K090479 · Tanita Corporation of America · MNW · Jul 7, 2009 · Cardiovascular
Device Facts
Record ID
K090479
Device Name
TANITA BODY COMPOSITION ANALYZER, MODEL SC-331
Applicant
Tanita Corporation of America
Product Code
MNW · Cardiovascular
Decision Date
Jul 7, 2009
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 870.2770
Device Class
Class 2
Attributes
Pediatric
Indications for Use
The TANITA Body Composition Analyzer is indicated for use in the measurement of weight and impedance, and the estimation of body mass index (BMI), total body fat percent, total body water percent and weight, muscle mass (skeletal and smooth), physique rating, bone mass, visceral fat rating with healthy range, basal metabolic rate (BMR), daily caloric intake (DCI), metabolic age, and target body fat percent with predicted weight and fat mass, using BIA (Bioelectrical Impedance Analysis). The device is indicated for use for healthy children 5-17 years old and healthy adults with active, moderately active, to inactive lifestyles.
Device Story
The Tanita SC-331 is a body composition analyzer utilizing bioelectrical impedance analysis (BIA). The device uses a 4-electrode 'foot-to-foot' measurement system at a 50kHz frequency to measure weight and electrical impedance. Inputs include user age (5-99), height, activity level, and body type (standard/athlete). The device processes these inputs to estimate body composition parameters, including BMI, body fat percentage, total body water, muscle mass, bone mass, visceral fat rating, BMR, DCI, and metabolic age. It is intended for use by healthy individuals in clinical or consumer settings. Output is provided via a display and an integrated printer, with data transfer capabilities via RS-232C and USB. Healthcare providers or users utilize these outputs to monitor body composition trends and assess metabolic health, aiding in weight management and fitness tracking.
Clinical Evidence
No clinical data provided. Substantial equivalence is based on technological characteristics and performance comparisons to predicate devices using established BIA methodology.
Technological Characteristics
4-electrode bioelectrical impedance analysis (BIA) system; 50kHz measurement frequency; AC adapter/DC7V power; RS-232C and USB connectivity; integrated printer; weight capacity up to 600 lb/270 kg or 450 kg/1,000 lb; weight increments 0.1 lb/50g or 0.2 lb/100g.
Indications for Use
Indicated for healthy children 5-17 years old and healthy adults with active, moderately active, or inactive lifestyles for measurement of weight/impedance and estimation of body composition metrics including BMI, body fat, body water, muscle mass, bone mass, visceral fat, BMR, DCI, and metabolic age.
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 and Consumer Models (K014009)
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### 510(k) SUMMARY
submitted in accordance with the requirements of SMDA 1990 and 21 CFR Section 807.92
Trade Name Common Name: Classification Name:
JUL - 7 2009
Description of Applicant Device:
The TANTA Body Corposition Analyzer SC-331 is a composition analyzer that tillizes BA (biolectical inqedance analysis) to deternine body mass inter (BM), tata body tat percent, todal body water per cont and veine and smooth, plysique rating, bone mass, visceral lat rathy rang, boss) meabolic race (BMF), day caloric intake (DCI), metabolic age, and target body fat percent with predicted weight and fat mass for use by adults and children.
Indications For Use:
The TANTA Body Composition is indicated tor use in the measure, and the estmain of tody mass index (BM), total boty valent, todal body vater percent and weight, must (skeletal and smooth), the mass, visceral lat raing with healty rare (BMP), daily cale (BMP), daire intake (DC), metablic intake (CC), metablic age, and target body fat percent with predicted weight and fat mass, using BlA (Binelectrical Impedance Analysis).
The device is indicated for use for healthy children 5-17 years old and healthy active, moderately active, to inaclive lifestyles.
Predicate Devices:
BMI - Indicator
TANTA Body Fat Analyzer Professional and Consumer Models K014009 and K040778.
TANITA Bady Composition Analyzer: Model SC-331
ANALYZER, BODY COMPOSITION 21 CFR \$807.92
Body Composition Analyzer
Scientific Concepts and Significant Performance Characteristics:
| *Same as shown in SECTION 9. and APPENDIX 1. (Substantial Equivalence Matrix) | | | | | | |
|-------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------|----------------|--------------------------------------------------------------------------------------------------------|---------|--------------------------------------------------------------------------------------------------------|---------------|
| | Body Composition Analyzer<br>SC-331 Specification | | Body Composition Analyzer | | Body Composition Monitor | |
| | | | TBF-215/300/310/410, BF-35D | | BC-53X | |
| 510(k) number | | New<br>K014009 | | K040778 | | |
| Product Description | Body composition analyzer that utilizes a BIA<br>technology to determine internal body<br>composition. | | Body composition analyzer that utilizes a BIA<br>technology to determine internal body<br>composition. | | Body composition analyzer that utilizes a BIA<br>technology to determine internal body<br>composition. | |
| Analytical Method / Measurement | Patented "Foot-to-Foot" BIA, In house BIA and<br>DEXA reference | | Patented "Foot-to-Foot" BIA, In house BIA and<br>DEXA reference | | Patented "Foot-to-Foot" BIA, In house BIA and<br>DEXA reference | |
| Measurement Frequency | 50kHz | | 50kHz | | 50kHz | |
| Number of Electrodes | 4 | | 4 | | 4 | |
| Specifications | | | | | | |
| Weight Capacity | 600 lb / 270 kg or 450 kg / 1,000 lb | | 270 kg / 600 lb | | 150 kg / 330 lb | |
| Weight Increments | 0.2 lb / 100 g or 0.1 lb / 50 g | | 100 g / 0.2 lb | | 100 g / 0.2 lb | |
| Body Fat % Increments | 0.1% | | 0.1% | | 0.1% | |
| User Memory | 4 | | 4 | | 4 | |
| Input Age | 5 - 99<br>5-17: Child<br>18-99: Adult | | 7 - 99<br>7-17: Child<br>18-99: Adult | | 7 - 99<br>7-17: Child<br>18-99: Adult | |
| Input Height | 3' - 7' 11.5" / 90 - 249.9cm | | 3' - 7' 11.5" / 90 - 249.9cm | | 3' 4.0" - 7' 3.0" / 100-220cm | |
| Input Activity Level | | | | | 1 - 3 | |
| Input Body Type | Standard / Athlete | | Standard / Athlete | | Standard / Athlete | |
| Recall Function | | | | | | ✓ |
| Power Supply | AC Adapter / DC7V | | AC Adapter / DC5V | | AA Batteries | |
| Printer Function | ✓ | | ✓ | | | |
| Computer Interface | RS-232C & USB | | RS-232C | | | |
| Indicate for Use | | | | | | |
| | Print-Out | Display | Print-Out | Display | Print-Out | Display |
| Actual: | | | | | | |
| Weight | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| Impedance | ✓ | - | ✓ | - | - | - |
| Estimated: | | | | | | |
| FAT % | ✓ | ✓ | ✓ | ✓ | - | ✓ |
| FAT Mass | ✓ | - | ✓ | - | - | - |
| FAT % - Indicator | ✓ | - | In the manual | - | - | - |
| Predicated Fat Mass | ✓ | - | ✓ | - | - | - |
| Predicated Weight | ✓ | - | ✓ | - | - | - |
| FFM | ✓ | - | ✓ | - | - | ✓ |
| Muscle Mass | ✓ | - | ✓ | - | - | ✓ |
| Muscle Mass - Indicator | ✓ | - | ✓ | - | - | In the manual |
| Physique Rating | ✓ | - | ✓ | - | - | ✓ |
| Total Body Water | ✓ | - | ✓ | - | - | ✓ |
| Total Body Water % | ✓ | - | ✓ | - | - | ✓ |
| BMR / DCI | ✓ | - | ✓ | - | - | ✓ |
| BMR - Indicator | ✓ | - | - | - | - | In the manual |
| Metabolic Age | ✓ | - | ✓ | - | - | ✓ |
| Visceral Fat Rating | ✓ | - | ✓ | - | - | ✓ |
| Visceral Fat Level - Indicator | ✓ | - | - | - | - | ✓ |
| Bone Mass | ✓ | - | ✓ | - | - | ✓ |
| BMI | ✓ | - | ✓ | - | - | - |
in the manual
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K090479
PAGE 2 OF 2
#### 510(k) SUMMARY
submitted in accordance with the requirements of SMDA 1990 and 21 CFR Section 807.92
Suble by side compaison of the TANTA Body Compssition Analyzer SC-331 to the predical clements that the applicant trence are substantaly equivaler to those early marked devices.
eleased on the results of ission in the least of the II ANTA's whole body BA, the TANTA Body Composition Analyzer SC-331 performs equivaltity of the prelicate devicas and therefore is subtantially equivalent.
Toshihiko Ishikawa
TANITA Corporation of America Product Manager
Tel: (847) 640-9241 Fax (847) 640-9261
Սսո 30th, 2009
্
. * .
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Image /page/2/Picture/0 description: The image shows the seal of the U.S. Department of Health and Human Services. The seal features a stylized eagle with three wavy lines representing the department's commitment to health, services, and human well-being. The text "DEPARTMENT OF HEALTH & HUMAN SERVICES - USA" is arranged in a circular pattern around the eagle.
### DEPARTMENT OF HEALTH & HUMAN SERVICES
Public Health Service
Food and Drug Administration 9200 Corporate Boulevard Rockville MD 20850
## JUL = 7 2009
Mr. Toshihiko Ishikawa Product Manager Tanita Corporation of America, Inc. 2625 South Clearbrook Drive ARLINGTON HEIGHTS IL 60005
Re: K090479
Trade/Device Name: TANITA Body Composition Analyzer Model SC-331 Regulation Number: 21 CFR §870.2770 Regulation Name: Impedance plethysmograph Regulatory Class: II Product Codes: MNW Dated: June 30, 2009 Received: July 1, 2009
Dear Mr. Ishikawa:
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.
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.
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 of medical
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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/cdrl/mdr/ 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 (240) 276-3150 or at its Internet address http://www.fda.gov/cdrh/industry/support/index.html.
Sincerely yours,
Janine M. Morris Acting Director, Division of Reproductive, Abdominal, and Radiological Devices Office of Device Evaluation Center for Devices and Radiological Health
Enclosure
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# Indications for Use
510(k) Number (if known): K 090479
Device Name:
TANITA Body Composition Analyzer Model SC-331
Indications For Use:
The TANITA Body Composition Analyzer is indicated for use in the measurement of weight and impedance, and the estimation of body mass index (BMI), total body fat percent, total body water percent and weight, muscle mass (skeletal and smooth), physique rating, bone mass, visceral fat rating with healthy range, basal metabolic rate (BMR), daily caloric intake (DCI), metabolic age, and target body fat percent with predicted weight and fat mass, using BIA (Bioelectrical Impedance Analysis).
The device is indicated for use for healthy children 5-17 years old and healthy adults with active, moderately active, to inactive lifestyles.
Prescription Use (Part 21 CFR 801 Subpart D) AND/OR
Over-The-Counter Use _________________________________________________________________________________________________________________________________________________________ × (21 CFR 801 Subpart C)
(PLEASE DO NOT WRITE BELOW THIS LINE-CONTINUE ON ANOTHER PAGE IF NEEDED)
Concurrence of CDRH, Office of Device Evaluation (ODE)
(vers 6/25/05)
Hebert Lerner
Division of Reproductive, Abdominal, and Radiological Devices 510(k) Number
Page 1 of 1
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.