K Number
K092431
Date Cleared
2009-10-08

(62 days)

Product Code
Regulation Number
870.2770
Panel
GU
Reference & Predicate Devices
AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
Intended Use

This device is intended to estimate PBF(Percentage of Body Fat), MBF(Mass of Body Fat), LBM(Lean Body Mass), TBW(Total Body Water), BMI(Body Mass Index), BMR(Basic Metabolic Rate), Segmental LBM, ICW(Intra-Cellular Water), ECW(Extra-Cellular Water), and ratio of ECW/TBW using the BIA(Bio-electrical Impedance Analysis) method. The device measures or calculates the impedance, BMI(Body Mass Index), weight, and WHR(Waist to Hip Ratio) of the user.

This device is intended for use only in healthy subjects between the age of 7-89.

Device Description

The ioi 353 is body composition analyzer is intended for use only in healthy subjects between the age of 7-89. The device employs BIA(Bio-electrical Impedance Analysis) method and 8 electrodes placed on hands and feet, and then measure body composition using an experimentally derived algorithm. The device is powered by AC adapter.

AI/ML Overview

The Jawon Medical Body Composition Analyzer Model ioi 353 did not undergo clinical testing to establish its performance against specific acceptance criteria. Instead, substantial equivalence was claimed based on compliance with electrical safety and electromagnetic compatibility standards and the device's technological similarity to predicate devices.

1. Table of Acceptance Criteria and Reported Device Performance

ParameterAcceptance CriteriaReported Device Performance
Electrical SafetyCompliance with IEC 60601-1Meets IEC 60601-1 requirements
Electromagnetic Compatibility (EMC)Compliance with EN 60601-1-2Meets EN 60601-1-2 requirements
Device FunctionalityMeasures/outputs/determines the same quantities as predicate device GAIA 359 PLUS (PBF, MBF, LBM, TBW, BMI, BMR, Segmental LBM, ICW, ECW, ECW/TBW, impedance, weight, WHR).Same functionality as GAIA 359 PLUS.
Measurement FrequenciesUses the same frequencies as predicate device GAIA 359 PLUS.Uses the same frequencies as GAIA 359 PLUS.
Electrode Pattern and NumberUses the same electrode pattern and number of electrodes as predicate device GAIA 359 PLUS.Uses the same electrode pattern and number of electrodes as GAIA 359 PLUS.

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

No specific test set or clinical data is provided for the ioi 353 device, as it was not clinically tested. The evaluation relies on non-clinical tests (electrical safety and EMC) and comparison to a predicate device.

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

Not applicable, as no clinical test set was used for the ioi 353.

4. Adjudication Method for the Test Set

Not applicable, as no clinical test set was used for the ioi 353.

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

No MRMC study was conducted or referenced. The submission explicitly states the device was "not clinically tested."

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

No standalone performance study for the algorithm was conducted or referenced in this document. The device's performance is inferred by its similarity to predicate devices.

7. Type of Ground Truth Used

The ground truth for the device's safety and effectiveness relies on compliance with international standards (IEC 60601-1, EN 60601-1-2) and the established performance of its predicate device (GAIA 359 PLUS and XBIA 500), rather than direct comparison to a clinical ground truth.

8. Sample Size for the Training Set

Not applicable. This device is not described as having an AI algorithm requiring a training set in the context of this 510(k) summary. Its algorithm is "experimentally derived," implying a fixed, pre-determined calculation based on BIA, not a machine learning model.

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

Not applicable, as no AI training set is mentioned for this device. The "experimentally derived algorithm" for the Body Composition Analyzer (using BIA) would typically be based on established physiological models and correlations between impedance measurements and body composition, often developed through various research studies, but not specifically described as a machine learning training set in this submission.

§ 870.2770 Impedance plethysmograph.

(a)
Identification. An impedance plethysmograph is a device used to estimate peripheral blood flow by measuring electrical impedance changes in a region of the body such as the arms and legs.(b)
Classification. Class II (special controls). The device, when it is a body composition analyzer which is not intended to diagnose or treat any medical condition, is exempt from the premarket notification procedures in subpart E of part 807 of this chapter subject to the limitations in § 870.9.