K141877 · Leaf Healthcare, Inc. · KMI · Nov 10, 2014 · General Hospital
Device Facts
Record ID
K141877
Device Name
LEAF PATIENT MONITORING SYSTEM
Applicant
Leaf Healthcare, Inc.
Product Code
KMI · General Hospital
Decision Date
Nov 10, 2014
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 880.2400
Device Class
Class 1
Indications for Use
The Leaf Patient Monitoring System monitors the orientation and activity of patients susceptible to pressure ulcers. It allows healthcare providers to implement individualized turn management plans and continuously monitor each patient. The Leaf Patient Monitoring System provides alerts when patient or activity deviates from parameters set by healthcare providers. The device is intended for use in medical, nursing and long-term care facilities, including independent living, assisted-living and rehabilitation facilities.
Device Story
System monitors patient orientation/activity to aid pressure ulcer prevention. Components: disposable skin-adhered patient sensors, RF antennas, USB RF transceivers, turn management software, and user interface. Sensors transmit orientation/movement data wirelessly via antennas to monitoring station. Software records data; caregivers set individualized thresholds via UI. System alerts caregivers when patient orientation/activity deviates from set parameters, identifying need for assisted turns. Used in hospitals/nursing facilities to increase compliance with turning schedules. Benefits: continuous monitoring, improved adherence to care protocols, potential reduction in pressure ulcer incidence.
Clinical Evidence
Bench testing only. Testing included system performance, software verification, and electrical safety/EMC. Results demonstrate materials, manufacturing, and design meet specifications and perform as intended.
Technological Characteristics
Disposable skin-adhered patient sensor; wireless RF communication via antennas to USB transceiver; software-based monitoring station. Non-adhesive frame added to sensor for removal. System is networked within care facility. No specific material standards or algorithm architecture details provided.
Indications for Use
Indicated for patients susceptible to pressure ulcers in medical, nursing, and long-term care facilities (including independent living, assisted-living, and rehabilitation) to monitor orientation and activity for turn management.
Regulatory Classification
Identification
A bed-patient monitor is a battery-powered device placed under a mattress and used to indicate by an alarm or other signal when a patient attempts to leave the bed.
{0}------------------------------------------------
Image /page/0/Picture/1 description: The image shows the logo for the U.S. Department of Health and Human Services. The logo consists of a circular seal with the words "DEPARTMENT OF HEALTH & HUMAN SERVICES • USA" arranged around the perimeter. Inside the circle is an abstract symbol that resembles an eagle or a bird in flight, formed by three stylized human profiles facing to the right. The profiles are stacked on top of each other, creating a sense of depth and movement.
Food and Drug Administration 10903 New Hampshire Avenue Document Control Center - WO66-G609 Silver Spring, MD 20993-0002
November 10,2014
Leaf Healthcare Incorporated C/O Mr. Ronald S. Warren Experien Group, Limited Liability Company Senior Director - Regulatory Affairs 755 N Mathilda Avenue, Suite 100 Sunnyvale, CA 94085
Re: K141877
Trade/Device Name: Leaf Patient Monitoring System Regulation Number: 21 CFR 880.2400 Regulation Name: Bed-Patient Monitor Regulatory Class: I Product Code: KMI Dated: October 13, 2014 Received: October 14, 2014
Dear Mr. Warren:
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.
{1}------------------------------------------------
Page 2 - Mr. Warren
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 (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); 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 contact the Division of Small Manufacturers, International and Consumer Assistance at its tollfree number (800) 638-2041 or (301) 796-7100 or at its Internet address http://www.fda.gov/MedicalDevices/Resourcesfor You/Industry/default.htm. 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/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/ResourcesforYou/Industry/default.htm.
Sincerely yours,
Susan Runner DDS, MA
Erin I. Keith, M.S. Director Division of Anesthesiology, General Hospital, Respiratory, Infection Control and Dental Devices Office of Device Evaluation Center for Devices and Radiological Health
{2}------------------------------------------------
# Indications for Use
510(k) Number (if known) K141877
Device Name Leaf Patient Monitoring System
#### Indications for Use (Describe)
The Leaf Patient Monitoring System monitors the orientation and activity of patients susceptible to pressure ulcers. It allows healthcare providers to implement individualized turn management plans and continuously monitor each patient. The Leaf Patient Monitoring System provides alerts when patient or activity deviates from parameters set by healthcare providers. The device is intended for use in medical, nursing and long-term care facilities, including independent living, assisted-living and rehabilitation facilities.
Type of Use (Select one or both, as applicable)
2 Prescription Use (Part 21 CFR 801 Subpart D)
Over-The-Counter Use (21 CFR 801 Subpart C)
#### PLEASE DO NOT WRITE BELOW THIS LINE - CONTINUE ON A SEPARATE PAGE IF NEEDED.
#### FOR FDA USE ONLY
Concurrence of Center for Devices and Radiological Health (CDRH) (Signature)
This section applies only to requirements of the Paperwork Reduction Act of 1995.
#### *DO NOT SEND YOUR COMPLETED FORM TO THE PRA STAFF EMAIL ADDRESS BELOW.*
The burden time for this collection of information is estimated to average 79 hours per response, including the time to review instructions, search existing data sources, gather and maintain the data needed and complete and review the collection of information. Send comments regarding this burden estimate or any other aspect of this information collection, including suggestions for reducing this burden, to:
> Department of Health and Human Services Food and Druq Administration Office of Chief Information Officer Paperwork Reduction Act (PRA) Staff PRAStaff(@fda.hhs.gov
"An agency may not conduct or sponsor, and a person is not required to respond to, a collection of information unless it displays a currently valid OMB number."
{3}------------------------------------------------
#### 510(k) Notification K___________
### GENERAL INFORMATION
#### Applicant:
Leaf Healthcare, Inc. 5994 West Las Positas Boulevard, Suite 217 Pleasanton, CA 94588 U.S.A. Phone: 925-621-1800 FAX: 925-621-1801
#### Contact Person:
Ronald S. Warren Regulatory Consultant for Leaf Healthcare, Inc. Experien Group, LLC 755 N. Mathilda Ave, Suite 100 Sunnyvale, CA 94085 U.S.A. Phone: 1-408-505-3926 FAX: 1-408-400-0865
Date Prepared: July 10, 2014
#### DEVICE INFORMATION
### Trade/Proprietary Name: Leaf Patient Monitoring System
### Generic/Common Name: Bed-patient monitor
# Classification:
21 CFR§880.2400, Bed-patient monitor, Class I
### Product Code:
KMI, Monitor, Bed Patient
#### PREDICATE DEVICE
- Centauri Medical, Inc. DynaSense System (K130752)
{4}------------------------------------------------
### INDICATIONS FOR USE
The Leaf Patient Monitoring System monitors the orientation and activity of patients susceptible to pressure ulcers. It allows healthcare providers to implement individualized turn management plans and continuously monitor each patient. The Leaf Patient Monitoring System provides alerts when patient orientation or activity deviates from parameters set by healthcare providers. The device is intended for use in medical, nursing and long-term care facilities, including independent living, assisted-living and rehabilitation facilities.
## PRODUCT DESCRIPTION
The Leaf Patient Monitoring System is a medical device designed for use in hospitals, nursing homes, or other patient care facilities to monitor and report body orientation and activity, as well as to provide visual alerts for orientations and activity levels that fall outside of thresholds set by healthcare providers. The use of the Leaf Patient Monitoring System provides for continuous monitoring of patient position and allows caregivers to easily identify patients that are in need of caregiver-assisted turns according to the institution's guidelines or protocols. The use of the Leaf Patient Monitoring System can increase compliance with the care facility's prescribed patient tuning schedule and thereby may aid in the prevention of pressure ulcers.
The Leaf Patient Monitoring System is comprised of Patient Sensors, Leaf Antennas, and USB RF Transceivers, Turn Management Software, and a User Interface that can be viewed on a monitoring station. Each Leaf Patient Sensor is associated with a single patient, such that the patient's orientation, movements, and other care parameters can be monitored.
## TECHNOLOGICAL CHARACTERISTICS
The Leaf Patient Sensor is a small, disposable sensor that adheres to a patient's skin, much like a standard electrocardiogram (EKG) lead. Once the Leaf Patient Sensor is applied to a particular patient, it continuously monitors the patient's orientation and movements and communicates this data wirelessly (via the Leaf Antennas) to a monitoring station that is equipped with a USB RF Transceiver and the Leaf Turn Management Software. The Leaf Turn Management Software collects and records all data for the Patient Sensors. Data for all monitored patients is ultimately displayed on the Leaf User Interface. Through the Leaf User Interface, caregivers can associate Patient Sensors with specific patients and also set individualized care parameters.
Multiple Leaf Antennas are installed throughout a monitoring environment to ensure adequate wireless coverage for a given area, such as a hospital ward or nursing unit.
Compared to the predecessor Centauri DynaSense device, the Leaf Patient Monitoring System has been updated with several minor modifications. These include updated aesthetics of the user interface, minor changes to the display features for user convenience and related software updates. The adhesive used to apply the device to the patient is unchanged, but a non-adhesive frame has been added around the adhesive to facilitate device removal from the patient's skin.
{5}------------------------------------------------
### LABELING
One contraindication from the predicate IFU pertaining to the use of the system's sensor in patients who have a pacemaker or an implantable cardioverter-defibrillator (ICD), has been removed. Leaf Healthcare determined the system's sensor may be safely used in this subpopulation of patients, when an appropriate warning statement is provided to the user. A warning statement has been added to the IFU in order to safely enable the use of the device in this subpopulation of patients.
## SUBSTANTIAL EQUIVALENCE
Aside from minor semantic differences such as the product name change, the indications for use for the Leaf Patient Monitoring System are identical to the indications for use for the predicate DynaSense System. The Leaf Patient Monitoring System and the predicate DynaSense System have the same intended use. The minor differences in the technological characteristics between the devices do not raise any new issues of safety or efficacy. Leaf Healthcare analyzed the removal of the contraindication and addition of the warning statement to enable use of the device in patients with a pacemaker/ICD, and determined that these modifications raise no new issues of safety or effectiveness. Thus, the Leaf Patient Monitoring System is substantially equivalent to the predicate device.
### TESTING IN SUPPORT OF SUBSTANTIAL EQUIVALENCE DETERMINATION
All necessary bench testing was conducted on the Leaf Patient Monitoring System to support a determination of substantial equivalence to the predicate device.
## Nonclinical Testing Summary:
The nonclinical, bench testing included:
- . System performance testing;
- Software verification; ●
- 0 Electrical Safety and EMC.
The collective results of the nonclinical testing demonstrate that the materials chosen, the manufacturing processes, and design of the Leaf Patient Monitoring System meet the established specifications necessary for consistent performance during its intended use. In addition, the collective nonclinical testing results demonstrate that the Leaf Patient Monitoring System does not raise new questions of safety or effectiveness for monitoring patient activity when compared to the predicate device.
## CONCLUSION
The Leaf Patient Monitoring System and the predicate DynaSense System have the same intended use and similar technological characteristics. The minor differences in the technological characteristics between the devices do not raise any new issues of safety or efficacy. Device safety and performance testing have demonstrated that the Leaf Patient Monitoring System performs as intended in its intended use environment, and support the device performs at least as safely and effectively as the predicate DynaSense System.
{6}------------------------------------------------
# SUMMARY
The Leaf Patient Monitoring 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.