TANITA SEGMENTAL BODY COMPOSITION ANALYZER, MODEL BC-418
K033157 · Tanita Corp. of America · MNW · Apr 8, 2004 · Cardiovascular
Device Facts
Record ID
K033157
Device Name
TANITA SEGMENTAL BODY COMPOSITION ANALYZER, MODEL BC-418
Applicant
Tanita Corp. of America
Product Code
MNW · Cardiovascular
Decision Date
Apr 8, 2004
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 870.2770
Device Class
Class 2
Attributes
Pediatric
Indications for Use
A body composition analyzer that measures body weight and impedance and estimates total and segmental body fat percent, body mass index (BMI), fat mass, fat-free mass, regional muscle mass, basal metabolic rate, and total body water using BIA (bioelectrical impedance analysis) in healthy children (7-17 years old) and healthy adults.
Device Story
Computer-operated body composition analyzer; utilizes segmental bioelectrical impedance analysis (BIA) to determine body weight, body fat percentage, and regional muscle mass. Inputs: electrical impedance measurements via scale electrodes. Transformation: BIA technology calculates body composition metrics. Outputs: body weight, body fat %, BMI, fat mass, fat-free mass, regional muscle mass, BMR, and total body water. Used in clinical settings; operated by healthcare professionals. Output provides quantitative data to assist in assessing patient body composition and metabolic status.
Clinical Evidence
No clinical data provided. Substantial equivalence based on comparison of BIA methodology and performance characteristics to predicate device.
Technological Characteristics
Segmental BIA technology; computer-operated scale form factor. Measures impedance to estimate body composition. No specific materials or software architecture details provided.
Indications for Use
Indicated for healthy children (7-17 years) and healthy adults to measure body weight and impedance to estimate body fat, BMI, fat mass, fat-free mass, regional muscle mass, BMR, and total body water.
Regulatory Classification
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.
Special Controls
*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.
Predicate Devices
TANITA Body Fat Analyzer Professional Model TBF-410 (K014009)
Submission Summary (Full Text)
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APR = 8 2004
# SUMMARY
This summary of 510(k) safety and effectiveness information is being submitted in accordance with the requirements of SMDA 1990 and 21 CFR §807.92
| Trade Name: | TANITA BC-418, Segmental Body Composition Analyzer |
|----------------------|----------------------------------------------------|
| Common Name: | Body Composition Analyzer / Body Fat Analyzer |
| Classification Name: | ANALYZER, BODY COMPOSITION<br>21 CFR § 870.2770 |
## Description of Applicant Device:
The TANITA BC-418, Segmental Body Composition Analyzer is a computer-operated body composition analyzer that utilizes BIA (bioelectrical impedance analysis) to determine body fat percent and regional muscle mass.
#### Intended Uses of Applicant Device:
Intended to be used as a body fat analyzer that determines body weight and estimates body fat and skeletal muscle mass with the use of BIA (bioelectrical impedance analysis). Other outputs include BMR (basal metabolic rate), TBW (total body water), and BMI (body mass index).
## Predicate Device:
TANITA Body Fat Analyzer Professional Model TBF-410 K014009
#### Scientific Concepts and Significant Performance Characteristics:
| | Body Fat Analyzer<br>Model TBF-410<br>K014009 | Segmental Body Composition<br>Analyzer<br>Model BC-418 |
|----------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| INTENDED USE: | A combination non-invasive<br>device, which determines weight<br>and estimates body fat<br>composition using BIA<br>(bioelectrical impedance<br>analysis). | A combination non-invasive<br>device, which determines weight<br>and estimates body fat<br>composition and muscle mass<br>using BIA (bioelectrical<br>impedance analysis). |
| PRODUCT DESCRIPTION: | Body composition analyzer/scale<br>that utilizes a "foot-to-foot" BIA<br>(bio- electrical impedance)<br>technology to determine internal<br>body composition. | Body composition analyzer/scale<br>that utilizes segmental BIA (bio-<br>electrical impedance) technology<br>to determine internal body<br>composition. |
| ANALYTICAL<br>METHOD/MEASUREMENT | • Foot-to-Foot BIA<br>• In-house BIA and DEXA<br>reference methods | • Segmental BIA<br>• In-house BIA and DEXA<br>reference methods |
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# 510(k) SUMMARY, continued
This summary of 510(k) safety and effectiveness information is being submitted in accordance with the requirements of SMDA 1990 and 21 CFR §807.92
Side by side comparisons of the TANITA BC-418, Segmental Body Composition Analyzer to the predicate device Body Fat Analyzer Professional Model TBF-410 clearly demonstrate that the applicant device is substantially equivalent to the legally marketed device.
Based on the results of using the previously approved BIA methodology with our whole body BIA, it was concluded that the TANITA BC-418, Segmental Body Composition Analyzer performs as well as the predicate device and therefore have proven its safety and efficacy.
Rhoda Lynn Valera TANITA Corporation of America Requlatory Affairs Specialist
Phone: (847) 434-3966 (847) 640-7978 Fax:
September 26, 2003
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Image /page/2/Picture/12 description: The image shows the seal of the Department of Health and Human Services (HHS). The seal is circular and contains the words "DEPARTMENT OF HEALTH & HUMAN SERVICES - USA" around the perimeter. In the center of the seal is an abstract image of an eagle.
Food and Drug Administration 9200 Corporate Boulevard Rockville MD 20850
APR - 8 2004
Ms. Rhoda Lynn N. Valera Regulatory Affairs Specialist Tanita Corporation of America, Inc. 2625 South Clearbrook Drive ARLINGTON HEIGHTS IL 60005
Re: K033157
Trade/Device Name: Tanita Segmental Body Composition Analyzer BC-418 Regulation Number: 21 CFR §870.2770 Regulation Name: Impedance plethysmograph Regulatory Class: II Product Code: 74 MNW Dated: January 9, 2004 Received: January 12, 2004
Dear Ms. Valera:
We have reviewed your Section 510(k) premarket notification of intent to market the device we nave reviewed your becamined the device is substantially equivalent (for the indications for use stated in the enclosure) to legally marketed predicate devices marketed in interstate for use stated in the encreatived of the enactment date of the Medical Device Amendments, or to comments provision to May 20, 1978, are cance with the provisions of the Federal Food, Drug, de vices that have been require approval of a premarket approval application (PMA). allo Cosmette Her (110) that to novice, subject to the general controls provisions of the Act. The r ou may, dicrolore, mains of the Act include requirements for annual registration, listing of gencial controls provisions of ractice, labeling, and prohibitions against misbranding and adultcration.
If your device is classified (see above) into either class II (Special Controls) or class III (PMA), If your device is classified (600 and 10) . 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.
Please be advised that FDA's issuance of a substantial equivalence determination does not mean i that FDA has made a determination that your device complies with other requirements of the Act that I D.A has made a actuations administered by other Federal agencies. You must or any I ederal statutes and registements, including, but not limited to: registration and listing comply with and rice broquent (FR Part 801); good manufacturing practice requirements as set (21 CFR Part 007), assemis (QS) regulation (21 CFR Part 820); and if applicable, the clectronic forth in the quant) 05 sections (sections 531-542 of the Act); 21 CFR 1000-1050.
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Page 2
This letter will allow you to begin marketing your device as described in your Section 510(k) I his letter will anow you to ocgin markering of substantial equivalence of your device to a legally prematication. The PDF maily to proceed to the market.
If you desire specific advice for your device on our labeling regulation (21 CFR Part 801), please If you desite specific advice for your control to the following numbers, based on the regulation number at the top of the letter:
| 8xx.1xxx | (301) 594-4591 |
|----------------------------------|----------------|
| 876.2xxx, 3xxx, 4xxx, 5xxx | (301) 594-4616 |
| 884.2xxx, 3xxx, 4xxx, 5xxx, 6xxx | (301) 594-4616 |
| 892.2xxx, 3xxx, 4xxx, 5xxx | (301) 594-4654 |
| Other | (301) 594-4692 |
Additionally, for questions on the promotion and advertising of your device, please contact the Augulany, for questions on the personal prosse note the regulation entitled, "Misbranding by reference to premarket notification" (21CFR Part 807.97) you may obtain. Other general by releasence to premarked notification (er the Act may be obtained from the Division of Small Information on your responsionaliss and Consumer Assistance at its toll-five number (800) 638-2041 or Mandiacturers, Theemadonal ans Colless http://www.fda.gov/cdrl/dsmaldsmamain.html.
Sincercly yours,
Nancy C. Brogdon
Srogdon Nancy C. F Director, Division of Reproductive, Abdominal and Radiological Devices Office of Device Evaluation Center for Devices and Radiological Health
Enclosure
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| 510(k) Number: | K033157 |
|----------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Device Name: | TANITA BC-418, Segmental Body Composition Analyzer |
| Indications for Use: | A body composition analyzer that measures body weight and<br>impedance and estimates total and segmental body fat<br>percent, body mass index (BMI), fat mass, fat-free mass,<br>regional muscle mass, basal metabolic rate, and total body<br>water using BIA (bioelectrical impedance analysis) in healthy<br>children (7-17 years old) and healthy adults. |
# (PLEASE DO NOT WRITE BELOW THIS LINE -- CONTINUE ON ANOTHER PAGE IF NEEDED)
Concurrence of CDRH, Office of Device Evaluation (ODE)
Prescription Use (Per 21 CFR 801.109) OR
Over-the-Counter Use
(Optional Format 1-2-96)
Nancy Hodgson
Division Sign Off
(Division Sign-Off) Division of Reproductive, Abdominal, and Radiological Devices 510(k) Number
Two short videos show you everything — or skip straight to the written tutorial if you'd rather read. You can reopen this any time from the Tutorial button in the top bar.
Part 1 — Search, results, and everyday workflows 16 min
Part 2 — Embeddings: the galaxy map 3 min
1. Search: exact and fuzzy
Type a phrase like "coronary artery calcification" into the search box. You get two kinds of results. Exact results match the literal phrase — prefix searches work ("coronary artery calcificati") but suffix searches do not. Fuzzy results match on the meaning and intent of your phrase rather than the exact words, and are sorted by relevance score. Hover over the Exact or Fuzzy badge on any row to see exactly why it matched.
Use the checkboxes above the results to narrow: SaMD keeps only software-only devices, AI / ML keeps only devices with AI.
Exact vs. fuzzy search: what's the difference?
Exact matches on the literal phrase (prefix search works, suffix does not). Fuzzy matches on the meaning and intent of the phrase rather than the exact words. Hover over the badge on any row to see why it matched.
You search "coronary artery calcification" and want only software devices with AI. What two filters do you apply?
Narrow by SaMD (software-only devices), then narrow by AI/ML (devices with AI).
2. The results table
Scroll right in the results table. The intended use is extracted for you — no need to open the PDF. The device story gives a high-level snapshot of what the device does and how it's used. The AI Performance sub-table shows each output name, acceptance criteria, observed values, and development/test dataset descriptions — the same format Innolitics uses for regulatory strategy outputs, and the fastest high-level fingerprint of an AI device. It is AI-generated but has been very reliable in practice.
Where do you find a device's intended use without opening the PDF?
Scroll right in the search results table. The intended use column is extracted for you; no need to dig into the 510(k) summary PDF.
What does the AI Performance sub-table show, and why is it useful?
Output name, acceptance criteria, observed values, development dataset description, and test dataset description. It's the same format we use for regulatory strategy output and Fast 510(k) input, and the fastest high-level fingerprint of an AI device. AI-generated but reliable in practice.
3. Judging fuzzy relevance
Fuzzy results trail off in relevance as you scroll. Use three signals to decide how far down to go: the fuzzy badge explanations, the intended use column, and whether your target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, you're past the relevant zone. A top hit with a low score (~0.4) and a stretched explanation is a hint the closest predicates are far away — the project may be headed for De Novo. Note the fuzzy search is a pattern match: it doesn't handle negation ("not") well, and hardware devices can appear — filter by SaMD/AI ML to cut them.
How do you judge how far down fuzzy search results to go?
Use the relevancy signals: the fuzzy badge explanations, the intended use column, and whether the target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, results are trailing off in relevancy.
4. Device detail page: chat and citations
Click a device name to open its detail page: device facts on the left, a chat window on the right. Ask something like "Describe the training data". The answer carries little citation bubbles — click one to jump to the highlighted passage in the source PDF, so you can verify every AI answer against the document. There's also a Download PDF button for sharing.
How do you verify an AI chat answer on the device detail page?
Click the citation bubbles to jump to the relevant highlight in the source document.
Reading rule for every project: how many summaries do you read in full?
At least the three most relevant 510(k) or De Novo summaries, in full. After that, use targeted chat questions to confirm your memory quickly. The tool supports this professional habit — it doesn't replace it.
5. Side-by-side comparison
Select multiple rows in the results table (aim for under ~10), then open the PDF Viewer tab. Ask one question — it goes to all selected devices in parallel, each with citations. This is the fastest way to compare and contrast devices: training data, PCCP scope, how they handled adding new scanners, and so on.
What does the side-by-side PDF viewer mode do?
Select multiple devices, open the PDF viewer tab, and ask one question (e.g., "Describe the training data"). It queries all selected devices simultaneously with citations, so you can compare and contrast quickly.
6. Collections
With rows selected, go to the Collections tab and create a labeled collection (e.g., "Cobb Angle Project"). Reload that selection any time — before a client call, pull up the collection and ask questions across all of its devices at once.
How do you save a set of selected devices for later use?
Select the rows, go to the Collections tab, and create a labeled collection (e.g., "Cobb Angle Project"). You can reload the selection anytime and carry it into the PDF viewer and other tabs that support selections.
7. Product codes and the regulations tree
Click a product code in the results to jump to it in the regulations tree — identification text, sibling product codes, and devices you can open in a PDF viewer on the right. Click a regulation number to see its identification, special controls, and related product codes. You can also search by product code or regulation number at the top of the tree. Always read the special controls if any exist for your device — it broadens your search and sharpens pre-kickoff research.
What can you do from the regulations tree view?
Browse product codes and regulation numbers, read the identification text and special controls, browse sibling product codes, open device PDFs on the right, and search by product code or regulation number at the top of the tree.
8. Chart view
Click Show Chart and segment by regulation number (or product code) to see which regulations dominate your result set. Clicking a regulation takes you into the regulations tree. Great for spotting that most matches are, say, hardware laparoscopic devices — a cue to go back and filter.
How do you see which regulations dominate a search result set?
Click "Show Chart" and segment by Regulation Number. Clicking a regulation takes you to the regulations tree.
9. The predicate graph
Open the Predicates tab for a family-tree view of predicate relationships. Click a node to trace its parents and children; selections from search carry over pre-selected. Commonly predicated devices are worth reading — a lot of people predicated them for a reason. The visual lineage is also handy on client calls, e.g. to show how a predicate family evolved and justify why your predicate still holds.
In the predicate graph, why are commonly predicated devices worth reading?
A lot of people predicated them for a reason. Clicking a node traces parents and children, and selections from search carry over pre-selected.
10. Embeddings: the galaxy map
The Embeddings tab plots every matching document in a 2-D "galaxy map" where semantically similar devices cluster together. Hover or click clusters to explore, and let AI label the clusters for you. Embeddings beat product codes for grouping: two devices can carry different product codes (LLZ vs. QIH) yet do the same thing — the embedding captures the meaning of the intended use and device story. This is also exactly how retrieval-augmented generation (RAG) works under the hood, and it makes a great visual on client calls.
Try it yourself
Head to the search page and work through a few of these AI/ML fuzzy searches to build intuition: perivascular fat on CT · aortic valve calcification opportunistic screening on noncontrast CT · breast cancer prediction on digital pathology slides · autism detection · gestational age prediction · a hearing aid that can also detect a pulse · foundation model based analysis of ECG · large language models · penetration test. Watch how the relevance scores, intended use, and AI Performance tables tell you when results stop being meaningful.