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510(k) Data Aggregation
(222 days)
IMPEDIMED - BODY COMPOSITION ANALYZER, MODEL IMP SFB7
(1) Imp SFB7 – A bioelectrical impedance analyzer/monitor that is intended to estimate the following body composition parameters: Fat-free Mass (FFM), Fat Mass (FM), Total Body Water (TBW), Intra cellular Fluid (ICF), Extra cellular Fluid (ECF), and Body Mass Index (BMI). The device measures current, voltage and phase angle (Phi), and from these values calculates resistance (R), reactance (Xc), and impedance (Z), which are used to estimate the above body composition parameters. The device/software will also display the Cole-Cole plot, resistance vs. frequency plot, reactance vs. frequency plot, subject height, age and sex.
(2) Biolmp Body Composition Analyzer PC Software: A PC software package that is intended to be used only with the ImpediMed Imp SFB7 Analyzer for uploading the MFBIA mode data on to the PC from Imp SFB7 via an Ethernet port for storing, processing and analysing of MFBIA bioimpedance measurements. This displays Cole-Cole plot, body composition parameters: Fatfree Mass (FFM), Fat Mass (FM), Total Body Water (TBW), Intra cellular Fluid (ICF), Extra cellular Fluid (ECF), Body Mass Index (BMI), and subject height, weight, age, sex, time, and date of measurement, Practitioner's name and Device serial number, and bioelectrical parameters resistance (R), reactance (Xc), and impedance (Z) and phase angle (Phi) at different frequencies (Between 4 kHz to 1000 kHz). The software can be used to generate patient body composition report displaying all the parameters stated above.
These devices are intended to be used only on healthy patients, who wish to have their body composition estimated in the home or clinical environment.
The Imp SFB7 is a multiple frequency bioelectrical impedance analyzer. The device accurately measures current, voltage and phase angle, and calculates impedance, resistance and reactance. These measurements and calculations are used to estimate the body composition: fat-free mass (FFM) and fat mass (FM), and fluid distribution: total body water (TBW), intracellular fluid (ICF), and extracellular fluid (ECF).
The device has 2 modes of operation
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MFBIA Mode This is a Multiple Frequency Bioelectrical Impedance mode. Impedance readings are taken by applying all 256 frequencies sequentially in a very short time in the range of 4 kHz to 1000 kHz.
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Selected Frequencies Mode - Any three user selected frequencies between 4 kHz to 1000 kHz and five pre set (5, 10, 50, 100, 500 kHz) frequencies are used to measure impedance of a subject.
In MFBIA and Selected Frequencies mode, selection of single, continuous measurements or measurements at a selected interval of time is available. Over 1000 records can be stored and analyzed on Imp SFB7 or can be downloaded to a PC or laptop loaded with an optional Biolmp Body Composition Analysis software via an Ethernet connection.
The ImpediMed Imp SFB7 Body Composition Analyzer is a rechargeable battery powered, accurate, portable, multiple frequency bioelectrical impedance analysis instrument operating in tetra-polar (4 leads - 2 current source and 2 voltage sensing) mode. The device accurately measures current, voltage and phase angle, and calculates impedance, resistance and reactance.
Bioimpedance analyzers calculate complex impedance or opposition to the flow of an electric current by the body. The applied electrical current travels through the extra cellular fluid of the body and through the lean muscle-organs via the intracellular fluid. Impedance is low in lean tissue, extra cellular fluid and intracellular fluid, where electrolytes are primarily contained, but high in fat tissue because fat is primarily an insulator containing very few conducting elements. Therefore impedance can be related to the total water volume of the body because the impedance is a direct measure of both intracellular and extra cellular fluid. In the Imp SFB7 a small constant current, typically 200 uA RMS, with in the frequency range of 4 kHz to 1000 kHz sequentially, is passed between two current electrodes spanning the body. The voltage drop measured between a second pair of voltage-sensing electrodes is used to calculate the complex impedance value. The calibration of the device may be checked with the aid of the supplied test cell.
MFBIA Mode:
Imp SFB7 in MFBIA mode works by calculating the complex impedance, applying all 256 frequencies (4 kHz to 1000 kHz) sequentially in a very short time to reduce the time to complete the test and the inconvenience to the subject.
Impedance calculations made over a range of frequencies (4 kHz-1000 kHz) are used to create a Cole-Cole plot. Hanai modeling, which treats body as a concentrated suspension of cells in a conductive medium is used to estimate extracellular fluid (ECF) at low frequency and total body water (TBW) at high frequency. Intra cellular fluid (ICF) is then estimated by the difference between TBW and ECF. Fat free mass (FFM) is estimated from measured TBW assuming the hydration constant of a person as 73.2%. Fat mass (FM) is estimated from the difference between body mass and fat free mass.
Selected Frequencies Mode:
Imp SFB7 in Selected Frequencies mode has 5 pre set frequencies (5, 10, 50, 100, 500 kHz) and allows user to enter 3 frequencies of their choice in the range of 4 kHz to 1000 kHz to measure impedance of a subject. It measures, displays, and stores the impedance readings for these selected frequencies.
Here's an analysis of the acceptance criteria and study information for the ImpediMed Imp SFB7 Body Composition Analyzer, based on the provided text:
Based on the provided snippets, a formal acceptance criteria table with specific numerical thresholds and a detailed study proving those thresholds were met is not explicitly present. The documents primarily focus on regulatory submission, device description, and indications for use.
However, we can infer some information about the device's performance claims and the general approach to demonstrating its functionality.
Inferred Acceptance Criteria and Reported Device Performance
Since no specific "acceptance criteria" table or quantitative performance metrics (e.g., accuracy percentages, standard deviations) are provided in the current document, this table will reflect the general capabilities and intended functions described. The implied acceptance criterion is that the device accurately measures and calculates the stated body composition parameters.
Acceptance Criteria (Inferred from Device Description) | Reported Device Performance (Inferred from Device Description) |
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Accurate measurement of current | Device accurately measures current. |
Accurate measurement of voltage | Device accurately measures voltage. |
Accurate measurement of phase angle | Device accurately measures phase angle. |
Calculation of impedance, resistance, and reactance | Device calculates impedance, resistance, and reactance. |
Estimation of Fat-Free Mass (FFM) | Device estimates FFM. |
Estimation of Fat Mass (FM) | Device estimates FM. |
Estimation of Total Body Water (TBW) | Device estimates TBW. |
Estimation of Intracellular Fluid (ICF) | Device estimates ICF. |
Estimation of Extracellular Fluid (ECF) | Device estimates ECF. |
Display of Cole-Cole plot | Device/Software displays Cole-Cole plot. |
Display of resistance vs. frequency plot | Device/Software displays resistance vs. frequency plot. |
Display of reactance vs. frequency plot | Device/Software displays reactance vs. frequency plot. |
Measurement over a frequency range of 4 kHz to 1000 kHz | Device operates in the frequency range of 4 kHz to 1000 kHz. |
Operation in MFBIA Mode (sequential 256 frequencies) | Device operates in MFBIA mode with all 256 frequencies. |
Operation in Selected Frequencies Mode (5 preset + 3 user-selected) | Device operates in Selected Frequencies Mode with 5 preset and 3 user-selected frequencies. |
Study Details (Limited information available in the provided text):
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Sample size used for the test set and the data provenance:
- Sample size: Not specified in the provided documents.
- Data provenance: Not specified. The company is Australian, so it's possible the data is from Australia, but this is not confirmed. It's also not stated if the data is retrospective or prospective.
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Number of experts used to establish the ground truth for the test set and the qualifications of those experts:
- Not specified. The document does not describe the specific study methodology that would involve experts establishing ground truth for a test set.
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Adjudication method (e.g. 2+1, 3+1, none) for the test set:
- Not specified. This detail would only be relevant if a formal expert-based ground truth adjudication process was described.
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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:
- Not mentioned. This device is a diagnostic tool for body composition, not an AI-assisted diagnostic imaging tool that would typically involve human readers interpreting images. Therefore, an MRMC study in that context is unlikely for this type of device.
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If a standalone (i.e. algorithm only without human-in-the-loop performance) was done:
- The provided document describes the device as performing direct measurements and calculations. The "Imp SFB7" is the standalone device that measures and calculates the body composition parameters. The "Biolmp Body Composition Analyzer PC Software" processes and analyzes the data from the standalone device. This implies a standalone computational performance of the device's algorithms. However, explicit performance metrics for this standalone performance (e.g., against a gold standard) are not detailed in these documents.
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The type of ground truth used (expert consensus, pathology, outcomes data, etc.):
- Not specified. Body composition analysis typically uses methods like DEXA (Dual-energy X-ray absorptiometry) or hydrostatic weighing as a "gold standard" for ground truth. However, the document does not state which, if any, gold standard was used for validation.
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The sample size for the training set:
- Not specified. If the device uses predictive models (which BIA often does), a training set would be used. The document describes the methodology and calculations (e.g., Hanai modeling, 73.2% hydration constant) but does not detail how these models were derived or trained on a specific dataset.
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How the ground truth for the training set was established:
- Not specified. As noted above, the existence of a distinct "training set" with established ground truth is not detailed in these documents. The mention of "Hanai modeling" and assumed hydration constants suggests established physiological models are being applied, rather than machine learning on a specific, newly curated training dataset with its own ground truth establishment.
Summary of Missing Information and Context:
The provided documents are primarily a 510(k) summary and FDA clearance letter. These types of documents typically focus on demonstrating substantial equivalence to a predicate device and outlining the device's intended use and technological characteristics, rather than providing detailed clinical study protocols, acceptance criteria tables with performance statistics, or in-depth ground truth methodologies. For such details, one would usually refer to a more comprehensive clinical validation report or scientific publications.
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