K063447 · Fasstech · IKN · Aug 16, 2007 · Physical Medicine
Device Facts
Record ID
K063447
Device Name
INSIGHT DISCOVERY
Applicant
Fasstech
Product Code
IKN · Physical Medicine
Decision Date
Aug 16, 2007
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 890.1375
Device Class
Class 2
Attributes
3rd-Party Reviewed
Indications for Use
To measure bilateral differences in surface EMG along the spine To measure surface EMG along the spine during functional tasks . To measure bilateral differences in skin temperature along the spine To measure Range of Motion of the three spinal regions I To measure patient self-reported pressure sensitivity in joints and muscles . To measure Heart Rate 미 To chart patient progress during the course of treatment
Device Story
Insight Discovery is a non-invasive, multi-modality physiologic monitoring device used in clinical settings by healthcare providers. It collects data via six sensor types: surface EMG electrodes, infrared temperature sensors, an algometer (pressure transducer), a heart rate sensor (IR plethysmograph), and inclinometers (wired or wireless). Sensors connect to an instrument console, which transmits data via an isolated USB link to a PC. Software displays real-time readings, graphs, and generates integrated reports. The device assists clinicians in assessing spinal muscle activity, skin temperature, joint/muscle pressure sensitivity, range of motion, and heart rate to monitor patient progress over the course of treatment.
Clinical Evidence
Bench testing only. No clinical data provided.
Technological Characteristics
Multi-modality monitoring system. Materials: Impact-resistant ABS plastic and aluminum. Sensors: EMG (20-500 Hz, 150 dB CMRR), infrared thermopile, pressure transducer, IR plethysmograph, and inclinometers. Connectivity: Isolated USB to PC; wireless inclinometer uses Bluetooth Class 1. Power: UL2601 listed 12V power supply. Electrical safety: Dual isolation barriers (DC-to-DC converter and optically isolated data link).
Indications for Use
Indicated for measuring spinal surface EMG, skin temperature, range of motion, pressure sensitivity, and heart rate to chart patient progress during treatment. No specific age or gender restrictions provided.
Regulatory Classification
Identification
A diagnostic electromyograph is a device intended for medical purposes, such as to monitor and display the bioelectric signals produced by muscles, to stimulate peripheral nerves, and to monitor and display the electrical activity produced by nerves, for the diagnosis and prognosis of neuromuscular disease.
{0}------------------------------------------------
# Xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
# ATTACHMENT 4
AUG 16 2007
# Insight Discovery
510(k) Summary
Submitted by:
Company Name: Company Address #1: Company Address #2: Contact Person: Phone Number: Fax Number:
Fasstech 76 Treble Cove Road, #2 North Billerica, MA 01862 Lee Brody 978.663.2800 978.663.0999
Submitted on:
April 13, 2007
Insight Discovery 510(k) Summary
{1}------------------------------------------------
#### Section 1: Device Name
Proprietary Model Name: Common or Usual Name: Regulatory Name: Regulation Number: Product Code: Regulatory Class:
Insight Discovery Diagnostic Electromyograph Diagnostic Electromyograph 21 CFR 890.1375 IKN II
### Section 2: Indications for Use
- I To measure bilateral differences in surface EMG along the spine
- To measure surface EMG along the spine during functional tasks .
- . To measure bilateral differences in skin temperature along the spine
- I To measure Range of Motion of the three spinal regions
- l To measure patient self-reported pressure sensitivity in joints and muscles
- . To measure Heart Rate
- 미 To chart patient progress during the course of treatment
#### Section 3: Device Description
The Insight Discovery is a non-invasive, multi-modality physiologic monitoring device. The Insight Discovery contains the following six sensor types: (1) surface EMG used to measure muscle activity, (2) infrared temperature sensor used to measure skin temperature, (3) algometer used to measure patient self-reported pressure sensitivity, and (4) heart rate sensor to measure heart rate, (5) an inclinometer used to measure end-point range of motion, and (6) a wireless version of the inclinometer.
## Hardware
The Insight Discovery hardware consists of an instrument console and six different sensor types. The sensor types plug directly into the front panel of the Insight Instrument Console, with the exception of the wireless inclinometer. The Insight Discovery Instrument Console is powered via a UL2601 listed power supply. The Instrument Console is connected to a personal computer (IBM compatible) via an isolated USB port connection.
## Software
The Insight Discovery software displays real-time surface EMG, spinal Range of Motion, skin temperature, pressure, and heart rate readings, allowing the user to ensure that readings are stable prior to data collection. The Insight Discovery software allows the user to: (1) enter patient information, (2) record surface EMG, spinal Range of Motion, skin temperature, pressure and heart rate readings, (3) graph surface EMG, spinal Range of Motion, skin temperature, pressure and heart rate readings, and (4) print out reports, including an integrated report containing the results of all five recording types.
{2}------------------------------------------------
## Section 4: Predicate Device
This section documents the substantial equivalence of the Insight Discovery to a legally marketed device. Specifically, this section documents the substantial equivalence of Insight Discovery to the following product:
| Manufacturer | Predicate Device Name | 510(k) Number |
|------------------------|-----------------------|---------------|
| Insight Millennium III | Fasstech | K023209 |
The Insight Discovery is equivalent to this legally marketed device in the following ways:
- The physical characteristics and electrical characteristics (performance characteristics) of the . Insight Discovery are identical as to the Insight Millennium III, as cleared by FDA. The only difference is the addition of an optional wireless dual inclinometer in the place of the standard wired inclinometer.
The Insight Discovery differs from the legally marketed device in the following ways:
- l The addition of an optional wireless dual inclinometer
- . The extension of the Insight software to interface with the new inclinometer
| Feature | Insight Discovery | Insight Millennium III |
|-----------------------------------------------------------|-------------------|------------------------|
| Four Channels of surface EMG | Yes | Yes |
| Skin Temperature measurement via infrared thermal scanner | Yes | Yes |
| Range of Motion Sensor | Yes | Yes |
| Algometer | Yes | Yes |
| UL-2601 listed power supply | Yes | Yes |
| Heart-rate measure using IR Phethsmograph | Yes | Yes |
| Wireless version of the inclinometer | Yes | N/A |
## Predicate Device Comparison Chart
## Section 5: Performance Specification
Insight Discovery 510(k) Summary
{3}------------------------------------------------
The Insight Discovery specifications are summarized below and are identical to Insight Millennium III (except for the addition of the Dual Inclinometer):
EMG
Electrodes:
Calibrated Range: Input Bias Current: Differential Input Impedance: Common Mode Rejection: Bandwidth: Noise: Detector: Controls:
Temperature
Calibrated Range: Accuracy: Sensors:
Controls: Physical:
Size:
Algometer
Calibrated Range: Accuracy: Contact Area: Sensor: Controls: Physical:
Size:
Heart Rate Sensor Sensor Type
> Output Voltage: Output Impedance: Weight: Sensor Size:
Single Inclinometer Range: Accuracy: Axes: Controls:
4 ea. Smart Sensors with low-noise preamplifiers integral to clectrode assemblies 0.1 - 999 uV Less than 2.0 Picoamperes Greater than 1,000,000 Megaohms 150 dB 20-500 Hz (50/60 Hz notch) Less than 0.1 uV (inputs shorted) Log power detector, 250 mS averaging filter. None
55°F - 120°F +0.2°F nominal Two thermopile, fixed 2.5" apart (center-tocenter) Enter button Case Material: Impact-resistant, Aluminum with 0.5" ABS Plastic Outer Ring. 5.5"L x 3.5"W x 2.5"H. Weight 15 oz.
0-100 lbs. +3% nominal 1.0 cm4 One pressure transducer attached to a stiff rod. Enter button Case Material: Impact-resistant, Aluminum with 3.0" ABS Plastic Stiff Rod. 5.5"L x 1.75"W x 2.5"H. Weight 9 oz.
IR Plethsmograph (attached to finger with Velcro) 5 - 50 mV, typical at rest 1 kΩ2, nominal 28 grams 15 x 15 x6.3 mm
360 degrees +/- 1 degree nominal One Enter and Skip Buttons
Insight Discovery 510(k) Summary
{4}------------------------------------------------
| | Physical: | Case Material: Impact resistant, flame retardant ABS. |
|--|--------------------|----------------------------------------------------------------------------------------------------------------------------------|
| | | 3.4"H x 3.5"W x 1.25"D. Weight 6.5 oz. |
| | Dual Inclinometer | |
| | Range: | 360 degrees |
| | Accuracy: | +/- 1 degree nominal |
| | Axes: | Three |
| | Controls: | None |
| | Bluetooth Type: | Class 1 / +7dBm 5 mW |
| | Physical: | Case Material: Impact resistant, flame retardant ABS. |
| | | (1) 3.9"L x 2.0"W x 0.8"D. Weight 2.9 oz. |
| | | (2) 1.4"L x 1.4"W x 0.6"D. Weight 1.8 oz. |
| | Instrument Console | |
| | Inputs: | 4 each EMG electrodes<br>1 each inclinometer<br>1 each temperature sensor<br>1 each algometer sensor<br>1 each Heart Rate sensor |
| | Output: | Isolated USB |
| | A/D converter: | 16 bit, 16 channel |
| | Controls: | None |
| | Power: | 12V, 500 mA UL-2601 listed power supply. |
| | Physical: | Case Material: Impact resistant, flame retardant ABS. |
| | | 3.5"H x 8.375"W x 9"D. Weight 3 lbs. 11 oz. |
#### Section 6: Patient Safety
The Insight Discovery patient isolation is assured by the following two electrical isolation barriers:
- 1 . Medical-Grade Universal Power Supply: This device is a UL2601 compliant AC line to 12 VDC, 28 W converter. This internal power supply is partitioned from all other circuitry via an earthed steel chassis. The power supply accepts 85-264 VAC, and 47-63 Hz via a IEC 60320 fused input module.
This supply provides low-level isolated power to the Non-Patient Side of the Insight Discovery circuitry, as well as power to the DC-to-DC isolation converter that powers to the Patient Side (see #2 below).
- 2. DC-to-DC Patient Isolation Converter: This converter is a UL2601 compliant DC-to-DC converter, and meets the dielectric withstand and leakage current requirements of the UL2601 standard for Patient Care Equipment with isolated patient leads.
This converter supplies all power to patient-applied parts and related circuitry. Each of the direct patient-applied parts have individual current limiters for fault condition.
{5}------------------------------------------------
In addition, the Patient Side of the Insight Discovery is isolated from the host PC as follows:
- Signals are converted from analog voltages to 16 bit 3. Optically Isolated Data Link: digital values by the analog-to-digital converter (ADC). The digital data is sent to and from the USB of the PC across an optically isolated data link.
This optical link is UL2601 compliant, providing the dielectric withstand and low leakage current characteristics specified in UL2601.
## Section 7: Conclusion
The Insight Discovery is substantially equivalent to the predicate device. Furthermore, the device is safe and effective for its intended use.
{6}------------------------------------------------
Image /page/6/Picture/11 description: The image shows the logo for the U.S. Department of Health & Human Services. The logo consists of a circular seal with the text "DEPARTMENT OF HEALTH & HUMAN SERVICES - USA" around the perimeter. Inside the circle is a stylized symbol resembling an eagle or bird in flight, composed of three curved lines.
Food and Drug Administration 9200 Corporate Boulevard Rockville MD 20850
Fasstech % Intertek Testing Services NA, Inc. 2307 East Aurora Road Unit B7 Twinsburg, Ohio 44087 ATTN: Daniel W. Lehtonen
DEPARTMENT OF HEALTH & HUMAN SERVICES
AUG 1 6 2007
Re: K063447
Trade/Device Name: Insight Discovery Diagnostic Electromyograph Regulation Number: 21 CFR 890.1375 Regulation Name: Diagnostic Electromyograph Regulatory Class: Class II Product Code: IKN, HCC Dated: August 2, 2007 Received: August 3, 2007
Dear Mr. Lehtonen:
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.
If your device is classified (see above) into either class II (Special Controls) or class III (PMA), 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 898. In addition, FDA may publish further announcements concerning your device in the Federal Register.
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
{7}------------------------------------------------
Page 2 -- Mr. Daniel W. Lehtonen
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 begin 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), please contact the Office of Compliance at (240) 276-0120. Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21CFR Part 807.97). 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 (240) 276-3150 or at its Internet address http://www.fda.gov/cdrh/industry/support/index.html.
Sincerely yours,
Mark A. Millham
Mark N. Melkerson Director Division of General, Restorative and Neurological Devices Office of Device Evaluation Center for Devices and Radiological Health
Enclosure
{8}------------------------------------------------
# Indications for Use
510(k) Number (if known):
Device Name: Insight Discovery
Indications for Use:
To measure bilateral differences in surface EMG along the spine To measure surface EMG along the spine during functional tasks To measure bilateral differences in skin temperature along the spine To measure Range of Motion of the three spinal regions
To measure patient self-reported pressure sensitivity in joints and muscles To measure Heart Rate
To chart patient progress during the course of treatment
Prescription Use (Part 21 CFR 801 Subpart D)
AND/OR
Over-The-Counter Use (21 CFR 801 Subpart C)
(PLEASE DO NOT WRITE BELOW THIS LINE-CONTINUE ON ANOTHER PAGE OF NEEDED)
Concurrence of CDRH, Office of Device Evaluation (ODE)
Mudk N. Willians
(Division Sign-Off) Division of General, Restorative, and Neurological Devices
**510(k) Number** K06344
Page of
Predicate graph will load when search results are available.
Embedding visualization will load when search results are available.
PDF viewer will load when search results are available.
Loading panels...
Select an item from Submissions
Click any panel, subpart, regulation, product code, or device to see details here.
Section Matches
Results will appear here.
Product Code Matches
Results will appear here.
Special Control Matches
Results will appear here.
Loading collections...
Loading
My Alerts
You will receive email notifications based on the filters and frequency you set for each alert.
Sort by:
Create Alert
Search Filters
Agent Token
Create a read-only bearer token for Claude, ChatGPT, or other agents that can call HTTP APIs.
Copy this now. It will not be shown again.
Connected apps
Apps you authorized through browser sign-in. Disconnecting revokes their access immediately.
Learn the FDA Browser
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.