes a combination of standard ECG databases (e.g., MIT-BIH Arrhythmia Database).
• Additional records from LTAF, AAEL, and VFDB databases.

The specific sample sizes (number of patients or ECG recordings) for each arrhythmia or for the combined test set are not provided in the summary. The provenance of LTAF, AAEL, and VFDB databases is not detailed; however, these are generally recognized public databases of ECG recordings used for algorithm testing, often comprising retrospective data.

3. Number of Experts Used to Establish Ground Truth and Qualifications:

The document does not state the number of experts used or their specific qualifications for establishing the ground truth of the test set. For publicly available and widely used databases like those mentioned (MIT-BIH, LTAF, AAEL, VFDB), the ground truth labels are typically established by multiple expert cardiologists or electrophysiologists using established criteria, often after multiple review rounds. However, this specific information is not in the provided text.

4. Adjudication Method for the Test Set:

The document does not specify the adjudication method used (e.g., 2+1, 3+1). For standard ECG databases, ground truth is usually established via expert consensus, which inherently involves an adjudication process, but the specific mechanics are not described here.

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

The document does not indicate that a multi-reader multi-case (MRMC) comparative effectiveness study was done to assess how much human readers improve with AI vs. without AI assistance. The testing described is focused on the standalone performance of the device's arrhythmia detection algorithm.

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

Yes, a standalone performance evaluation was done. The summary explicitly states: "The non-clinical tests for evaluation of performance of Vios system with the addition of arrhythmia alarms is based on ANSI/AAMI EC57, showing substantial equivalence to the predicate (K180472). The subject device's performance was also evaluated using additional records from LTAF, AAEL, and VFDB database..." This describes the algorithm's performance without direct human intervention as part of the detection process.

7. Type of Ground Truth Used:

The ground truth for the test was established through expert consensus/annotations from well-known ECG databases (ANSI/AAMI EC57, LTAF, AAEL, and VFDB). These databases contain ECG recordings that have been meticulously reviewed and annotated by medical experts (typically cardiologists or electrophysiologists) to identify and label different cardiac events and arrhythmias,
Pathology and outcomes data are not mentioned as sources for ground truth in this context.

8. Sample Size for the Training Set:

The document does not specify the sample size used for the training set of the Vios Monitoring System's arrhythmia detection algorithm.

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

The document does not specify how the ground truth for the training set was established. However, it is common practice for such algorithms to be trained on large, expertly annotated ECG datasets, similar to those used for testing (expert consensus/annotations).

Ask a specific question about this device

The Portrait Mobile Monitoring Solution is intended to acquire, store, calculate, display and export patient monitoring data as well as provide real time alarming for monitoring adult and pediatric patients (3 years of age and older, and weighing more than 10 kg).

Physiological parameters and waveforms supported are:
· Pulse oximetry (SpO2/pulse rate)
· Respiration rate (RR)

Continuous pulse oximetry and respiration rate monitoring may be used for patients at risk of cardiorespiratory and infectious complications.

The Portrait Mobile Monitoring Solution is intended for use under the direct supervision of a licensed practitioner, or by personnel trained in proper use of the equipment in a professional healthcare facility.

This device is not an Apnea monitor (i.e., do not rely on the device for the cessation of breathing). This device should not be used for life sustaining/supporting purposes.

The Portrait Mobile Monitoring Solution is not in a controlled Magnetic Resonance (MR) environment.

Portrait Central Viewer Application (Portrait CVA01):
The Portrait Central Viewer Application (Portrait CVA01) provides monitoring station capability running as an application for the Portrait Mobile Monitoring Solution on a PC platform that meets minimum system requirements. It provides the ability to view real-time data for multiple patients and historical data for a single patient including configurable visual and audible alarm notifications.

The Portrait Central Viewer Application is intended for use under the direct supervision of a licensed practitioner, or by personnel trained in proper use of the equipment in a professional healthcare facility.

Portrait Core Services (Portrait CSS01):
The Portrait Core Services are a set of software services that enable the communication of the Portrait Monitoring Solution components and will integrate into existing healthcare facility infrastructure and clinical information systems. The Portrait Core Services can transmit patient physiological trends and numerics (IHE PCD DEC) and alarm events (IHE PCD ACM) outbound. The Portrait Core Services can also receive HL7 ADT information to admit patients to the Portrait Monitoring Solution.

Portrait Clinical Alarming Unit (Portrait CAU01):
The Portrait Clinical Alarming Unit (Portrait CAU01) is a required accessory to the Portrait Central Viewer Application that provides audio alarming capability.

The Portrait Clinical Alarming Unit is intended for use under the direct supervision of a licensed practitioner, or by personnel trained in proper use of the equipment in a professional healthcare facility.

Portrait Mobile Patient Monitor (Portrait HUB01):
The Portrait Mobile Patient Monitor (Portrait HUB01) is intended for use with adult and pediatric patients (3 years of age and older, and weighing more than 10 kg) for continuous monitoring of oxygen saturation (SpO2), pulse rate (PR) and respiration rate (RR) parameters. The Portrait Mobile Patient Monitor enables non-invasive continuous monitoring of patients by acquiring signals from body-worn sensors through a Medical Body Area Network (MBAN) connection as well as displaying trends and events. The device can be configured to provide local audible and visual alarms and can also provide real-time, trend and event data to Portrait Core Services.

The Portrait Mobile Patient Monitor is intended for use under the direct supervision of a licensed practitioner, or by personnel trained in proper use of the equipment in a professional healthcare facility.

The Portrait Mobile Patient Monitor is not intended for use in a controlled Magnetic Resonance (MR) environment.

Portrait Wearable Pulse Oximetry Sensor P-SA01 (Portrait SpO2 P-SA01):
The Portrait Wearable Pulse Oximetry Sensor (Portrait SpO2 P-SA01) is intended for use with adult and pediatric patients (3 years of age and older, and weighing more than 30 kg) for continuous physiologic monitoring of oxygen saturation (SpO2) and pulse rate (PR) parameters. The Wearable Pulse Oximetry Sensor acquires parameter data from the patient and transmit it to the sensor battery for communication to a host device through the Medical Body Area Network (MBAN) connection.

The Portrait Wearable Pulse Oximetry Sensor is intended for use under the direct supervision of a licensed practitioner, or by personnel trained in proper use of the equipment in a professional healthcare facility.

The Portrait Wearable Pulse Oximetry Sensor is not intended for use in a controlled Magnetic Resonance (MR) environment.

Portrait Wearable Pulse Oximetry Sensor (Portrait SpO2 P-SP01):
The Portrait Wearable Pulse Oximetry Sensor (Portrait SpO2 P-SP01) is intended for use with pediatric patients (3 years of age and older, and weighing 15 kg to 30 kg) for continuous physiologic monitoring of oxygen saturation (SpO2) and pulse rate (PR) parameters. The Wearable Pulse Oximetry Sensor acquires parameter data from the patient and transmit it to the sensor battery for communication to a host device through the Medical Body Area Network (MBAN) connection.

The Portrait Wearable Pulse Oximetry Sensor is intended for use under the direct supervision of a licensed practitioner, or by personnel trained in proper use of the equipment in a professional healthcare facility.

The Portrait Wearable Pulse Oximetry Sensor is not intended for use in a controlled Magnetic Resonance (MR) environment.

Portrait Wearable Pulse Oximetry Sensor (Portrait SpO2 P-W01, Portrait SpO2 P-SE01):
The Portrait Wearable Pulse Oximetry Sensor (Portrait SpO2 P-SE01, Portrait SpO2 P-W01) is intended for use with adult and pediatric patients (3 years of age and older, and weighing more than 10 kg) for continuous physiologic monitoring of oxygen saturation (SpO2) and pulse rate (PR) parameters. The Wearable Pulse Oximetry Sensor acquires parameter data from the patient and transmit it to the sensor battery for communication to a host device through the Medical Body Area Network (MBAN) connection.

The Portrait Wearable Pulse Oximetry Sensor is intended for use under the direct supervision of a licensed practitioner, or by personnel trained in proper use of the equipment in a professional healthcare facility.

The Portrait Wearable Pulse Oximetry Sensor is not intended for use in a controlled Magnetic Resonance (MR) environment.

Portrait SpO2 Attachment Accessory Band (Portrait AAB01):
The Portrait SpO2 Attachment Accessory Band (Portrait AAB01) is intended to provide a means to secure the Portrait Wearable Pulse Oximetry Sensor with Portrait Sensor Battery to the patient's wrist.

The Portrait Attachment Accessory Band is intended for use under the direct supervision of a licensed practitioner, or by personnel trained in proper use of the equipment in a professional healthcare facility.

Portrait Wearable Respiration Rate Sensor (Portrait RR P-RR01):
The Portrait Wearable Respiration Rate Sensor (Portrait P-RR01) is intended for use with adult and pediativ (3 years of age and older, and weighing more than 10 kg) for continuous physiologic monitoring of respiration rate (RR) parameter. The Wearable Respiration Rate Sensor acquires parameter data from the patient and transmits it to the sensor battery for communication to a host device through the Medical Body Area Network (MBAN) connection.

The Portrait Wearable Respiration Rate Sensor is intended for use under the direct supervision of a licensed practitioner, or by personnel trained in proper use of the equipment in a professional healthcare facility.

The Portrait Wearable Respiration Rate Sensor is not intended for use in a controlled Magnetic Resonance (MR) environment.

Portrait RR Electrode Patch (Portrait RRP01):
The Portrait RR Electrode Patch (Portrait RRP01) is intended for use with adult and pediatric patients (3 years of age and older, and weighing more than 10 kg) for continuous physiologic monitoring of respiration rate (RR) parameter. The electrode patch transfers carrier signals from the wearable respiration rate sensor and transfers impedance and biopotential signals from the patient and transmits them to the wearable respiration rate sensor.

The Portrait RR Electrode Patch is intended for use under the direct supervision of a licensed practitioner, or by personnel trained in proper use of the equipment in a professional healthcare facility.

The Portrait RR Electrode Patch is not in a controlled Magnetic Resonance (MR) environment.

Portrait Sensor Battery (Portrait SBT01):
The Portrait Sensor Battery (Portrait SBT01) is intended for use as a power supply for the Portrait wearable sensors and to provide wireless communication to a host device.

The Portrait Sensor Battery is intended for use under the direct supervision of a licensed practitioner, or by personnel trained in proper use of the equipment in a professional healthcare facility.

The Portrait Sensor Battery is not intended for use in a controlled Magnetic Resonance (MR) environment.

Portrait Bedside Charger (Portrait BCH01):
The Portrait Bedside Charger (Portrait BCH01) is intended for charging the Portrait Sensor Batteries and the Portrait Mobile Patient Monitor (including while the Portrait Mobile Patient Monitor is in use).

The Portrait Bedside Charger is intended for use under the direct supervision of a licensed practitioner, or by personnel trained in proper use of the equipment in a professional healthcare facility.

The Portrait Bedside Charger is not intended for use in a controlled Magnetic Resonance (MR) environment.

Portrait Mobile Patient Monitor Pouch (Portrait MMP01):
The Portrait Mobile Patient Monitor Pouch (Portrait MMP01) is an optional accessory intended to enable the Mobile Patient Monitor to be carried while the patient is ambulatory.

The Portrait Mobile Patient Monitor pouch is intended for use under the direct supervision of a licensed practitioner, or by personnel trained in proper use of the equipment in a professional healthcare facility.

The Portrait Mobile Monitoring Solution is a new wireless monitoring system for monitoring SpO2, pulse rate and respiration rate of adult and pediatric patients. The system can be used for monitoring adult and pediatric patients (3 years of age and older, and weighing more than 10 kg) within a hospital or healthcare facility. The system acquires, stores, calculates, displays, and exports patient physiological parameter data, alarms, and information. It supports pulse oximetry (SpO2/pulse rate) and respiration rate parameters. Measurement values are displayed as graphic or numeric values, like waveforms and numbers, and when applicable, also as alarm messages. This device is not an Apnea monitor (i.e., do not to rely on the device for detection or alarm for the cessation of breathing). This device should not be used for life sustaining/supporting purposes. Do not attempt to use this device to detect sleep apnea.

The Portrait Mobile Monitoring Solution consists of the following general categories of medical devices:

Central Monitoring Devices:
Portrait Core Services hosted on the GE HealthCare nonmedical device Edison Health Link platform. Portrait Core Services is a set of software services that enable the communication and interaction of the system components and are capable of integrating into existing healthcare facility infrastructure and clinical information systems.

Portrait Central Viewer Application software hosted on a . Windows off-the-shelf computer. Portrait Central Viewer Application provides the ability to view patient real-time and historical data, capable of displaying data from multiple patients.

. Portrait Clinical Alarming Unit provides audible alarms at each Central Viewer.

Mobile Monitoring Devices:
Portrait Mobile Patient Monitor, a battery-powered, . wireless, hand-held patient monitor. The Portrait Mobile Patient Monitor is a completely wireless, hand-held device that is capable of acting as a standalone patient monitor including alarming, with a 3.7-inch capacitive touchscreen capable of displaying numeric data and waveforms for SpO2, Pulse Rate (PR), and Respiration Rate (RR). . Portrait Wearable SpO2 sensors for acquiring SpO2 and pulse rate data from a patient wirelessly. . Portrait Wearable Respiration Rate sensor and Portrait RR electrode patch for acquiring impedance respiration data from a patient wirelessly. . Portrait Sensor battery used for powering the wearable sensors and provide wireless communication to the Portrait Mobile Patient Monitor. . Portrait Bedside Charger for charging the Portrait Sensor Batteries and Portrait Mobile Patient Monitor (including when the Portrait Mobile Patient Monitor is in clinical use). . Portrait SpO2 Attachment accessory band which provides means to secure the SpO2 sensors to the patient's wrist. . Portrait Mobile Patient Monitor Pouch, which allows the Portrait Mobile Patient Monitor to be carried while the patient is ambulatory.

The provided text describes the acceptance criteria and study proving the device meets those criteria for the GE HealthCare Portrait Mobile Monitoring Solution.

Here's an analysis structured according to your request:

1. Table of Acceptance Criteria & Reported Device Performance

The acceptance criteria for the Portrait Mobile Monitoring Solution are primarily based on performance specifications for its physiological parameters (Respiration Rate, SpO2, Pulse Rate) and its compliance with relevant medical device standards. The document provides comparison tables indicating how the proposed device's performance aligns with or is considered equivalent to predicate devices.

Key Performance Specifications and Reported Performance:

2. Sample Size and Data Provenance

The document specifies two clinical studies:

• SpO2 Algorithm and Sensors Study: This study was conducted in accordance with ISO 80601-2-61:2017 and FDA guidance: "Pulse Oximeters—Premarket Notification Submissions [510(k)s] - Guidance for Industry and Food and Drug Administration Staff Issued March 2013." While the exact sample size is not explicitly stated in the provided text, adherence to these specific standards and guidance documents implies that the sample size would meet the rigorous requirements for pulse oximetry accuracy claims (typically involving a range of healthy adult volunteers and induced hypoxia studies). The provenance (e.g., country) is not explicitly stated, but given FDA submission, it's typically a multi-center study, often including US sites. The nature of these studies is prospective.

• Respiration Rate (RR) Monitoring Study:

  • Sample Size: Not explicitly stated, but the population was described as "representative of the general population anticipated to require Portrait Mobile Monitoring Solution in clinical practice," suggesting a sufficient sample size for general ward patients.
  • Data Provenance: The study was conducted on "general ward patients" and while the country of origin is not directly stated, common practice for FDA submissions implies data from a well-regulated clinical environment, often within the US or compliant international sites. It was a prospective study where patients performed normal activities.

3. Number of Experts and Qualifications for Ground Truth

The document does not mention the use of experts to establish ground truth in the traditional sense of image interpretation for AI. Instead, the ground truth for physiological parameters appears to be established through:

• SpO2: Defined by the methodologies outlined in ISO 80601-2-61:2017, which involves controlled hypoxia studies where reference arterial oxygen saturation (SaO2) is measured directly from arterial blood samples via a co-oximeter. This method does not typically involve expert "readers" for ground truth but rather highly precise laboratory measurements.
• Respiration Rate: "Reference method was CO2 monitoring, which is considered a gold standard for RR." This is an objective physiological measurement, not reliant on expert interpretation.

Therefore, the concepts of "number of experts" and "qualifications of those experts" as they relate to human readers establishing ground truth for perception tasks (like radiology) are not applicable here.

4. Adjudication Method for the Test Set

As the ground truth for both SpO2 and Respiration Rate is based on objective physiological measurements (co-oximetry for SpO2, CO2 monitoring for RR), an "adjudication method" involving human consensus (e.g., 2+1, 3+1) is not relevant. The ground truth is established by the direct laboratory or reference measurement.

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

No MRMC study was described because this device is a physiological monitor, not an AI-assisted diagnostic imaging device where human readers interact with AI outputs. The device's performance is assessed against objective physiological measurements, not against human reader performance. Therefore, there is no mention of an effect size for human readers improving with AI assistance.

6. Standalone (Algorithm Only) Performance Study

Yes, standalone performance studies were done.

• For SpO2, the device's SpO2 algorithm and sensors were studied to perform measurements in accordance with ISO 80601-2-61:2017. This standard inherently evaluates the device's ability to measure physiological parameters accurately, independent of human interpretation or intervention beyond initial setup and data collection.
• For Respiration Rate, the "performance of the Portrait Mobile Monitoring Solution dual vector impedance-based respiration rate monitoring" was evaluated against CO2 monitoring as a gold standard. This is a direct measurement of the algorithm/device's accuracy.

7. Type of Ground Truth Used

• SpO2: Physiological ground truth established by co-oximetry.
• Respiration Rate: Physiological ground truth established by CO2 monitoring (described as the "gold standard").

8. Sample Size for the Training Set

The document does not explicitly state the sample size for any training sets. For physiological monitoring devices, "training sets" might refer to data used for algorithm development and calibration rather than distinct supervised learning in the same way as, for example, a deep learning model for image analysis. The focus here is on validation against established standards and gold-standard measurements rather than a separate training/test split for a complex AI model.

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

Since no explicit "training set" is detailed, the method for establishing its ground truth is also not described. If internal algorithm development involves data 'training,' it would likely use similar objective physiological measurement methods (e.g., controlled studies with co-oximetry and CO2 monitoring) as those used for validation, ensuring consistency and accuracy.

Ask a specific question about this device