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The Datex-Ohmeda S/5™ BIS Module, E-BIS and accessories are intended to be used with Datex-Ohmeda modular multiparameter monitors for monitoring neurophysiological status of hospitalized patients.

The Datex-Ohmeda S/5TM BIS Module, E-BIS and accessories are indicated for monitoring the state of the brain by data acquisition of electroencephalograph (EEG) signals of all hospitalized patients. The Bispectral index (BIS), a processed EEG variable, may be used as an aid in monitoring the effects of certain anesthetic agents. The device is indicated for use by qualified medical personnel only.

The Datex-Ohmeda S/5™ BIS Module, E-BIS and accessories is a single-width plug-in parameter module for a Datex-Ohmeda modular monitoring system. The S/5 E-BIS module, M-BIS can be used with the following Datex-Ohmeda modular monitors: S/5 Anesthesia Monitor (AM), S/5 Compact Anesthesia Monitor (CAM), S/5 Critical Care Monitor (CCM) and S/5 Compact Critical Care Monitor (CCCM) with main software L-(C)ANE02(A)..00 or L-(C)ICU02(A)..00 or newer version. The Datex-Ohmeda S/5™ BIS Module, E-BIS and accessories is a parameter module for monitoring the state of the brain by data acquisition of EEG signals of all hospitalized patients. The BIS, a processed EEG variable, may be used as an aid in monitoring the effects of certain anesthetic agents. The Datex-Ohmeda S/5TM BIS Module, E-BIS and its predicate M-BIS (K013389) are used in conjunction with Aspect Medical Systems, Digital Signal Converter-Expanded Performance, DSC-XP (K011534), Patient Interface Cable; PIC (K011534), and BIS Sensor Plus (K994330), BIS Sensor XP (K002734) or BIS Sensor Pediatric (K001980). The raw EEG signal can be displayed from one of the two monitored channels. The waveform size, color and sweep speed can be adjusted.

Calculated parameters are:

• Bispectral Index,BIS(Range=0-100),continuous processed EEG parameter correlating to the patient's level of hypnosis, where 100=awake and 0=comatose.
• Suppression Ratio,SR,(Range=0-100%), the percentage of epochs in the past 63 seconds in which the EEG signal is considered suppressed.
• . Electromyograph, EMG, the absolute power (in decibels) in the frequency range 70-110 Hz
• Signal Quality Index, SQI (Range:0-100%), the percentage of good epochs in the last 60sec. that could be used to calculate the Bispectral Index and spectral variables.

All the calculated parameters can be selected on the display, and trended.

Alarms for E-BIS are taken care of by the host monitor and follow the user interface for alarms in Datex-Ohmeda $/5 patient monitors. There are auditory and visual alarms and user adjustable limits for E-BIS. The default is OFF, because it doesn't provide information to be used for treatment or therapy. The BIS Engine at BIS module dictates error messages displayed at Datex-Ohmeda's host monitor's message fields and service page. These error messages are related to the BIS measurement, but follow Datex-Ohmeda user interface rules,

The provided text describes a Premarket Notification 510(k) Summary for the Datex-Ohmeda S/5™ BIS Module, E-BIS and accessories. However, it does not contain specific acceptance criteria or performance study details (e.g., accuracy, sensitivity, specificity, or results from clinical trials) in the format requested. The document primarily focuses on establishing substantial equivalence to a predicate device.

Here's an analysis based on the provided text:

• No detailed acceptance criteria or numerical performance metrics are explicitly stated in the document for the new device itself. The filing aims to demonstrate substantial equivalence to a predicate device (Datex-Ohmeda M-BIS Module (K013389)) based on similar technology, intended use, indications for use, and safety/effectiveness profiles.

• The document implies that the device meets existing standards by referencing various IEC, EN, CAN/CSA, UL, and AAMI standards, along with FDA guidance documents. These standards likely contain performance requirements, but the specific acceptance criteria and the device's reported performance against them are not enumerated in this summary.

Therefore, I cannot populate the table or answer all of your specific questions as the information is not present in the provided text.

Here's what can be extracted and inferred:

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

2. Sample size used for the test set and the data provenance
The document does not mention a specific test set, its sample size, or data provenance (e.g., country of origin, retrospective/prospective status) for a performance study. Nonclinical testing is mentioned in terms of validation and verification against standards.

3. Number of experts used to establish the ground truth for the test set and the qualifications of those experts
This information is not provided. No specific ground truth establishment for a test set is described.

4. Adjudication method (e.g. 2+1, 3+1, none) for the test set
This information is not provided.

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
This type of study is not mentioned. The device is an EEG measurement module with a BIS index, and the context doesn't suggest an AI-driven interpretive system that would typically involve human readers.

6. If a standalone (i.e. algorithm only without human-in-the-loop performance) was done
The document doesn't explicitly describe a standalone performance study with specific metrics. It states the device calculates parameters like BIS, SR, EMG, and SQI. The performance is implied to be equivalent to the predicate, which also operates in a "standalone" or "algorithm only" fashion in terms of producing these processed EEG variables.

7. The type of ground truth used (expert consensus, pathology, outcomes data, etc)
The concept of "ground truth" in the context of this device (an EEG measurement module with a BIS index) would typically relate to the accuracy of its physiological measurements against a reference standard or validated algorithms. However, this level of detail regarding specific ground truth for performance evaluation is not present in the summary. The "ground truth" used for training (if applicable) is also not specified.

8. The sample size for the training set
The document does not mention any training set or its sample size. This device appears to be based on established signal processing algorithms for EEG, rather than a machine learning model that would typically require a "training set" in the modern sense. The "BIS Engine" is mentioned as being the same as the predicate, suggesting a stable and established algorithm.

9. How the ground truth for the training set was established
This information is not provided, as no training set is mentioned.

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