K180637 · Renovia, Inc. · HIR · Apr 4, 2018 · Obstetrics/Gynecology
Device Facts
Record ID
K180637
Device Name
leva Pelvic Floor Trainer
Applicant
Renovia, Inc.
Product Code
HIR · Obstetrics/Gynecology
Decision Date
Apr 4, 2018
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 884.1425
Device Class
Class 2
Attributes
Therapeutic
Indications for Use
The leva Pelvic Digital Health System is intended for: 1) Strengthening of the pelvic floor muscles; 2) Rehabilitation and training of weak pelvic floor muscles for the treatment of stress, mixed and mild to moderate urgency urinary incontinence in women. This device interacts with the user via smart phone technology.
Device Story
The leva Pelvic Digital Health System is a reusable, single-patient vaginal device used for pelvic floor muscle training. It consists of a silicone-covered training probe and a battery-powered electronics box. The device uses internal accelerometers to detect the relative intensity of pelvic floor muscle contractions based on device bending. It connects to a smartphone app, which provides real-time graphical and numeric visualization of the user's Kegel exercises. The system is intended for home use by the patient to facilitate muscle strengthening and treat urinary incontinence. By providing visual feedback on contraction intensity, the device assists the user in performing correct exercises, potentially improving muscle strength and reducing incontinence symptoms.
Clinical Evidence
No clinical data. Substantial equivalence supported by hardware verification, biocompatibility (ISO 10993-1, -5, -10), electrical safety (IEC 60601-1, -1-2, -1-11), packaging testing (ISTA 2A-2011), and usability testing with lay volunteers.
Technological Characteristics
Vaginal probe with biocompatible silicone covering; accelerometer-based sensing of relative device bending; battery-powered electronics; smartphone connectivity; non-sterile; reusable; single-patient use. Conforms to IEC 60601-1, IEC 60601-1-2, and IEC 60601-1-11.
Indications for Use
Indicated for women with weak pelvic floor muscles requiring strengthening, rehabilitation, and training for the treatment of stress, mixed, and mild to moderate urgency urinary incontinence.
Regulatory Classification
Identification
A perineometer is a device consisting of a fluid-filled sack for intravaginal use that is attached to an external manometer. The devices measure the strength of the perineal muscles by offering resistence to a patient's voluntary contractions of these muscles and is used to diagnose and to correct, through exercise, uninary incontinence or sexual dysfunction.
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April 4, 2018
Renovia Inc. Gina Prochillo-Cawston Director, Business Integrity, Compliance and Quality 263 Summer St., 5th Floor Boston, Massachusetts 02210
Re: K180637 Trade/Device Name: leva Pelvic Digital Health System Regulation Number: 21 CFR 884.1425 Regulation Name: Perineometer Regulatory Class: Class II Product Code: HIR Dated: March 9, 2018 Received: March 12, 2018
Dear Gina Prochillo-Cawston:
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. 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 adverse events) (21 CFR 803); good manufacturing practice requirements as set forth in the quality systems (QS) regulation (21 CFR Part 820);
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and if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR 1000-1050.
Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR 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/MedicalDevices/Safety/ReportaProblem/default.htm for the CDRH's Office of Surveillance and Biometrics/Division of Postmarket Surveillance.
For comprehensive regulatory information about mediation-emitting products, including information about labeling regulations, please see Device Advice (https://www.fda.gov/MedicalDevices/DeviceRegulationandGuidance/) and CDRH Learn (http://www.fda.gov/Training/CDRHLearn). Additionally, you may contact the Division of Industry and Consumer Education (DICE) to ask a question about a specific regulatory topic. See the DICE website (http://www.fda.gov/DICE) for more information or contact DICE by email (DICE@fda.hhs.gov) or phone (1-800-638-2041 or 301-796-7100).
Sincerely,
Joyce M. Whang -S
for
Benjamin R. Fisher, Ph.D. Director Division of Reproductive, Gastro-Renal, and Urological Devices Office of Device Evaluation Center for Devices and Radiological Health
Enclosure
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# Indications for Use
510(k) Number (if known) K180637
Device Name leva Pelvic Digital Health System
Indications for Use (Describe) The leva Pelvic Digital Health System is intended for:
1) Strengthening of the pelvic floor muscles;
2) Rehabilitation and training of weak pelvic floor muscles for the treatment of stress. mixed and mild to moderate urgency urinary incontinence in women.
This device interacts with the user via smart phone technology.
X Prescription Use (Part 21 CFR 801 Subpart D)
Over-The-Counter Use (21 CFR 801 Subpart C)
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# 510(k) Summary K180637
Submitter's name and address:
Contact person:
Renovia Inc. 263 Summer St. Boston, MA 02210
Gina Prochillo-Cawston Director of Business Integrity, Compliance & Quality Renovia Inc. 263 Summer St. Boston, MA 02210 Phone: +1-866-735-8424 ext. 1024 e-mail: qcawston@renoviainc.com
Date summary was prepared:
#### Device Information
Trade/Proprietary Name: Common/Usual Name: Classification Name: Requlation Number: Device Classification: Product Code: Review Panel:
March 26, 2018
leva Pelvic Digital Health System Pelvic Floor Muscle Exerciser Perineometer 21 CFR 884.1425 Class II HIR (perineometer) Obstetrics/Gynecology
#### Predicate Device Identification
510(k) Number: Device Name: Manufacturer:
K133990 leva Rehabilitative Positional Device Remendium Labs, LLC (Renovia Inc, is the current holder of the 510(k))
The predicate device has not been subject to a design-related recall.
#### Device Description
The leva Pelvic Digital Health System (leva PDHS) is specifically designed to facilitate pelvic floor exercise training to strengthen pelvic floor muscles and for the treatment of stress, mixed and mild to moderate urgency urinary incontinence in women. The leva PDHS is intended to be used repeatedly by a single patient. The device is designed to be used vaginally.
The hardware consists of the training device itself and an associated battery powered electronics box. The training device has a biocompatible, colored silicone covering
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which isolates the motion electronics from the environment. The leva PDHS uses an app to connect via smart phone. This enables the user to visualize the Kegel exercise she is being trained on.
#### Indications for Use
The leva Pelvic Digital Health System is intended for:
- 1) Strengthening of the pelvic floor muscles;
- 2) Rehabilitation and training of weak pelvic floor muscles for the treatment of stress, mixed and mild to moderate urgency urinary incontinence in women.
This device interacts with the user via smart phone technology.
### Predicate Comparison
The following table compares the leva Pelvic Digital Health System to the predicate device with respect to the indications for use and technological characteristics:
| Device | Subject Device | Predicate Device |
|---------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| | leva Pelvic Digital Health System | leva Rehabilitative Positional Device |
| 510(k)Number | K180637 | K133990 |
| Manufacturer | Renovia Inc | Remendium Labs, LLC |
| Common/Usual Name | Perineometer | Perineometer |
| Regulation Number | 884.1425 | 884.1425 |
| Device Class | Class II | Class II |
| Product Code | HIR | HIR |
| Intended Use | The leva Pelvic Digital Health System is<br>intended for:<br>1) Strengthening of the pelvic floor<br>muscles;<br>2) Rehabilitation and training of weak<br>pelvic floor muscles for the<br>treatment of stress, mixed and mild<br>to moderate urgency urinary<br>incontinence in women.<br>This device interacts with the user via smart<br>phone technology. | The leva Pelvic Floor Trainer is intended for<br>the purpose of rehabilitation and training of<br>weak pelvic floor muscles for the treatment<br>of stress, mixed and mild-moderate urge<br>incontinence in women. This device interacts<br>with the user via smart phone technology. |
| Principle of<br>Operation | Provides indication of relative intensity of<br>pelvic floor muscle contraction using<br>accelerometers | Provides indication of relative intensity of<br>pelvic floor muscle contraction using<br>accelerometers |
| Muscle Stimulation | No | No |
| Parameter | Relative position of device | Relative position of device |
| Anatomical Site | Vagina | Vagina |
| Single Patient Device | Yes | Yes |
| Reusable | Yes | Yes |
| Sterile | Non-sterile | Non-sterile |
| Information Display | Graphical and numeric based on<br>applied bending, anatomical overlay | Graphical and numeric based on applied<br>bending, anatomical overlay |
| Probe Material | Silicone | Silicone |
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The leva Pelvic Digital Health System has the same intended use and technological characteristics compared to the predicate device. The are no different questions of safety and effectiveness.
# Summary of Non-Clinical Testing
Non-clinical testing provided in the predicate submission (K133990) was leveraged in the current submission as the device technology has not changed since the prior clearance and the only change in this submission was a modification to the indication for use that did not require additional supporting performance data. A summary of the performance testing used to support the current submission is provided below:
- A. Hardware Verification Testing: The device was subjected to testing to ensure that the device design conforms to the requirements of the Marketing Specification. Product Specification and System Hazards Analysis. Specific device testing included: measurement and inspection of engineering drawings and specifications, testing of the ability of the cable and vaginal device to withstand pulling for over 1,460 cycles (expected lifetime of the device), cleaning of the device over 1,460 times (expected lifetime of the device), and +/-20° bending of the device for over 1.460 cycles (expected lifetime of the device).
- B. Biocompatibility: Patient contacting material was subjected to biocompatibility testing in compliance with ISO 10993-1 Biological evaluation of medical devices - Part 1: Evaluation and testing within a risk management process, including cytotoxicity (ISO 10993-5), sensitization (ISO 10993-10) and irritation (ISO 10993-10).
- C. Software: Software validation was performed and completed with no outstanding anomalies. Software documentation was provided in accordance with FDA quidance document "Guidance for the Content of Premarket Submissions for Software Contained in Medical Devices" issued May 11, 2005 for a minor software level of concern.
- D. Electrical Safety and Electromagnetic Compatibility: The subject device was tested and found to conform to the requirements of the following:
- i. IEC 60601-1:2005 (3rd Edition), Medical Electrical Equipment - Part 1: General Requirements for Basic Safety and Essential Performance
- ii. IEC 60601-1-2:2007, Medical electrical equipment - Part 1-2: General requirements for basic safety and essential performance - Collateral standard: Electromagnetic compatibility - Requirements and tests
- iii. IEC 60601-1-11 General requirements for basic safety and essential performance - Collateral Standard: Requirements for medical electrical
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equipment and medical electrical systems used in the home healthcare environment
- E. Packaging Testing: Device packaging was subjected to ISTA 2A-2011 "Partial Simulation Performance Test Procedure for Packaged Products 150 lb (68 kg) or Less" testing, which included: Atmospheric Preconditioning, Atmospheric Conditioning, Compression, Initial Random Vibration, Impacts, Final Random Vibration. The packaging was found to adequately protect the device during shipping and storage.
- F. Usability Testing: Usability testing was performed using lay volunteers and comprised: reading the Instructions for Use and Quick Start Guide, setting up the system, using the system correctly, performing a mock Kegel, interpreting the user interface, cleaning, storage, and disposal. All participants successfully completed all tests.
### Summary of Clinical Testing
Not Applicable
#### Conclusion
Based on the comparison and analysis above, the leva Pelvic Digital Health System is substantially equivalent to the predicate device.
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.