The Huibao BE-136 Body Fat Scale measures body weight and impedance for the person standing on the four foot electrodes, and then estimates and displays the information of body weight, total body fat percentage, total body water percentage, bone mass, and daily calorie intake(DCI) using Foot-to-Foot BIA(bioelectrical impedance analysis) method. BF-136 is intended for the healthy person whose age is between 10 and 80 years old
Device Story
Huibao BF-136 is a program-controlled body composition analyzer; utilizes foot-to-foot bioelectrical impedance analysis (BIA). Device inputs: body weight and electrical impedance measured via four foot electrodes (100 µA/30KHz current). Device transforms inputs by calculating body composition metrics based on user parameters. Outputs: body weight, total body fat percentage, total body water percentage, bone mass, and daily calorie intake (DCI) displayed to user. Used in home or clinical settings; operated by the individual standing on the scale. Output provides health information to the user for personal monitoring.
Clinical Evidence
Clinical performance study compared BF-136 to predicate TANITA BC-534. Study included 35 male and female subjects aged 10-80. Primary endpoints were body fat percentage, water percentage, bone mass, and DCI. Results showed deviations between devices were within 10% (Max deviation 9.09%, Min deviation -8.70%). No adverse effects reported.
Technological Characteristics
Body composition scale; foot-to-foot BIA sensing principle. Energy source: electrical. Dimensions/form factor: scale with four foot electrodes. Connectivity: standalone. Standards: EN/IEC 60601-1 (electrical safety), EN/IEC 60601-1-2 (EMC). Software: program-controlled.
Indications for Use
Indicated for healthy individuals aged 10 to 80 years for the measurement of body weight and estimation of body composition metrics including body fat percentage, total body water percentage, bone mass, and daily calorie intake.
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 InnerScan Body Composition Monitor model BC-534 (K040778)
Submission Summary (Full Text)
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### 510(K) SUMMARY
OCT - 7 2011
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, and the relevant 510(k) submission guidance on September 23, 2011.
The assigned 510(k) number is: K111404
- 1. Submitter's Identifications: Contact Person : Mr. Kevin Deng Zhongshan Huibao Weighing Apparatus Co., Ltd. Changan Road, Guzhen Town, Zhongshan City, Guangdong, China Phone: +86-760-2366-8989 Fax: +86-760-2239-0081
Name of the Device & Classification Information: 2. Trade Name(Proprietary Name) : Huibao Body Fat Scale, model BF-136 Common Name(Usual Name) : Huibao Body Fat Scale, model BF-136. Classification Name : Impedance Plethysmograph Classification Number (Code) : 21 CFR/Part 870.2770(MNW)
- Information of the 510(k) Cleared Device (Predicate Device): లు TANITA InnerScan Body Composition Monitor model BC-534(K040778)
#### 4. Device Description:
The Huibao BF-136 Body Fat Scale is a program-controlled body composition analyzer that utilizes Foot-to-Foot BIA(bioelectrical impedance analysis) to determine body weight, total body fat percentage, total body water percentage, bone mass, and daily calorie intake(DCI) for the person whose age is between 10 and 80 years old.
The Huibao BE-136 Body Fat Scale measures body weight and impedance for the person standing on four foot electrodes which generate a 100 µA/30KHz current for the measurement of body impedance, and then estimates and displays the information of body weight, total body fra percentage, total body water percentage, bone mass, and daily calorie intake(DCI) via taking the input personnel body condition parameters into account.
- န်း Intended Use:
The Huibao BE-136 Body Fat Scale measures body weight and impedance for the person standing on the four electrodes, and then estimates and displays the information of body weight, total body fat percentage,total body water percentage, bone mass, and daily calorie intake(DCI) using Foot-to-Foot BIA(bioelectrical impedance analysis) method. BF-136 is intended for the healthy person whose age is between 10 and 80 years old
- Comparison to the 510(k) Cleared Device (Predicate Device): ్. Comparison for the scientific concepts and significant performance characteristics : As the following comparison table :
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K111404
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Scientific Concepts and significant Performance Characteristics:
| | Tanita InnerScan Body composition<br>Monitor Models BC-534, K040778 | Huibao Body Fat scale, Model:<br>BF-136 |
|-------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| INTENDED<br>USE: | A combination non-invasive device,<br>which determines weight and estimates<br>total body fat percentage, total body<br>water percentage, bone mass, and daily<br>calorie intake with the use of BIA<br>(Bioelectrical impedance analysis). | A combination non-invasive device,<br>which determines weight and<br>estimates total body fat percentage,<br>total body water percentage, bone<br>mass, and daily calorie intake with the<br>use of BIA (Bioelectrical impedance<br>analysis). |
| PRODUCT<br>DESCRIPTION: | Body composition monitor / scale that<br>utilizes a "foot-to-foot" BIA<br>(bioelectrical impedance) technology to<br>determine internal body composition. | Body composition monitor / scale that<br>utilizes a "foot-to-foot" BIA<br>(bioelectrical impedance) technology<br>to determine internal body<br>composition. |
| ANALYTICAL<br>METHOD/ | Foot-to-Foot BIA. | Foot-to-Foot BIA. |
| Impedance<br>Measurement<br>Circuit | 180 µA/50KHz impedance<br>measuring current through four foot<br>electrodes. | 100 µA/30KHz impedance<br>measuring current through four foot<br>electrodes. |
- 7. Discussion of Non-Clinical Tests Performed Determination of Substantial Equivalence: Compliance is ensure via the following voluntary standard testing reports: 1> EN/IEC 60601-1 for electrical safety compliance tested by accredited laboratory 2> EN/IEC 60601-1-2 for EMC compliance tested by accredited laboratory.
- Summary discussion of the clinical tests performed for determination of Substantial Equivalence: ర్లో Performance clinical test for the comparison of total body fat percentage, total body water percentage, bone mass, and daily calorie intake(DCI) was performed by manufacturer. For the clinical test, 35 male and female subjects whose age are between 10 and 80 years old were chosen as the investigated users to take comparison measurement. For the comparison, it is considered acceptable that the deviation between our device Huibao/BF-136 and the predicate device TANITA/BC-534(K040778) is within 10%. Consequently, the maximum and minimum deviation of comparison testing and results are as the following table:
| Comparison feature | Max. deviation | Min. deviation | Verdict |
|-------------------------|----------------|----------------|------------|
| 1. Body Fat Percentage | 9.09 % | -8.70 % | Acceptable |
| 2. Water Percentage | 8.83 % | -3.33 % | Acceptable |
| 3. Bone Mass | 9.09 % | -5.88 % | Acceptable |
| 4. Daily calorie intake | 1.18 % | -1.45 % | Acceptable |
During the execution of the clinical test, no any adverse effect or complication was encountered for every individual who was subjected to the clinical test.
#### Conclusions ்.
Based on the clinical test comparison results for the measurement performance of total body fat percentage, total body water percentage, bone mass, and daily calorie infrake(DCI) performed by manufacturer as presented in section 8, and the completed electrical safety and EMC testing report performed by accredited laboratory presented in section 7, it was concluded that the Hubao Body Fat Scale, model BF-136 as well as the predicate device, the TANTA InnerScan Body Composition Monitor model BC-534(K040778), had been proven to meet the relevant safety and efficacy requirements of the device, and therefore is considered as Substantial Equivalence.
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Image /page/2/Picture/1 description: The image shows the logo for the U.S. Department of Health & Human Services. The logo features a stylized eagle or bird-like figure with three curved lines representing its body and wings. The bird is oriented towards the upper right. Encircling the bird is the text "DEPARTMENT OF HEALTH & HUMAN SERVICES USA" in a circular arrangement.
Food and Drug Administration 10903 New Hampshire Avenue Document Mail Center - WO66-G609 Silver Spring, MD 20993-0002
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Mr. Kevin Deng Official Correspondent Zhongshan Huibao Weighing Apparatus Co., Ltd. Chang An Road GUZHEN TOWN ZHONGSHAN CITY GUANGDONG 528421 CHINA
Re: K111404
Trade/Device Name: Huibao Body Fat Scale, model BF-136 Regulation Number: 21 CFR§ 870.2770 Regulation Name: Impedance plethysmograph Regulatory Class: II Product Code: MNW Dated: September 26, 2011 Received: September 28, 2011
Dear Mr. Deng:
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 10 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.
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 device-related
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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/ucm11.5809.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 1000 the 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/Resourcesfor You/Industry/default.htm.
http://www.fda.gov/MedicalDevices/ResourcesforYou/Industry/default.htm.
Sincerely yours,
Hubert Lewin, MD
Herbert P. Lerner, M.D., Director (Acting) Division of Reproductive, Gastro-Renal and Urological Devices Office of Device Evaluation Center for Devices and Radiological Health.
## Enclosure
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Zhongshan Huibao Weighing Apparatus Co., Ltd.
# Indications For Use
510(k) Number (if known): K111404
Device Name: Huibao Body Fat Scale, model BF-136
Indications For Use:
The Huibao BE-136 Body Fat Scale measures body weight and impedance for the person standing on the four foot electrodes, and then estimates and displays the information of body weight, total body fat percentage, total body water percentage, bone mass, and daily calorie intake(DCI) using Foot-to-Foot BIA(bioelectrical impedance analysis) method. BF-136 is intended for the healthy person whose age is between 10 and 80 years old
Prescription Use (Part 21 CFR 801 Subpart D)
ه
OR
Over-The-Counter Use 4 (21 CFR 807 Subpart C)
(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 Reproductive, Gastro-Renai, and<br>Urological Devices | |
| 510(k) Number | K111404 |
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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.