The LifeShirt System continuously records respiration, ECG, and body position signals for subsequent presentation and analysis by a licensed physician who reviews the data processed by VivoLogic on a personal computer. In addition, signals from external devices such as a pulse oximeter and blood pressure monitor can be collected and displayed. The system is intended to provide analysis of breathing patterns as an aid in classifying apneas as well as displaying heart rate changes from electrocardiographic waveforms in the wake and sleeping states as well as activities of daily living.
Device Story
Ambulatory monitoring system; records respiration, ECG, body position, and optional pulse oximetry/blood pressure data. Input data stored on CompactFlash card via Handspring Visor worn by patient. Patient inputs symptoms, activities, and medications into Visor. Data transferred to VivoMetrics Data Center for processing via VivoLogic 1.0 software. Physician reviews processed data on PC to analyze breathing patterns, classify apneas, and monitor heart rate changes during sleep and daily activities. System aids diagnosis and treatment planning. Used in home or alternate care settings.
Clinical Evidence
No clinical data provided; substantial equivalence based on technological characteristics and comparison to predicate devices.
Technological Characteristics
Components: LifeShirt vest with Inductive Plethysmograph sensors, ECG sensors, data cable, Handspring Visor (data collection/storage), PC-based VivoLogic 1.0 analysis software, and VivoMetrics Data Center. Connectivity: CompactFlash memory card, PC-based data transfer. Energy: Battery-powered Handspring Visor.
Indications for Use
Indicated for use by one adult during daily activities for recording physiological data for later analysis by a physician. Used in clinical studies or general healthcare where respiratory information is a useful indicator; data provided to physicians as an aid to diagnosis and treatment.
Regulatory Classification
Identification
A programmable diagnostic computer is a device that can be programmed to compute various physiologic or blood flow parameters based on the output from one or more electrodes, transducers, or measuring devices; this device includes any associated commercially supplied programs.
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Image /page/0/Picture/0 description: The image shows the logo for VivoMetrics. The logo consists of a stylized "V" shape with a curved line above it, resembling a heartbeat monitor. Below the symbol is the text "VivoMetrics" in a serif font, with the tagline "Makers of LifeShirt TM" in a smaller font underneath.
APR 1 2 2002
<011903 p / / 2_
### 510(k) Summary
| Submitter: | VivoMetrics, Inc. |
|----------------------|-------------------------------------------------------------|
| Address: | 121 North Fir Street, Suite E<br>Ventura, CA 93001 |
| Phone number: | (805) 667-2225 |
| Fax number: | (805) 667-6646 |
| Contact person: | Keith Gilroy |
| Date prepared: | June 15, 2001 |
| Trade name: | LifeShirt System with VivoLogic Analysis Software |
| Common name: | Ambulatory Patient Monitor |
| Classification name: | Class II, Programmable Diagnostic Computer, 21 CFR 870.142- |
Substantial equivalence claimed to:
- 1. RespiTrace PT, K942852, Non-Invasive Monitoring Systems, Inc.
- 2. RespiEvents 4.2, K001369, Non-Invasive Monitoring Systems, Inc.
Description:
The LifeShirt is a noninvasive ambulatory monitoring device that continuously monitors and stores respiration and ECG onto a CompactFlash™ memory card within a portable battery powered Handspring Visor® worn on a belt or within a pocket. The patient may be located at home or in an alternate care setting. The monitored subject can enter symptoms, activities, and medications into the Handspring Visor® that becomes part of the digital data stream. An optional NONIN pulse oximeter and Critikon noninvasive blood pressure monitor can be connected into the Visor for recordings during sleep or defined activities. The purpose of this system is to collect and store cardiac, respiratory, and blood pressure data as well as body position, various types of activities annotated with symptoms and a medication diary for subsequent analysis and archival at a data center utilizing the VivoLogic 1.0 software program. Data is transferred to the data center generally after the end of a patient data recording session.
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01903 p 2/2
Intended use:
The LifeShirt System continuously records respiration, ECG, and body position signals for subsequent presentation and analysis by a licensed physician who reviews the data processed by VivoLogic on a personal computer. In addition, signals from external devices such as a pulse oximeter and blood pressure monitor can be collected and displayed. The system is intended to provide analysis of breathing patterns as an aid in classifying apneas as well as displaying heart rate changes from electrocardiographic waveforms in the wake and sleeping states as well as activities of daily living.
Summary of technological characteristics:
The LifeShirt system covered by this submission consists of four components, as described below.
1. LifeShirt data acquisition system: This includes the LifeShirt vest with Inductive Plethysmograph sensors. ECG sensors, a data cable, and the connected Handspring Visor® device with software for data collection and storage onto a Flash memory card. This technology is equivalent to that used in the currently marketed RespiTrace PT device.
2. LifeShirt Data Transfer software: This PC based software is used in transmitting the data from the user's PC to the VivoMetrics Data Center.
3. VivoMetrics Data Center: A database operated by VivoMetrics personnel which stores and provides an audit trail for data collected using the LifeShirt system.
4. VivoLogic 1.0 data analysis software: VivoLogic is a PC based application for viewing and analyzing patient data, used by Data Center personnel to provide information to health care providers. This software is equivalent to the currently marketed RespiEvents 4.2 software.
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#### DEPARTMENT OF HEALTH & HUMAN SERVICES
Image /page/2/Picture/1 description: The image shows the logo for the U.S. Department of Health & Human Services. The logo is a circle with the words "DEPARTMENT OF HEALTH & HUMAN SERVICES - USA" around the top half of the circle. Inside the circle is a stylized image of three human profiles facing to the right. The profiles are stacked on top of each other, with the top profile being the smallest and the bottom profile being the largest.
#### Public Health Service
Food and Drug Administration 9200 Corporate Boulevard Rockville MD 20850
APR 2 4 2002
Keith Gilroy, Ph.D. V.P. Product Development VivoMetrics, Inc 121 North Fir Street, Suite E Ventura, CA 93001
Re: K011903
Trade Name: LifeShirt System with VivoLogic Analysis Software Regulation Number: 21 CFR 870.1425 Regulation Name: Programmable Diagnostic Computer Regulatory Class: Class II (two) Product Code: DQK Dated: February 14, 2002 Received: February 15, 2002
Dear Dr. Gilroy:
This letter corrects our substantially equivalent letter of April 12, 2002, regarding the indications for use statement.
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). 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.
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#### Page 2 - Keith Gilroy, Ph.D
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); 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.
This letter will allow you to continue marketing your device as described in your Section 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 Part 809.10 for in vitro diagnostic devices), please contact the Office of Compliance at (301) 594-4646. Additionally, for questions on the promotion and advertising of your device, please contact the Office of Compliance at (301) 594-4639. Other general information on your responsibilities under the Act may be obtained from the Division of Small Manufacturers, International and Consumer Assistance at their toll free number (800) 638-2041 or at (301) 443-6597 or at its Internet address http://www.fda.gov/cdrh/dsma/dsmamain.html.
Sincerely yours,
Donna-Bea Tillman, Ph.D.
Acting Director Division of Cardiovascular and Respiratory Devices Office of Device Evaluation Center for Devices and Radiological Health
Enclosure
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# 510(k) Number (if known):__K011903
Device Name: LifeShirt System with VivoLogic Analysis Software
## Indications for Use:
The Life Shirt system is intended for use by one adult during daily activities of The Life Shirt System is michaea cerading physiological data for later analysis by a physician. Respiration, ECG, pulse oximetry, blood pressure, and body position a physician. The system is intended to provide analysis of breathing data may be conected. Thic tyot appeas as well as displaying heart rate changes patterns as an all in claboring aparis the wake and sleeping states as well as trom electrocardidographic wavelorms in all was were aceutical studies in which acuvities of daily fiving. Trippiesul indicator, or the general healthcare market respiratory information is a userel manue and the data provided to their physicians as an aid to diagnosis and treatment.
# (PLEASE DO NOT WRITE BELOW THIS LINE -- CONTINUE ON ANOTHER PAGE IF NEEDED)
Concurrence of CDRH, Office of Device Evaluation (ODE)
Division of Cardigyascular & Respiratory Devices
510(k) Number KO (1) 30 510(k) Number 10
Prescription Use (Per 21 C.F.R. 801.109) OR
Over-The-Counter Use_
(Optional Format 1-2-96)
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.