(203 days)
Not Found
No
The description focuses on traditional statistical methods (FFT, univariate, bivariate, multivariate statistics, Z-scores, Mahalanobis Distance, discriminant analysis) and comparison to a normative database, without mentioning AI or ML algorithms or techniques.
No
The device is described as a software program for the post-hoc statistical analysis of EEG data, providing statistical tables and topographical brain maps for interpretation by a physician. It does not exert any direct therapeutic effect on the patient.
Yes.
The device performs "post-hoc statistical evaluation" of EEG data, including statistical comparisons to a normative database and discriminant analysis to "classify the patient in terms of their similarity to known neurometric-defined patterns of abnormality, providing a probability estimate of the patient's profile with the average profile of groups of individuals constituting the normative and clinical database." This process is clearly intended to aid in the identification or characterization of disease or conditions, which falls under the definition of a diagnostic device. The results are also stated to be for "comparison against a carefully constructed and statistically controlled age-regressed, normative database" to express differences between the patient and their age-matched reference group as Z-scores. The ultimate goal of the device is to evaluate "regional indices of brain function that reflect the perfusion fields of the brain" and determine if "the pattern of 'hits' (statistically, significant feature score values identified for the patient) are consistent with patterns of 'hits' identified in prior neurometric evaluations of clinical patients with known disorders."
Yes
The device is described as a "software program" and is distributed on "diskettes". It requires a "host system" for the EEG data and can be installed on "any appropriately configured IBM-compatible computer system". The description focuses entirely on the software's functionality and analysis methods, with no mention of proprietary hardware components included with the device itself.
Based on the provided information, the Neurometric Analysis System (NAS) is not an In Vitro Diagnostic (IVD) device.
Here's why:
- IVD Definition: An IVD device is used to examine specimens derived from the human body (such as blood, urine, tissue) to provide information for the diagnosis, monitoring, or treatment of a disease or condition.
- NAS Function: The NAS analyzes electroencephalogram (EEG) data, which is a recording of electrical activity in the brain. While this data is derived from the human body, it is not a biological specimen in the traditional sense of an IVD. The NAS is performing a statistical analysis of a physiological signal, not a biochemical or cellular analysis of a bodily fluid or tissue.
- Intended Use: The intended use is for the "post-hoc statistical evaluation of the human electroencephalogram (EEG)" by qualified medical professionals. This aligns with analyzing a physiological signal for diagnostic support, not performing a test on a biological sample.
- Device Description: The description details the processing of digital EEG data, including FFT, statistical analyses, and comparison to a normative database. This is consistent with analyzing a physiological signal.
- Input: The input is EEG data, not a biological specimen.
Therefore, the NAS falls under the category of a medical device that analyzes physiological signals, rather than an In Vitro Diagnostic device.
N/A
Intended Use / Indications for Use
The Neurometric Analysis System (NAS) is to be used by qualified medical professionals for the post-hoc statistical evaluation of the human electroencephalogram (EEG).
Product codes (comma separated list FDA assigned to the subject device)
OLU
Device Description
The Neurometric Analysis System (NAS) is a software program for the post-hoc statistical analysis of the human electroencephalogram (EEG). The EEG (i.e., the host system) is transferred to the NAS for display and user-review. The system requires that the user select approximately 2.00 minutes of artifact-free, eyes-closed, resting EEG from the recording for analysis. Analysis consists of the Fast-Fourier Transformation (FFT) of the data to extract the spectral power for each of the four primary frequency bands (delta, theta, alpha, and beta), and frequency information from the EEG. The results of this analysis are then subjected to univariate, bivariate, and multivariate statistical analyses and displayed in statistical tables and topographical brain maps of absolute and relative power, power asymmetry, and coherence for 19 monopolar and 8 selected bipolar derivations of the EEG. In all over 1200 measures are derived for comparison against a carefully constructed and statistically controlled age-regressed, normative database in which the variables have been transformed and confirmed for their Gaussian distribution. Each variable extracted by the analysis is compared to the database using parametric statistical procedures that express the differences between the patient and their appropriate age-matched reference group in the form of Z-scores. Multivariate features are compared to the normative database using Mahalanobis Distance Statistics. The Mahalanobis Distance statistic controls for the interrelationship of the measures of brain cortical function in the feature set, and provides an accurate estimate of their difference from normal. The multivariate measures permit an evaluation of regional indices of brain function that reflect the perfusion fields of the brain. Extracted feature sets are further analyzed to determine if the pattern of 'hits' (statistically, significant feature score values identified for the patient) are consistent with patterns of 'hits' identified in prior neurometric evaluations of clinical patients with known disorders. A step-wise discriminant analysis program classifies the patient in terms of their similarity to known neurometric-defined patterns of abnormality, providing a probability estimate of the patient's profile with the average profile of groups of individuals constituting the normative and clinical database. The discriminant classification program is restricted by confiniters potential outcomes to specific patient symptoms derived from the patient history. profile. Established discriminant functions were evaluated through the use of Receiver Operating Characteristic (ROC) curves for their sensitivity and specificity. The outcome of the statistical analysis is presented in report form that includes (a) patient demographic and history information, (b) selected EEG epochs, (c) statistical tables of monopolar, the lastery and multivariated feature values, and topographical brain maps. This information is to be read and interpreted within the context of the current clinical assessment of the patient by the attending physician. The decision to accept or reject the results of the neurometric analysis, and incorporate these results into their clinical appraisal of the patient, is dependent upon the judgment of the attending physician.
The Neurometric Analysis System is complete in a set of five 3.5 diskettes, which contains. a demonstration program with sample neurometric studies, the NAS program, and the a demonstration program. The NAS was designed for implementation under DOS and Windows, and programmed using C++. The user interface was carefully designed and implemented to programmed comb procedures are used to record steps used in program usage, and the conduct of the analysis to insure appropriate function and operation of the software. The NAS can be installed in any appropriately configured IBM-compatible computer system, including systems designed specifically for the recording of digital EEG. The system functions with systems access of standard computer platforms and input-output devices, and printers.
Mentions image processing
Not Found
Mentions AI, DNN, or ML
Not Found
Input Imaging Modality
Not Found
Anatomical Site
Brain
Indicated Patient Age Range
6 to 90 years
Intended User / Care Setting
Qualified medical professionals
Description of the training set, sample size, data source, and annotation protocol
Not Found
Description of the test set, sample size, data source, and annotation protocol
Non-clinical testing of the NAS included the evaluation of its need for data analysis. Specifically, control signals, in the form of signal generated waveforms, were analyzed for frequency and power. EEG signals were analyzed for conformity between the host digital EEG system and the NAS. The signals were able to reproduce the sampling frequency in the host digital EEG system, and permit the NAS translation. In addition, data obtained in previous implementations of the neurometric method were evaluated for consistency and accuracy; the results of the NAS's analysis of stored subject data had to conform to that of the prior analysis (which was conducted using the same method and procedures, algorithms and method of analysis as that implemented on the NAS).
The ability of the NAS to accurately translate and present EEGs from clinical patients was confirmed by the nonclinical testing. In order for the NAS to be an effective implementation of the neurometric method for clinical use, the results of the analysis (both statistical tables and topographical brain maps) had to be in agreement with the results of the analysis conducted on the host system used in the processing of patient information at the Brain Research Laboratory. In addition, the outcome of the discriminant analysis had to be consistent, not resulting in errors of misclassification (that is, the classification on the NAS had to be consistent with that of the host system used to perform the neurometric analysis at the BRL). These tests confirmed that when eyes-closed, resting, and artifact-free EEG was selected for analysis, the results were reproducible within an acceptable degree of variation consistent with reliability estimates identified in the normative studies.
Subjects upon which this device has been tested included individuals who ranged in age from 6 to 90 years, and who were either volunteers or clinical patients referred for neurometric evaluation to the Brain Research Laboratory by the Department of Psychiatry and Department of Neurology at New York University Medical Center.
Summary of Performance Studies (study type, sample size, AUC, MRMC, standalone performance, key results)
Non-clinical and Clinical Testing: The Neurometric Analysis System's design and implementation was based upon the results of an extensive, 20-year effort to construct a comprehensive normative and clinical database at the Brain Research Laboratory (BRL) at New York University's Medical Center. The NAS incorporates the basic methods of data acquisition, data selection, analysis, and interpretation developed at the BRL during the conduct of numerous government and privately funded normative and clinical database projects.
Key results: The results of non-clinical and clinical testing conducted over the past 20 years demonstrates that the NAS is both safe and effective for the quantitative analysis of the eyes-closed resting EEG in the alert human subject. Used to determine if the EEG is normal or abnormal, and if abnormal, to statistically characterize the distribution of selected neurometrically-derived features by their probability of being similarly distributed in specified groups of clinical patients, the NAS provides information that both complements and supplements the outcome of the analysis of a traditional EEG. This information, when properly used in conjunction with other clinical tests as a safe and effective adjunctive aid to diagnosis, treatment planning, and treatment follow-up of the neurologic and psychiatric patient.
Key Metrics (Sensitivity, Specificity, PPV, NPV, etc.)
Established discriminant functions were evaluated through the use of Receiver Operating Characteristic (ROC) curves for their sensitivity and specificity.
Predicate Device(s): If the device was cleared using the 510(k) pathway, identify the Predicate Device(s) K/DEN number used to claim substantial equivalence and list them here in a comma separated list exactly as they appear in the text. List the primary predicate first in the list.
K844481, K890-881, K894889, K801604, K843598, K860801, K860801, K840430, K870263, K951594, K904294, K912938
Reference Device(s): Identify the Reference Device(s) K/DEN number and list them here in a comma separated list exactly as they appear in the text.
Not Found
Predetermined Change Control Plan (PCCP) - All Relevant Information for the subject device only (e.g. presence / absence, what scope was granted / cleared under the PCCP, any restrictions, etc).
Not Found
§ 882.1400 Electroencephalograph.
(a)
Identification. An electroencephalograph is a device used to measure and record the electrical activity of the patient's brain obtained by placing two or more electrodes on the head.(b)
Classification. Class II (performance standards).
0
0.03
JUL 10 1998
K974748
FDA 510(k) Summary
Section 807.92
(a)(1). Submitter's Name: NxLink, Ltd., 1706 Gaillard Place, Richland, WA. 99352. Phone: (509)-943-1023; Fax: (509)-946-1208; email: nxduane@oneworld.owt.com.
Contact Person: Duane Shuttlesworth, Ph.D. NxLink, Ltd., 1706 Gaillard Place, Eichland, WA. 99352. Phone: (509)-943-1023; Fax: (509)-946-1208; email: nxduane@oneworld.ow.com.
Date of preparation: 10/25/97
(a)(2). Name of the Device: Neurometric Analysis System (NAS). Classification name: EEG Frequency Spectrum Analyzer.
(a)(3). Predicate/legally marketed devices upon which substantial equivalence is (a)(a); I resicatellerie any and acter to PDA information available); TECA Corporation Neurolab I, II (K844481), Brain Mapper (K890-881), Neuromapper 386 (K894889); Nicolet BEAM I, II (no FDA 510(k) information available); Pathinder II (K801604) Brain Functional Map (K843598); Cadwell Laboratories, Inc. 8400 (K860801) and Spectrum 32 (K860801 reference); Lexicor Medical Technology Neurosearch-24 Specuran 22 (200000 1 (42020038); Neuroscience, Inc. Map-10 EEG (K840430), (1990-209); 1620 (K870263); Biologics Systems Corporation, Inc., Modified Brain Nethomapper 1020 (107-1209), Automatic Event Analysis (K951594); Quantified Signal Imaging, Inc. QS1-9500 (K904294), QS1-9200 (FDA Š10(k) information not available); Stellate Systems, Inc. Rhythm Software (K912938).
(a)(4). Device Description: The Neurometric Analysis System (NAS) is a software (4)(9). Device Desting statistical analysis of the human electroencephalogram (EEG). program for the poor noo sective (i.e., the host system) is transferred to the NAS for display and user-review. The system requires that the user select approximately 2.00 minutes of artifact-free, eyes-closed, resting EEG from the recording for analysis. Analysis consists of the Fast-Fourier Transformation (FFT) of the data to extract the spectral power for each of the four primary frequency bands (delta, theta, alpha, and beta), and frequency information from the EEG. The results of this analysis are then subjected to univariate, bivariate, and multivariate statistical analyses and displayed in statistical tables and topographical brain maps of absolute and relative power, power asymmetry, and coherence for 19 monopolar and 8 selected bipolar derivations of the EEG. In all over 1200 measures are derived for comparison against a carefully constructed and statistically controlled age-regressed, normative database in which the variables have been transformed and confirmed for their Gaussian distribution. Each variable extracted by the analysis is compared to the database using parametric statistical procedures that express the differences between the patient and their appropriate age-matched reference group in the form of Z-scores. Multivariate features are compared to the normative database using
1
l 2
Mahalanobis Distance Statistics. The Mahalanobis Distance statistic controls for the interrelationship of the measures of brain cortical function in the feature set, and provides an accurate estimate of their difference from normal. The multivariate measures permit an evaluation of regional indices of brain function that reflect the perfusion fields of the brain. Extracted feature sets are further analyzed to determine if the pattern of 'hits' (statistically, significant feature score values identified for the patient) are consistent with patterns of 'hits' identified in prior neurometric evaluations of clinical patients with known disorders. A step-wise discriminant analysis program classifies the patient in terms of their similarity to known neurometric-defined patterns of abnormality, providing a probability estimate of the patient's profile with the average profile of groups of individuals constituting the normative and clinical database. The discriminant classification program is restricted by confiniters potential outcomes to specific patient symptoms derived from the patient history. profile. Established discriminant functions were evaluated through the use of Receiver Operating Characteristic (ROC) curves for their sensitivity and specificity. The outcome of the statistical analysis is presented in report form that includes (a) patient demographic and history information, (b) selected EEG epochs, (c) statistical tables of monopolar, the lastery and multivariated feature values, and topographical brain maps. This information is to be read and interpreted within the context of the current clinical assessment of the patient by the attending physician. The decision to accept or reject the results of the neurometric analysis, and incorporate these results into their clinical appraisal of the patient, is dependent upon the judgment of the attending physician.
The Neurometric Analysis System is complete in a set of five 3.5 diskettes, which contains. a demonstration program with sample neurometric studies, the NAS program, and the a demonstration program. The NAS was designed for implementation under DOS and Windows, and programmed using C++. The user interface was carefully designed and implemented to programmed comb procedures are used to record steps used in program usage, and the conduct of the analysis to insure appropriate function and operation of the software. The NAS can be installed in any appropriately configured IBM-compatible computer system, including systems designed specifically for the recording of digital EEG. The system functions with systems access of standard computer platforms and input-output devices, and printers.
(a)(5). Statement of Indications of Use: Indications for the use of the Neurometric Analysis System (NAS) are as follows:
Indications of Use
The Neurometric Analysis system is to be used by qualified medical profedssionals for the post-hoc statistical evaluation of the human electroencephalogram (EEG).
(a)(6). Comparison to Predicate Devices: The Neurometric Analysis System uses accepted methods of data selection and analysis to extract the feature measures upon which statistical determination of normal/abnormal are made, and from which derivations of probability estimates of clinical classification are derived. The neurometric method of
2
3
EEG selection, analysis, and interpretation have been previously implemented, in whole on in part, in a variety of digital EEG and analysis systems marketed in prior years for the quantitative analysis of the EEG in Man. The NAS database was carefully constructed to quandtative andiyas of the BLG M. H. J. Type II errors in the use of database comparisons in clinical electrophysiological assessment of the human EEG. The compansons in childed clectrophysions of the NAS has been enhanced relative to these purposendi, caby to ass the careful consideration of user interactions with this technologically advanced method of analysis.
(b). Non-clinical and Clinical Tests: The Neurometric Analysis System's design and implementation was based upon the results of an extensive, 20-year effort to construct a implementative and clinical database at the Brain Research Laboratory (BRL) at New York University's Medical Center. The NAS incorporates the basic methods of data Your children data selection, analysis, and interpretation developed at the BRL during the conduct of numerous government and privately funded normative and clinical database projects.
(b)(1). Non-clinical Testing: Non-clinical testing of the NAS included the evaluation of (0)(1). Non-cannear restlug. Non oneed for data analysis. Specifically, control signals, in the form of signal generated waveforms, were analyzed for frequency and power. EEG signals were analyzed for conformity between the host digital EEG system and the NAS. signals were and your to reproduces sampling frequency in the host digital EEG The 1070 menoves a learing and evaluation of the EEG waveforms for accuracy System, and permans the MAS translation. In addition, data obtained in previous implementations of the neurometric method were evaluated for consistency and accuracythe results of the NAS's analysis of stored subject data had to conform to that of the prior analysis (which was conducted using the same method and procedures, algorithms and method of analysis as that implemented on the NAS).
(b)(2). Clinical Testing: The ability of the NAS to accurately translate and present EEGs from clinical patients was confirmed by the nonclinical testing. In order for the NAS to be an effective implementation of the neurometric method for clinical use, the results of the analysis (both statistical tables and topographical brain maps) had to be in agreement with the results of the analysis conducted on the host system used in the processing of patient information at the Brain Research Laboratory. In addition, the outcome of the discriminant analysis had to be consistent, not resulting in errors of misclassification (that is, the classification on the NAS had to be consistent with that of the host system used to perform the neurometric analysis at the BRL). These tests confirmed that when eyes-closed, resting, and artifact-free EEG was selected for analysis, the results were reproducible within an acceptable degree of variation consistent with reliability estimates identified in the normative studies.
Subjects upon which this device has been tested included individuals who ranged in age from 6 to 90 years, and who were either volunteers or clinical patients referred for neurometric evaluation to the Brain Research Laboratory by the Department of Psychiatry
3
4
and Department of Neurology at New York University Medical Center. The results of the and Department of Neurology at New York Une visa asked to use the information as analysis were conveyed in the recenting prysicial who neaditional EEG. The information
an adjunct to their clinical interpretation of the patiented for statistical tables an adjunct to their clinical interpreation of the poches selected for analysis, staistical tables
was provided in report form (including EPG epochs selected for analysis) to was provided in report form (including LLC Cfreedinant and diagnosis or treat and topographic brain maps, and the result of the clises and disgnosis or treatment
physician to determine its relevance to the clinical evaluation and disgrosis of treatment of the patient. When the results are used in this manner, the likelihood of introducing of the patient. When the results are used in the mannely reduced. That is, the test is viewed as error into diagnosis and treatment is substantially resease. " which he subsidiary basis for the diagnosis.
Potential adverse effects of the use of the device are known if the Neurometric Analysis Potential adverse entects of the use of the Sevien (a use that is specifically contraindicated System is used as a stata-alone angliopers) in the absence of other clinical data from more by NXLMK and the system's developed by this a only upon the use of a single index (such thatitional means of patient overaphical maps alone) without reviewing the traditional as relative power, or the topograpisca inthe complete set of statistical summary tables is
and epochs selected for analysis, or the complete set of statistical summers of sp also contraindicated and a source of potential error. Additional sources of error could arise from the inappropriate selection of EEG (selecting artifacted EEG epochs, or selecting EEG representative of other states, such as drowsiness or eyes-open EEG, or by selecting ECO representative of other than those specified. Additionally, it is purposely selecting concirculars through the purposeful falsification of symptoms in the patient history, and patient age.
(b)(3) Conclusions Drawn From Non-Clinical and Clinical Testing: The appropriate (0)(0) Concellent Dransysis System as an adjunct to the traditional visually-appraised ase of the Noardinonia is and your with the ability to quantify EEG variables and use them to answer questions drawn from their clinical experience with the patient. When used by an experienced, qualified practitioner, or under the proper supervision of a qualified medical professional, the NAS is concluded to be a useful and beneficial addition to the array of clinically accepted medical tests and devices used to evaluate brain structure and finction.
The results of non-clinical and clinical testing conducted over the past 20 years demonstrates that the NAS is both safe and effective for the quantitative analysis of the eyes-closed resting EEG in the alert human subject. Used to determine if the EEG is normal or abnormal, and if abnormal, to statistically characterize the distribution of selected neurometrically-derived features by their probability of being similarly distributed in specified groups of clinical patients, the NAS provides information that both complements and supplements the outcome of the analysis of a traditional EEG. This information, when properly used in conjunction with other clinical tests as a safe and effective adjunctive aid to diagnosis, treatment planning, and treatment follow-up of the neurologic and psychiatric patient.
Compared to its predicate devices, the Neurometric Analysis System's inclusion of specific, appropriate, and effective statistical controls over the method of data selection
4
-5 .
and analysis, the scientific rigor involved in the construction, refinement, and application and analysis, the scientific rigor involved in the constition, resulting providers with alle the normative indices of brain structure and finction that is oth safe of the notificative indices of brain structure and tunction the fish of our and of comments.
and effective and suggests hat the NAS is a significant advancement in the use of and effective, suggests that the NAS is a signinoun. Count
5
Image /page/5/Picture/1 description: The image shows the logo for the Department of Health & Human Services USA. The logo consists of a circle with the text "DEPARTMENT OF HEALTH & HUMAN SERVICES USA" around the perimeter. Inside the circle is a stylized image of three human profiles facing right, with flowing lines representing hair or clothing.
Food and Drug Administration 10903 New Hampshire Avenue Document Control Room -WO66-G609 Silver Spring, MD 20993-0002
Duane Shuttlesworth,Ph.D. NxLink, Ltd. 1706 Gaillard Place Richland, Washington 99352
Re: K974748
Trade/Device Name: Neurometric Analysis System Regulation Number: 21 CFR 882.1400 Regulation Name: Electroencephalograph Regulatory Class: II Product Code: OLU Dated (Date on orig SE ltr): April 8, 1998 Received (Date on orig SE Itr): April 13, 1998
Dear Mr. Shuttlesworth:
This letter corrects our substantially equivalent letter of July 10, 1998.
We have reviewed your Section 510(k) premarket notification of intent to market the device referenced above and have determined the device is substantially equivalent (for the indications for use stated in the enclosure) to legally marketed predicate devices marketed in interstate commerce prior to May 28, 1976, the enactment date of the Medical Device Amendments, or to devices that have been reclassified in accordance with the provisions of the Federal Food, Drug, and Cosmetic Act (Act) that do not require approval of a premarket approval application (PMA). You may, therefore, market the device, subject to the general controls provisions of the Act. The general controls provisions of the Act include requirements for annual registration, listing of devices, good manufacturing practice, labeling, and prohibitions against misbranding and adulteration. Please note: CDRH does not evaluate information related to contract liability warranties. We remind you, however, that device labeling must be truthful and not misleading.
If your device is classified (see above) into either class II (Special Controls) or class III (PMA), it may be subject to additional controls. Existing major regulations affecting your device can be found in the Code of Federal Regulations, Title 21, Parts 800 to 898. In addition, FDA may publish further announcements concerning your device in the Federal Register.
APR - 9 2012
6
Please be advised that FDA's issuance of a substantial equivalence determination does not mean that FDA has made a determination that your device complies with other requirements of the Act or any Federal statutes and regulations administered by other Federal agencies. You must comply with all the Act's requirements, including, but not limited to: registration and listing (21 CFR Part 807); labeling (21 CFR Part 801); medical device reporting (reporting of medical device-related adverse events) (21 CFR 803); good manufacturing practice requirements as set forth in the quality systems (QS) regulation (21 CFR Part 820); and if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR 1000-1050.
If you desire specific advice for your device on our labeling regulation (21 CFR Part 801), please go to http://www.fda.gov/AboutFDA/CentersOffices/CDRH/CDRHOffices/ucm115809.htm for the Center for Devices and Radiological Health's (CDRH's) Office of Compliance. Also, please note the regulation entitled. "Misbranding by reference to premarket notification" (21CFR Part 807.97). For questions regarding the reporting of adverse events under the MDR regulation (21 CFR Part 803), please go to
http://www.fda.gov/MedicalDevices/Safety/ReportaProblem/default.htm for the CDRH's Office of Surveillance and Biometrics/Division of Postmarket Surveillance.
You may obtain other general information on your responsibilities under the Act from the Division of Small Manufacturers, International and Consumer Assistance at its toll-free number (800) 638-2041 or (301) 796-7100 or at its Internet address
http://www.fda.gov/MedicalDevices/ResourcesforYou/Industry/default.htm.
Sincerely yours,
Kesia Alexander
Image /page/6/Picture/8 description: The image shows the word "for" written in cursive. The letters are connected and flow together smoothly. The "f" has a large loop that extends above and below the other letters. The "o" and "r" are smaller and sit in the middle of the "f".
Malvina B. Eydelman, M.D. Director Division of Ophthalmic, Neurological, and Ear. Nose and Throat Devices Office of Device Evaluation Center for Devices and Radiological Health
Enclosure
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Page 1 of 1
. . . . . .
510(k) Number (if known): K974748
Device Name: Neurometric Analysis System
Indications For Use: The Neurometric Analysis System (NAS) is to be used by qualified medical professionals for the post-hoc statistical evaluation of the human electroencephalogram (EEG).
(PLEASE DO NOT WRITE BELOW THIS LINE-CONTINUE ON ANOTHER PAGE IF NEEDED)
| Concurrence of CDRH, Office of Device Evaluation (ODE) | ||
|---|---|---|
| (Division Sign-Off) | ||
| Division of General Restorative Devices | ||
| 510(k) Number | K994748 | |
| Prescription Use | ||
| Per 21 CRF 801.109 | OR | Over-The-Counter Use |
(Optional Format 1-2-96)
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