K991087 · Ilife Systems, Inc. · FLS · Jan 12, 2000 · Anesthesiology
Device Facts
Record ID
K991087
Device Name
HANNAH WIRELESS VITAL SIGNS MONITOR
Applicant
Ilife Systems, Inc.
Product Code
FLS · Anesthesiology
Decision Date
Jan 12, 2000
Decision
ST
Submission Type
Traditional
Regulation
21 CFR 868.2377
Device Class
Class 2
Attributes
Pediatric
Indications for Use
The HANNAH Wireless Vital Signs Monitor is indicated for the continuous monitoring of an infant's heart rate, respiration rate, and occurrences of central apnea in home, hospital and other environments.
Device Story
Infant apnea monitor; provides continuous monitoring of heart rate and respiration. Inputs: 3-lead ECG for heart rate; pressure sensor for respiration. Wireless transmission of data from infant-worn sensors to central unit; eliminates lead wires to reduce strangulation/electrocution risk and motion-related false alarms. Used in home and hospital environments; operated by caregivers/clinicians. Output: real-time vital signs and apnea alerts. Enables clinical decision-making regarding infant respiratory status; benefits patient by reducing false alarms and physical hazards associated with traditional wired monitors.
Clinical Evidence
Clinical study conducted by an independent contract research organization to evaluate performance relative to a legally marketed predicate device. No specific sensitivity, specificity, or p-values provided in the summary.
Technological Characteristics
Wireless infant monitor. Sensing: 3-lead ECG for heart rate; pressure sensor for respiration. Connectivity: Radio frequency transmission from infant-worn sensors to central unit. Standards: Conforms to IEC 601-1, AAMI EC-13, and FDA proposed 'Performance Standard for the Infant Apnea Monitor'.
Indications for Use
Indicated for continuous monitoring of heart rate, respiration rate, and central apnea in infants in home or hospital settings.
Regulatory Classification
Identification
An apnea monitor is a complete system intended to alarm primarily upon the cessation of breathing timed from the last detected breath. The apnea monitor also includes indirect methods of apnea detection such as monitoring of heart rate and other physiological parameters linked to the presence or absence of adequate respiration.
Special Controls
*Classification.* Class II (special controls). The special control for this device is the FDA guidance document entitled “Class II Special Controls Guidance Document: Apnea Monitors; Guidance for Industry and FDA.”
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# K991087
JAN | 2 2000
# 510(k) SUMMARY HANNAH Wireless Vital Signs Monitor March 29, 1999
This summary is provided in accordance with the Safe Medical Devices Act of 1990 (SMDA). The information provided in the 510(k), premarket notification was in accordance with 21 CFR 807.87.
# 1. Applicant/Submitter
iLife Systems, Inc. 5910 N. Central Expressway, Suite 1775 Dallas, TX 75206
Contact person: Joshua A. Adler, Vice President, Business Development 214-365-7400 Telephone: Facsimile: 214-365-7401 E-mail: jadler@ilifesystems.com
# Consultant
Joel S. Faden, Ph.D., Inc. 11605 Hitching Post Lane Rockville, MD 20852
# 2. Name of Device
Trade Name: HANNAH Wireless Vital Signs Monitor Common/Usual Name: Infant Apnea Monitor Classification Name: 21 CFR 868.2375 "Breathing Frequency Monitor"
# 3. Legally Market Predicate Devices
The HANNAH system is an infant apnea monitor, which is substantially equivalent' to legally marketed devices, including the following:
- EdenTec 2000W (applicant: EdenTec; K844327, K871302, K884614, K901060) .
- Monitron (applicant: American Health Products, Inc .; K874148) .
- . Model AMI Infant Central Apnea/Heart Rate Monitor (applicant: Aequitron Medical, Inc .; K961972)
- . Respiration Monitor Type MR-10 (applicant: New Dimensions In Medicine, Inc .; K822077)
<sup>&#</sup>x27; Any statement made in conjunction with this submission regarding a determination of substantial equivalence to any other product is intended only to refer to whether the product can be lawfully marketed without pre-market approval or reclassification and is not intended to be interpreted as an admission or any other type of evidence in patent infringement litigation. (Establishment Registration and Premarket Notification Procedures, Final Regulation, Preamble, August 23, 1977, FR 42520 (Docket No. 76N-0355))
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K99/087
### 4. Indications for Use
The HANNAH Wireless Vital Signs Monitor is indicated for the continuous monitoring of an infant's heart rate, respiration rate, and occurrences of central apnea in home, hospital and other environments.
#### 5. Device Description and Substantial Equivalence
The HANNAH system is an infant apnea monitor, which is substantially equivalent to legally marketed devices. The HANNAH system includes features incorporated in legally marketed devices. Like most legally marketed infant apnea monitors, the HANNAH incorporates sensors and alarms for monitoring both breath and heart rate. Like most legally marketed infant apnea monitors, the HANNAH system monitors heart rate using a 3-lead ECG measurement.
The HANNAH system has the same technological characteristics as legally marketed devices. Because lead wires connected to the infant present a documented risk for strangulation and electrocution, and because lead wires are the source of a substantial majority of the false alarms associated with wired monitors, the decision was made to use radio frequencies to transmit the monitoring information from infant-placed sensors to the central unit. Further, since the more common method of monitoring, impedance pneumography, is highly susceptible to false readings due to interference with cardiac signals and motion artifacts, respiration is monitored using a pressure sensor instead.
The manufacture, design and clinical and laboratory testing of the HANNAH system, and the information provided in the 510(k) conformed, where applicable, to FDA guidelines, as well as proposed and recognized standards. In particular, the HANNAH system conforms, where applicable, to FDA's "Performance Standard for the Infant Apnea Monitor" (proposed), FR Tuesday, February 21, 1995, 9762 (vol. 60, no. 34). Further, the device was tested, where applicable, in accordance with IEC 601-1, AAMI EC-13, and other recognized standards. Lastly, a clinical study of the device was conducted by an independent contract research organization in order to evaluate the HANNAH monitor's clinical performance relative to a legally marketed predicate device. The information provided in the 510(k) demonstrates the substantial equivalence of the HANNAH system to legally marketed predicate devices.
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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 is a circular seal with the words "DEPARTMENT OF HEALTH & HUMAN SERVICES - USA" around the perimeter. Inside the circle is a stylized image of a caduceus, which is a symbol of medicine and health. The caduceus has three lines representing the snakes entwined around a staff.
Food and Drug Administration 9200 Corporate Boulevard Rockville MD 20850
JAN 1 2 2000
Mr. Joshua A. Adler iLife Systems, Inc. 5910 North Central Expressway Suite 1775 Dallas, TX 75206
K991087 Re : Hannah Wireless Vital Signs Monitor Regulatory Class: II (two) Product Code: 73 FLS and BZQ Dated: November 2, 1999 November 3, 1999 Received:
Dear Mr. Adler:
We have reviewed your Section 510(k) notification of intent to market the device referenced above and we 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). 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 (Premarket Approval), it may be subject to such additional controls. Existing major regulations affecting your device can be found in the Code of Federal Regulations, Title 21, Parts 800 to 895. A substantially equivalent determination assumes compliance with the Current Good Manufacturing Practice requirements, as set forth in the Quality System Regulation (QS) for Medical Devices: General regulation (21 CFR Part 820) and that, through periodic QS inspections, the Food and Drug Administration (FDA) will verify such assumptions. Failure to comply with the GMP regulation may result in regulatory action. In addition, FDA may publish further announcements concerning your device in the Federal Register. Please note: this response to your premarket notification submission does not affect any obligation you might have under sections 531 through 542 of the Act for devices under the Electronic Product Radiation Control provisions, or other Federal laws or regulations.
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#### Page 2 - Mr. Joshua A. Adler
This letter will allow you to begin marketing your device as described in your 510(k) premarket notification. The FDA finding of substantial equivalence of your device to a legally marketed predicate device results in a classification for your device and thus, permits your device to proceed to the market.
If you desire specific advice for your device on our labeling regulation (21 CFR Part 801 and additionally 809.10 for in vitro diagnostic devices), please contact the Office of Compliance at (301) 594-4648. Additionally, for questions on the promotion and advertising of your device, please contact the Office of Compliance at (301) 594-4639. Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR 807.97). Other general information on your responsibilities under the Act may be obtained from the Division of Small Manufacturers Assistance at its toll-free number (800) 638-2041 or (301) 443-6597, or at its internet address "http://www.fda.gov/cdrh/dsma/dsmamain.html".
Sincerely yours,
Nancy C. Brogdon for
Celia M. Acting Director Division of Cardiovascular, Respiratory, and Neurological Devices Office of Device Evaluation Center for Devices and Radiological Health
Enclosure
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Premarket Notification Caring Technologies, Inc. HANNAH Wireless Vital Signs Monitor
991087
# Indications For Use
Device Name: HANNAH Wireless Vital Signs Monitor
Indications For Use: The HANNAH Wireless Vital Signs Monitor is indicated for the continuous monitoring of an infant's heart rate, respiration rate, and occurrences of central apnea in home, hospital and other environments.
#### (PLEASE DO NOT WRITE BELOW THIS LINE-CONTINUE ON ANOTHER PAGE)
Concurrence of CDRH, Office of Device Evaluation (ODE)
Prescription Use: (Per 21 CFR 801.109) OR
Over-The-Counter:
(Optional Format 1-2-96)
Nancy C. Brogdon
(Division Sign-Off) Division of Cardiovascular, Respiratory, and Neurological Devi
510(k) Number K 99/087
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.