K033534 · Mini-Mitter Co., Inc. · FLL · Apr 22, 2004 · General Hospital
Device Facts
Record ID
K033534
Device Name
VITALSENSE
Applicant
Mini-Mitter Co., Inc.
Product Code
FLL · General Hospital
Decision Date
Apr 22, 2004
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 880.2910
Device Class
Class 2
Attributes
Expedited Review
Indications for Use
VitalSense® can be used in any setting where physiological body core and skin temperature are used to further the understanding of body function. The device can be used for simultaneous assessment of core body temperature, dermal surface temperature, or ambient temperatures that require logging of data over time with subsequent conversion, display, and analysis of the aforementioned parameters. VitalSense® may be used in any instance where quantifiable analysis of temperature data is desirable.
Device Story
VitalSense is a compact, ambulatory physiological data logger worn on a belt or in a pocket. It collects temperature data from up to ten wireless sensors (thermistor-based dermal patches or ingestible capsules). Sensors transmit digital waveforms representing temperature via duty cycle modulation. The logger records these signals, displays them on an integrated monochrome LCD, and stores data for later download to a PC. Data is transferred to a PC for conversion, display, and analysis. Used by clinicians or patients in various settings to monitor body function; provides quantifiable temperature data to assist in clinical decision-making and physiological assessment.
Clinical Evidence
Bench testing only. Performance verified against ASTM-E1112-00 standards. Temperature stability testing showed drift of +/- 0.01 °C over 10 hours. Accuracy testing across 25-50 °C range demonstrated performance within +/- 0.1 °C, with typical accuracy of +/- 0.05 °C. No clinical data presented.
Technological Characteristics
Ambulatory data logger; polycarbonate/ABS plastic housing; 120x90x25mm; 200g; 3.6V lithium battery. Sensing via thermistor-based wireless patches/capsules. Digital waveform duty cycle signal processing. Monochrome LCD with backlight. Non-permeable membrane switch interface. IP52 moisture protection. Connectivity via PC download.
Indications for Use
Indicated for use in any setting requiring physiological body core and skin temperature monitoring. Suitable for simultaneous assessment of core body temperature, dermal surface temperature, or ambient temperatures requiring data logging, conversion, display, and analysis.
Regulatory Classification
Identification
A clinical electronic thermometer is a device used to measure the body temperature of a patient by means of a transducer coupled with an electronic signal amplification, conditioning, and display unit. The transducer may be in a detachable probe with or without a disposable cover.
Special Controls
(1) Device is not a clinical thermometer with telethermographic functions;
(2) Device is not a clinical thermometer with continuous temperature measurement functions; and
(3) Appropriate analysis and testing (such as that outlined in the currently FDA-recognized editions, as appropriate, of ISO 80601-2-56, “Medical electrical equipment—Part 2-56: Particular requirements for basic safety and essential performance of clinical thermometers for body temperature measurement,” or ASTM E1965, “Standard Specification for Infrared Thermometers for Intermittent Determination of Patient Temperature,” or ASTM E1112, “Standard Specification for Electronic Thermometer for Intermittent Determination of Patient Temperature,” or ASTM E1104, “Standard Specification for Clinical Thermometer Probe Covers and Sheaths”) must validate specifications and performance of the device.
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#### 510(K) SUMMARY 11.0
#### Summary information 11.1
#### Submitter's name and address 11.1.1
Jack E. McKenzie, Ph.D. Mini-Mitter Co., Inc. 20300 Empire Ave., Bldg. B-3 Bend, Oregon 97701 541-322-7272 Fax 541-322-7277
November 4, 2003 Date summary was prepared:
#### Name of device 11.1.2
| Trade Name: | VitalSense® |
|----------------------|-----------------------------------|
| Common Name: | Physiological Data Logging Device |
| Classification Name: | Physiological Signal Conditioner |
| Product Code: | GWK |
#### Identification of predicate device 11.1.3
Mini-Logger® Series 2000, Physiological Data Logging Device 510(k) Number : K991045
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#### Device description 11.1.4
#### Functions of the device 11.1.4.1
VitalSense® is a compact, ambulatory, physiological data logger. VitalSense® may be attached to the belt or worn in a shirt pocket. Up to ten telemetric sensors may be used with a single VitalSense® logger. The device senses and records physiological data and displays the data on its LCD screen. Recorded data may be transferred later to a PC for display and conversion for export to other programs.
#### Basic scientific concepts 11.1.4.2
The device acquires and logs digital data whose values represent the amplitudes of physiological signals. Currently available wireless sensors (see Addendum 1) sense temperature as the physiological signal. The scientific concepts and technologies that are used to sense the signals are summarized in Table 13.
# TABLE 13. BASIC TECHNOLOGIES USED FOR PHYSIOLOGICAL SIGNAL RECORDING IN VITALSENSE®SENSORS
| Physiological Parameter | Sensor Used | Sensor Technology | Signal Obtained |
|--------------------------|----------------------|---------------------------------------------------------------|-----------------------------------------------------------------|
| Skin surface temperature | Surface dermal patch | Thermistor resistance<br>varies uniquely with<br>temperature. | Digital waveform whose<br>duty cycle represents<br>temperature. |
| Core body temperature | Ingestible capsule | Thermistor resistance<br>varies uniquely with<br>temperature. | Digital waveform whose<br>duty cycle represents<br>temperature. |
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#### Physical characteristics 11.1.4.3
- 11.1.4.5 - I hystear characteristics
Pertinent physical characteristics of the VitalSense® data logger are shown in Table 14.
| Parameter | Value |
|-----------------------|------------------------------------------|
| Size | 120 x 90 x 25 mm |
| Weight | 200 grams |
| Battery type | 3.6 volt lithium cell (1 ea) |
| Case material | Polycarbonate/ABS plastic |
| Moisture protection | IEC529-IP52<br>NEMA250-5 |
| Storage temperature | -20 C to 50 C at 5-95% relative humidity |
| Operating temperature | 0 C to 40 C |
| Interface panel | Non-permeable membrane switch panel |
| Display | Monochrome liquid-crystal with backlight |
TABLE 14. PHYSICAL CHARACTERISTICS OF VITALSENSE® LOGGER
#### Statement of the intended use of the device. 11.1.5
VitalSense® can be used in any setting where physiological body core and skin temperature are used to further the understanding of body function. The device can be used for simultaneous assessment of core body temperature, dermal surface temperature, or ambient temperatures that require logging of data over time with subsequent conversion, display, and analysis of the aforementioned parameters. VitalSense® may be used in any instance where quantifiable analysis of temperature data is desirable.
### How the technological characteristics of the device compare to 11.1.6 those of the predicate device
VitalSense® and the Mini-Logger® Series 2000 (FDA 510(k) Number: K991045) are each diagnostic test systems based upon the concept of an ambulatory, unattended physiological logger that logs sensor-input physiological data to the logging device. The device communicates
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the data with an IBM compatible personal computer (PC). Each of these devices is a solid-state logger with data collection algorithms, definable numbers of channels, types of channels, and with the ability to store data until it is downloaded into the PC. VitalSense® and the Mini-Logger® Series 2000 are of similar size and weight. Both devices have an internal clock and event marker to time-stamp and mark data for later interpretation. VitalSense® has the potential to input specific types of data on each of ten channels. The Mini-Logger® Series 2000 has the potential for five sensor inputs.
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#### Assessment of non-clinical performance data 11.2
1.2 Design Inputs $\Leftrightarrow$ Design Outputs methodology. Of the tests conducted in this verification, the temperature stability and temperature linearity are the two most important performance considerations. Mini Mitter Company has established criteria for the stability of temperature measurements, based on ASTM-E1112-00, clause 4.2. A summary of the test results for those are provided below.
#### First test: stability of temperature measurement 11.2.1
The measured temperature must not drift more than +/- 0.1 ℃ over a 10- to 12-hour period. As the chart indicates, the stability is +/- 0.01 ℃, ten times better than required.
Image /page/4/Figure/6 description: The image is a graph titled "Temperature Measurement Stability of Two Temperature Probes Relative to Bath Temperature = 37.00 Celsius". The x-axis is labeled "Time of Day" and spans from 7/30/2003 22:00 to 7/31/2003 10:00, with a total span of 10 hours. The y-axis is labeled "Temperature" and ranges from -0.05 to 0.05. The graph plots two data series: "Sensor 24 Error" and "Sensor 26 Error", with Sensor 24 Error generally plotting around -0.02 and Sensor 26 Error generally plotting around 0.02.
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#### Second test: temperature linearity 11.2.2
I I.2.2 Second test. temperature checked within +/- 0.1 °C of a standard, NIST-traccable digital RTD thermometer. Mini Mitter has tested the accuracy of VitalSense® over the range 25 -50 Celsius, and its performance is within +/- 0.1 °C (see section 5.6). See following chart.
Image /page/5/Figure/4 description: The image shows a graph titled "Temperature Performance of VitalSense Logger Jul-30-2003/Mini Mitter Co., Inc." The graph plots "Displayed Temperature ('C)" on the y-axis versus "Water Bath Temperature ('C)" on the x-axis. The graph shows a linear relationship between the two variables for "Sensor_24" and "Sensor_26".
#### Comparison to predicate device performance 11.3
Comparable data for the predicate device appear in the 510(k) Premarket Notification for that device (submitted June 22, 1999, by Mini Mitter Co., Inc.). In that Notification, data were provided that demonstrate Mini-Logger® Series 2000 has a typical accuracy of +/- 0.08 °C and a stability of +/- 0.03 °C. Data provided in the present Premarket Notification for VitalSense demonstrate a typical accuracy of +/- 0.05 °C and a stability of +/- 0.01 °C. Thus, VitalSense® performance exceeds that of the currently-marketed predicate device. A summary of these results appears in Table 12.
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.
# TABLE 12. VITALSENSE® AND MINI-LOGGER® SERIES 2000, TEMPERATURE MEASUREMENT CHARACTERISTICS
| Figure of Merit | <i>VitalSense</i> ® | <i>Mini-Logger</i> ® Series 2000 |
|-------------------|---------------------|----------------------------------|
| Typical Accuracy | +/- 0.05 °C | +/- 0.08 °C |
| Typical Stability | +/- 0.01 °C | +/- 0.03 °C |
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DEPARTMENT OF HEALTH & HUMAN SERVICES
Image /page/7/Picture/1 description: The image shows the logo for the U.S. Department of Health & Human Services. The logo consists of a stylized caduceus symbol, which features a staff with a snake winding around it, overlaid on a circular seal. Encircling the caduceus are the words "DEPARTMENT OF HEALTH & HUMAN SERVICES - USA" in a circular arrangement.
Public Health Service
Food and Drug Administration 9200 Corporate Boulevard Rockville MD 20850
APR 2 2 2004
Mini Mitter Company, Inc. Jack E. McKenzie, Ph.D. 20300 Empire Avenues Building B-3 Bend, Oregon 97701
Re: K033534
Trade/Device Name: VitalSense Regulation Number: 21 CFR 880.2910 Regulation Name: Clinical Electronic Thermometer Regulatory Class: II Product Code: FLL Dated: January 22, 2004 Received: February 11, 2004
Dear Dr. McKenzie:
We have reviewed your Section 510(k) premarket notification of intent to market the device we nave reviewed your Section 9 rotty pressession is substantially equivalent (for the indications for use stated in the enclosure) to legally marketed predicate devices marketed in interstate for use stated in the encrosule) to regally manat date of the Medical Device American be on the oddined. Dave comments that have been reclassified in accordance with the provisions of the Federal Food, Drug. devices that have been recuired in accercap.co in of a premarket approval application (PMA). and Cosment Act (Act) that to hot require appear al controls provisions of the Act. The You may, ulerelore, market the device, books of the mount registration, listing of general controls provisions of the tice, 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 If your device is classified (sec above) and existing major regulations affecting your device can
may be subject to such additional controls. Existing major regal of edition may be subject to such additional controls. Extremy may in 1998 In addition, FDA may
be found in the Code of Federal Regulations, Title 21, Parts 800 to 898, In addition, be found in the Code of Poderal Registering your device in the Federal Register.
Please be advised that FDA's issuance of a substantial equivalence determination does not mean Please be advised that FDA s issualles of a successfies with other requirements of the Act
that FDA has made a determination that your device of any also anaros. You must that FDA has made a decertimation that Jour at research agencies. You must or any Federal statutes and regulations dammistered of registration and listing (21 to comply with all the Act s requirements, me, good manufacturing practice requirements as set CFR Parl 807), labeling (21 CFR Party, good franch 820); and if applicable, the clectronic
forth in the quality systems (QS) regulation (21 CFR 1000); 11 CFR 1000 1050 forth in the quality systems (Sections 531-542 of the Act); 21 CFR 1000-1050.
product radiation control provisions (Sections 531-542 of the Act); 21 CFR 1000-1050.
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Page 2 – Dr. Jack E. McKenzie
This letter will allow you to begin marketing your device as described in your Section 510(k) This letter will anow you to begin marketing your avine equivalence of your device to a legally premarket nothcation. The PDA mixing of basification 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), please If you desire specific advice for your do not all one and the regulation entitled, Contact the Office of Comphance at (301) = if (21CFR Part 807.97). You may obtain "Misbranding by reference to premaince notification of Sciffrom the Division of Small other gelleral information on your responses Assistance at its toll-free number (800) 638-2041 or
Manufacturers, International and Consumer Assistance at its toll-freel Manufacturers, International and Consailerry//www.fda.gov/cdrh/dsma/dsmamain.html
Sincerely yours,
-miriam C. Provost
Colia M. Witten, Ph.D., M.D. Director Division of General, Restorative and Neurological Devices Office of Device Evaluation Center for Devices and Radiological Health
Enclosure
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## Indications for Use
510(k) Number (if known): ___K033534
Device Name:_ VitalSense® Integrated Physiological Monitoring System
Indications For Use:
VitalSense® can be used in any setting where physiological body core and skin temperature are used to further the understanding of body function. The device can be used for simultaneous assessment of core body temperature, dermal surface temperature, or ambient temperatures that require logging of data over time with subsequent conversion, display, and analysis of the aforementioned parameters. VitalSense® may be used in any instance where quantifiable analysis of temperature data is desirable.
Miriam C. Provost
(Division Sign-Off) Division of General, Restorative, and Neurological Devices
510(k) Number_________________________________________________________________________________________________________________________________________________________________
Prescription Use _ (Part 21 CFR 801 Subpart D) AND/OR
Over-The-Counter Use (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)
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.