The Mini-Logger® is an ambulatory logging device that enables out-patient data collection for clinical and research applications. The Mini-Logger® is a compact, lightweight, physiological data logger for monitoring heart rate or inter-beatinterval (IBI), temperature, ambient light, and activity. The Mini-Logger® can be used in behavioral and circadian rhythm studies, sleep research, occupational health and sports medicine research, obesity/weight loss studies, behavioral and addiction studies. The device can be used for any assement of human heart rate or inter-beat-interval, temperature, and activity that requires logging of data over time and an integrated analysis of the forementioned parameters. The Mini-Logger may be used in any instance where quantifiable analysis of physiological data is desirable.
Device Story
Mini-Logger Series 2000 is a compact, battery-powered ambulatory physiological data logger; worn in shirt pocket or on belt. Inputs: thermistor probes (temperature), chest band ECG electrodes (heart rate/IBI), motion-sensitive switches (gross motor activity), and photoconductive sensors (ambient light). Device logs digital data and resistances representing signal amplitudes; stores data in internal memory (128KB or 1MB). Used in clinical/research settings for behavioral, sleep, and circadian studies. Data downloaded to IBM-compatible PC for analysis. Provides longitudinal physiological monitoring; enables quantifiable analysis of human physiological parameters over time.
Clinical Evidence
No clinical data provided; bench testing only.
Technological Characteristics
Solid-state data logger; 65x120x22 mm; 125g. Powered by two 3.6V lithium cells. Inputs: thermistor, ECG electrodes, motion switch, photoconductor. Memory: 128KB or 1MB. Connectivity: direct-wired probes; PC download via cable. Operating temperature: 0-40°C. Not water resistant.
Indications for Use
Indicated for monitoring heart rate, inter-beat-interval (IBI), temperature, ambient light, and activity in humans. Used for behavioral, circadian rhythm, sleep, occupational health, sports medicine, and obesity/weight loss research or clinical assessments requiring longitudinal data logging and analysis.
Regulatory Classification
Identification
A physiological signal conditioner is a device such as an integrator or differentiator used to modify physiological signals for recording and processing.
{0}------------------------------------------------
510(k) Premarket Notification Mini-Logger® June 22, 1999
K991045
#### 10.0 510(K) SUMMARY
### 10.1 Summary Information
#### Submitter's Name and Address 10.1.1
Jack E. McKenzie, Ph.D. Mini-Mitter Co., Inc. P.O. Box 3386 56885 Enterprise Dr. Sunriver, Oregon 97707
June 22, 1999 Date summary was prepared:
#### 10.1.2 Name of Device
Mini-Logger® Series 2000 Trade Name: Physiological Data Logging Device Common Name: Classification Name: Physiological signal conditioner (Product Code GYE)
#### Identification of predicate device 10.1.3
Vitalog HMS-5000 510(k) Number : K914085
{1}------------------------------------------------
### 10.1.4 Device Description
### 10.1.4.1 Functions of the device
The Mini-Logger® Series 2000 is a compact physiological data logger whose physical size and appearance are similar to a small TV remote control. The Mini-Logger® is powered from two replaceable, non-rechargeable lithium cells. The Mini-Logger® is generally worn in the shirt pocket or on a belt using its optional soft pouch. Direct-wired probes used to sense the physiological data are plugged into one or more of the four available data input channels.
### 10.1.4.2 Basic scientific concepts
The device acquires and logs digital data and resistances whose values represent the amplitudes of physiological signals. The physiological signals are temperature, heart inter-beat-interval (IBI), counts representing gross motor activity, and resistance representing ambient light intensity. The scientific concepts and technologies that are used to sense the signals are summarized in Table 10.
{2}------------------------------------------------
## TABLE 10. BASIC TECHNOLOGIES USED FOR PHYSIOLOGICAL SIGNAL RECORDING IN MINI-LOGGER®SENSOR PROBES.
| Physiological Parameter | Sensor Used | Sensor Technology | Signal Obtained |
|----------------------------------------|-------------------------|-----------------------------------------------------------------------------|--------------------------------------------------|
| Skin, ear canal, rectal<br>temperature | Thermistor probe | Thermistor resistance<br>varies uniquely with<br>temperature. | Resistance. |
| Heart rate | Polar chest band | Low-impedance ECG skin<br>electrode and high-<br>impedance signal amplifier | Digital pulse for each heart<br>beat. |
| Heart IBI | Polar chest band | Low-impedance ECG skin<br>electrode and high-<br>impedance signal amplifier | Digital pulse for each heart<br>beat. |
| Gross motor activity | Motion-sensitive switch | Hermetically-sealed and<br>encapsulated switch | Switch closures which<br>provide digital pulses. |
| Ambient light | Photoconductive sensor | Photoconductor whose<br>resistance varies with<br>changing light levels. | Resistance. |
{3}------------------------------------------------
### 10.1.4.3 Physical characteristics
Pertinent physical characteristics of the Mini-Logger® data logger are shown in Table 11.
| Parameter | Value |
|-------------------------|------------------------------------------|
| Size | 65x120x22 mm |
| Weight | 125 grams |
| Battery type | 3.6 volt lithium cells (2 each) |
| Moisture susceptibility | Not water resistant |
| Memory | 128 Kilobyte or<br>1 Megabyte |
| Storage Temperature | -10 C to 50 C at 0-95% relative humidity |
| Operating Temperature | 0 C to 40 C |
TABLE 11. PHYSICAL CHARACTERISTICS OF MINI-LOGGER®.
### Statement of the intended use of the device. 10.1.5
The Mini-Logger® is an ambulatory logging device that enables out-patient data collection for clinical and research applications. The Mini-Logger® is a compact, lightweight, physiological data logger for monitoring heart rate or inter-beatinterval (IBI), temperature, ambient light, and activity. The Mini-Logger® can be used in behavioral and circadian rhythm studies, sleep research, occupational health and sports medicine research, obesity/weight loss studies, behavioral and addiction studies. The device can be used for any assement of human heart rate or inter-beat-interval, temperature, and activity that requires logging of data over time and an integrated analysis of the forementioned parameters. The Mini-Logger may be used in any instance where quantifiable analysis of physiological data is desirable.
{4}------------------------------------------------
### How the technological characteristics of the device compare to 10.1.6 those of the predicate device:
The Mini-Logger® and theVITALOG HMS-5000 Pocket Polygraph (FDA 510(k) Number: K914085) are both diagnostic test systems based upon the concept of a portable, unattended physiological monitor that logs sensor-input physiological data to the logging device. The device communicates the data with an IBM-compatible computer. These devices are both solid-state monitors with user-definable data collection algorithms, numbers of channels, types of channels, and with the ability to store data until it is down-loaded into the PC. The Mini-Logger® and theVITALOG HMS-5000 Pocket Polygraph are of similar size and weight. Both devices have an internal clock and event marker to time-stamp and mark data for later interpretation. . The Mini-Logger® has five specific types of data that can be input: temperature, gross motor activity, heart rate, heart inter-beat-interval (IBI) and ambient light. The VITALOG HMS-5000 Pocket Polygraph has the potential for twenty-three sensor inputs to include temperature, gross motor activity, heart rate, and ambient light.
{5}------------------------------------------------
Image /page/5/Picture/1 description: The image shows the logo for the U.S. Department of Health & Human Services. The logo is circular and contains the words "DEPARTMENT OF HEALTH & HUMAN SERVICES - USA" around the perimeter. Inside the circle is an abstract image of an eagle or bird-like figure, composed of three curved lines.
Food and Drug Administration 9200 Corporate Boulevard Rockville MD 20850
SEP 2 1 1999
Jack E. McKenzie, Ph.D. Vice President of Market Development Mini Mitter Co., Inc. P.O. Box 3386 Sunriver, Oregon 97707
K991045 Re: Trade Name: Mini-Logger® Series 2000 Regulatory Class: II Product Code: GWK Dated: June 22, 1999 Received: June 24, 1999
Dear Dr. McKenzie:
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 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 requirement, 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.
{6}------------------------------------------------
Page 2 - Jack E. McKenzie, Ph.D.
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) 594-4595. 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/dsmamain.html".
Sincerely yours.
Sincerely yours,
Salim McWitt, Ph.D., M.D.
Celia M. Witten, Ph.D., M.D. Director Division of General and Restorative Devices Office of Device Evaluation Center for Devices and Radiological Health
Enclosure
{7}------------------------------------------------
Mini Mitter Co, Inc.
510(k) Premarket Notification Mini-Logger® June 22, 1999
### INDICATIONS FOR USE 2.0
510(k) Number (if known):
K991045
Mini-Logger® Series 2000
# Device Name:
Indications for Use:
The Mini-Logger® Series 2000 (hereafter referred to as Mini-Logger) is a compact, lightweight, physiological data logger for monitoring heart rate, interbeat-interval (IBI), temperature, ambient light, and activity. The Mini-Logger® can be used in behavioral and circadian rhythm studies, sleep research, occupational health and sports medicine research, and obesity/weight loss studies. The device can be used for any assement of human heart rate or IBI, temperature, and activity that requires logging of data over time and an integrated analysis of the forementioned parameters. The Mini-Logger® may be used in any instance where quantifiable analysis of physiological data is desirable.
(PLEASE DO NOT WRITE BELOW THIS LINE - CONTINUE ON ANOTHER PAGE IF NEEDED)
Concurrence of CDRH, Office of Device Evaluation (ODE)
Prescription Use______________________________________________________________________________________________________________________________________________________________
OR
Over-The-Counter Use
(Per 21 CFR 801.109)
(Optional Format 1-2-96)
baséat
eral Restorative De
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.