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The Neuronaute Plus is a system intended to acquire, store, archive, and periodically transmit physiological signals from the brain using a full montage array to enable review at a physician's office, hospital, or other remote locations. It allows remote access by users via the BioSerenity Cloud.

The Neuronaute Plus and its associated software are intended to assist in the diagnosis of neurological disorders. The Neuronaute Plus and its components do not provide any diagnostic conclusions or automated alerts of an adverse clinical event about a patient's clinical condition.

The Neuronaute Plus is intended to be used by trained healthcare professionals, technicians or patients above 15 years old. In case of a patient below 15 years old, Neuronaute Plus is intended to be used by a care giver.

Adequate training is recommended for proper use of the device.

Neuronaute IceCap 2 electrodes are able to be used on patients weighing at least 10 kg and having a head circumference above 43 cm.

Neuronaute is not intended to replace direct communication with healthcare providers. The system data should not be used alone, but should be used along with all other clinical data and exams to come to a diagnosis.

The BioSerenity Cloud allows the display of signals in the diagnosis of physiological disorders through the data collected by recording.

The BioSerenity Cloud should allow the analysis and filtering of data in order to aid doctors in diagnosing neurological disorders.

The Neuronaute Plus is a non-invasive medical device which enables the acquisition, recording, storage and transmission of electrophysiological signals in order to analyze potential neurological disorders.

The system is composed of the pieces of equipment listed below, and the Neuronaute Plus components are connected through Bluetooth and Wi-Fi.

• -Neuronaute Plus (Core module): is a signal acquisition system: an electronical amplifier that records EEG, ECG, EMG, EOG and breathing signals via a connection to EEG caps which transmits the data to the Neuronaute mobile application and Cloud system.
• -Neuronaute Plus IceCap extender : is a removable interface to connect the signal acquisition system to the IceCap and IceCap2 & 2 Small.
• -Neuronaute Plus DB25 Extender : is a removable interface that can connect the signal acquisition system to any DB25-compatible EEG cap.
• -Holding band : is a wearable textile band which allows the patient to place the Neuronaute Plus close around his chest over clothes. the use of the holding band is optional.
• -Neuronaute IceCap: is a single use 21 electrode headset that connects to the Neuronaute Head Module via the IceAdapter, the DB25 cable and the Neuronaute BioAdapter, or Neuronaute Plus with its IceCap Extender. Recently, the Neuronaute Touchproof Adapter was developed to connect the IceCap electrode to Neuronaute Head module via a touchproof channel.
• Neuronaute IceCap 2 & 2 Small: recently cleared version of the IceCap dedicated to adults and pediatric patients. It connects similarly to Neuronaute and Neuronaute Plus.
• Neuronaute Mobile APP: is compatible with iOS systems. The mobile application enables the healthcare professionals to access and manage the prescribed recording sessions.
• -Bioserenity CLOUD: is a web-based information system that receives the EEG signals from the recorder through a paired Wi-Fi connection. The cloud platform enables long-term storage and display of the recorded signals. The physician, who prescribes the use of this device, should monitor its use and confirm the proper functioning of signal recording through the Neuronaute Cloud.
• -VEEG pack: it is composed of the Neuronaute N-DEO and Neuronaute N-WAY. The Neuronaute N- DEO camera enables the visualization of the patient during a recording. The IP camera provides HD resolution video sequence at 1080p, with advanced night mode and WDR technology. The Neuronaute N- WAY enables wireless connectivity (4G) for remote monitoring and data transmission to the cloud platform.

The provided text does not contain the detailed information required to fill out a table of acceptance criteria and reported device performance for a diagnostic device, nor does it describe a study that proves the device meets specific performance criteria for diagnosis with quantitative metrics like sensitivity, specificity, or accuracy.

The document is a 510(k) Premarket Notification for the Neuronaute Plus, which establishes its substantial equivalence to an existing predicate device (Neuronaute). This clearance pathway primarily focuses on demonstrating that the new device is as safe and effective as a legally marketed device, rather than proving its diagnostic performance against specific, quantitative acceptance criteria in a clinical study.

Here's why the requested information is largely absent and what the document does provide:

1. Acceptance Criteria and Reported Device Performance (Table):

   • The document lists several non-clinical tests (electrical safety, EMC, wireless safety, PEMS, cybersecurity, biocompatibility, usability, battery safety) that the Neuronaute Plus underwent.
   • For each of these, the "acceptance criterion" is implicitly "passed" or "fulfills the requirements of the standard."
   • The "reported device performance" is simply that "all tests... are in passed status" or "the product fulfills the requirements of the standard."
   • Crucially, there are no diagnostic performance metrics (e.g., sensitivity, specificity, AUC) or corresponding acceptance criteria because the device is an EEG acquisition and display system, not an AI diagnostic algorithm that provides conclusions or automated alerts. Its "performance" is primarily about its ability to accurately acquire and display physiological signals safely and effectively, comparable to its predicate.

   Therefore, a table of acceptance criteria and reported device performance related to diagnostic accuracy (as typically seen for AI/ML devices) cannot be constructed from this document. The performance testing described is focused on safety, electrical compatibility, and usability compared to a predicate device.

   Conceptual Table (based on safety/functional tests, not diagnostic accuracy):

   Area of Test	Acceptance Criteria	Reported Device Performance
   Electrical Safety	Compliance w/IEC 60601-1, -11, -26	All tests passed; substantially equivalent to predicate.
   EMC Tests	Compliance w/IEC 60601-1-2	All tests passed; fulfills requirements of standard.
   Wireless Safety	Radio-emission safety	All tests passed; substantially equivalent to predicate.
   PEMS (Firmware)	Software safety & electrical perf.	All tests passed.
   Cybersecurity	Meets FDA guidance	Design process demonstrates safety; post-market plan.
   Biocompatibility	Compliance w/ISO 10993-1, FDA guid.	No further testing required; classified as biocompatible.
   Usability	No critical/major use errors	Validation criteria met; no critical/major use errors.
   Battery Safety	Compliance w/IEC 62133, 60601-1	All tests passed.

2. Sample Size and Data Provenance for Test Set:

   • Diagnosis/AI Performance Test Set: Not applicable. The document explicitly states: "No clinical data was needed for demonstrating substantial equivalence of the Neuronaute Plus."
   • Usability Study Test Set:
     • Sample Size:
       • User group 1 (Healthcare professionals): n=9 (Physicians, nurses, technicians)
       • User group 2 (Patients): n=15 (aged 15-30, 31-50, >50 years)
     • Data Provenance: Not specified, but generally, human factors/usability studies are prospective and often conducted in a simulated environment by the manufacturer. Country of origin is not mentioned.

3. Number of Experts and Qualifications for Ground Truth:

   • Not applicable for diagnostic ground truth as no clinical diagnostic performance study was conducted.
   • For the usability study, "trained healthcare professionals" were part of the user group, but their role was as study participants, not as ground truth experts for a diagnostic outcome.

4. Adjudication Method for Test Set:

   • Not applicable for a diagnostic test set, as no such test was conducted.
   • For the usability study, the "validation criteria are met," and "no use errors leading to critical or major risks... occurred." This implies an assessment against predefined usability metrics, likely by study administrators, but no details on an adjudication panel for "ground truth" are provided.

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

   • No. This study type is typically for assessing human reader performance with and without AI assistance for diagnostic interpretation. The Neuronaute Plus is an EEG acquisition and display system, not an AI interpretive algorithm. Its purpose is to assist in diagnosis by providing signals for a healthcare professional to review, not to provide diagnostic conclusions itself.
   • The Indications for Use clearly state: "The Neuronaute Plus and its components do not provide any diagnostic conclusions or automated alerts of an adverse clinical event about a patient's clinical condition."

6. Standalone (Algorithm Only) Performance:

   • Not applicable. The Neuronaute Plus is a hardware system with associated software for signal acquisition, storage, and display. It does not contain a standalone diagnostic algorithm that produces a diagnostic output without human intervention.

7. Type of Ground Truth Used:

   • For diagnostic purposes, none was used or required, as per the 510(k) clearance process for this type of device (EEG acquisition/display).
   • For non-clinical tests (electrical safety, EMC, etc.), the "ground truth" is adherence to established consensus standards (e.g., IEC standards).

8. Sample Size for Training Set:

   • Not applicable. There's no mention of an AI/ML component that requires a training set for diagnostic classification or prediction. The device's software handles data acquisition, storage, transmission, and display, which are typically validated through verification and validation testing against functional requirements and standards, not through training data.

9. How Ground Truth for Training Set was Established:

   • Not applicable, as no training set for an AI/ML diagnostic algorithm is mentioned.

In summary: The provided document is a 510(k) clearance letter for an EEG acquisition and display system (Neuronaute Plus). Its "acceptance criteria" and "proof" primarily revolve around demonstrating safety, functional performance, and substantial equivalence to a predicate device through non-clinical testing and usability studies, rather than clinical diagnostic accuracy studies common for AI-powered diagnostic aids.

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