The CentrePoint Insight Watch is a small wrist-worn activity monitor designed for documenting physical movement associated with applications in physiological monitoring. The device is intended to monitor the activity associated with movement during sleep. The CentrePoint Insight Watch can be used to analyze circadian rhythms and assess activity in any instance where quantifiable analysis of physical motion is desirable.
Device Story
Compact, wrist-worn activity monitor; utilizes 3-axis MEMS accelerometer to capture physical motion data; data timestamped and stored in non-volatile memory; device charged via separate dock connected to USB power source; data offloaded to PC for post-processing; used in clinical or home settings; operated by patients or clinicians; output provides quantifiable physical motion metrics; assists clinicians in assessing activity levels and circadian rhythms; benefits include objective, long-term monitoring of patient movement and sleep patterns.
Clinical Evidence
No clinical data provided. Substantial equivalence supported by bench testing, including performance/reliability testing, comparative data analysis, biocompatibility, and electrical safety/EMC testing.
Technological Characteristics
Wrist-worn device; 3-axis MEMS accelerometer; sampling rate 32-256 Hz; +/- 8g dynamic range; 512 MB memory; rechargeable lithium battery; Bluetooth Low Energy; housing: medical-grade copolyester; wrist band: silicon (ISO 10993-1 compliant); IP57 water resistance; firmware: Embedded C.
Indications for Use
Indicated for patients requiring physiological monitoring of physical movement and activity, including movement during sleep, circadian rhythm analysis, and general quantifiable analysis of physical motion.
Regulatory Classification
Identification
A biofeedback device is an instrument that provides a visual or auditory signal corresponding to the status of one or more of a patient's physiological parameters (e.g., brain alpha wave activity, muscle activity, skin temperature, etc.) so that the patient can control voluntarily these physiological parameters.
Special Controls
*Classification.* Class II (special controls). The device is exempt from the premarket notification procedures in subpart E of part 807 of this chapter when it is a prescription battery powered device that is indicated for relaxation training and muscle reeducation and prescription use, subject to § 882.9.
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Image /page/0/Picture/0 description: The image contains the logo of the U.S. Food and Drug Administration (FDA). On the left is the Department of Health & Human Services logo. To the right of that is the FDA logo, which is a blue square with the letters "FDA" in white. To the right of the blue square is the text "U.S. FOOD & DRUG ADMINISTRATION" in blue.
May 24, 2018
ActiGraph, Inc. Brian Bell Vice President of Quality Affairs and Regulatory Affairs 49 E Chase Street Pensacola, Florida 32502
Re: K181077
Trade/Device Name: ActiGraph CentrePoint Insight Watch Regulation Number: 21 CFR 882.5050 Regulation Name: Biofeedback Device Regulatory Class: Class II Product Code: LEL Dated: April 20, 2018 Received: April 24, 2018
Dear Brian Bell:
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. Please note: CDRH does not evaluate information related to contract liability warranties. We remind you, however, that device labeling must be truthful and not misleading.
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.
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); medical device reporting of medical device-related adverse events) (21 CFR 803); good manufacturing practice requirements as set forth in the quality systems (QS) regulation (21 CFR Part 820);
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and if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR 1000-1050.
Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR Part 807.97). For questions regarding the reporting of adverse events under the MDR regulation (21 CFR Part 803), please go to http://www.fda.gov/MedicalDevices/Safety/ReportaProblem/default.htm for the CDRH's Office of Surveillance and Biometrics/Division of Postmarket Surveillance.
For comprehensive regulatory information about mediation-emitting products, including information about labeling regulations, please see Device Advice (https://www.fda.gov/MedicalDevices/DeviceRegulationandGuidance/) and CDRH Learn (http://www.fda.gov/Training/CDRHLearn). Additionally, you may contact the Division of Industry and Consumer Education (DICE) to ask a question about a specific regulatory topic. See the DICE website (http://www.fda.gov/DICE) for more information or contact DICE by email (DICE@fda.hhs.gov) or phone (1-800-638-2041 or 301-796-7100).
Sincerely,
# Michael J. Hoffmann -S
for
Carlos L. Peña, PhD, MS Director Division of Neurological and Physical Medicine Devices Office of Device Evaluation Center for Devices and Radiological Health
Enclosure
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# Indications for Use
510(k) Number (if known) K181077
Device Name ActiGraph CentrePoint Insight Watch
#### Indications for Use (Describe)
The ActiGraph CentrePoint Insight Watch is a small worn activity monitor designed for document associated with applications in physiological monitoring. The device is intended to monitor the activity associated with movement during sleep. The Insight watch can be used to analyze circadian rhythms and assess activity in any instance where quantifiable analysis of physical motion is desirable.
| Type of Use (Select one or both, as applicable) |
|-------------------------------------------------|
|-------------------------------------------------|
| <div> <span> <span style="font-size:20px">☑</span> Prescription Use (Part 21 CFR 801 Subpart D) </span> </div> |
|-------------------------------------------------------------------------------------------------------------------|
| <div> <span> <span style="font-size:20px">☐</span> Over-The-Counter Use (21 CFR 801 Subpart C) </span> </div> |
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# K181077
#### 510(k) Summary
#### Submitter Information
Company Name: Contact Person: Address: Telephone Number: Date Prepared:
ActiGraph, Inc. Brian A. Bell brian.bell@actigraphcorp.com 49 E Chase St. Pensacola, FL 32502 850-332-7900 x5115 May 24, 2018
# Subject Device
Trade Name: Common or Usual Name: Classification:
ActiGraph CentrePoint Insight Watch Sleep assessment device (actigraphy) Class II, Biofeedback Device 21 CFR 882.5050 LEL
Product Code:
# Predicate Device
Predicate:
ActiTrainer K080545 21 CFR 890.5360, ISD (measuring exercising equipment)
# Device Description
The ActiGraph CentrePoint Insight Watch is a compact, battery-operated wearable activity recording device with physical characteristics similar to those of a small wristwatch. The watch is intended to acquire and store data from an onboard accelerometer while being worn during normal activities and/or during sleep. The data record is timestamped and stored in non-volatile memory for later retrieval. Downloaded data can be post-processed based on the timestamp and magnitude of acceleration along each axis.
The housing is constructed of a combination of opaque and clear copolyesters formulated specifically for medical devices (i.e., tested and determined biocompatible), and the core data collection sensor is a 3-axis microelectromechanical system (MEMS) accelerometer. A charging dock connected to a USB power source is used to charge the device battery and communicate with a PC or peripheral.
# Intended Use
The CentrePoint Insight Watch is a small wrist-worn activity monitor designed for documenting physical movement associated with applications in physiological monitoring. The device is intended to monitor the activity associated with movement during sleep. The CentrePoint Insight Watch can be used to analyze circadian rhythms and assess activity in any instance where quantifiable analysis of physical motion is desirable.
# Comparison of Technological Characteristics with Predicate
The ActiGraph CentrePoint Insight Watch is a compact, battery-operated wearable activity recording device with physical characteristics similar to those of a small wristwatch. The watch is intended to acquire and store data from an onboard accelerometer while being worn by the end user during normal activities and/or during sleep. The subject device includes a dock accessory which is required to charge the watch. Table 1, below, includes a comparison of the predicate and subject devices.
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# Table 1
| Characteristic | Predicate Device K080545 | Subject Device K181077 |
|-----------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Indications for Use<br>(Identical) | Rx Only<br>A small worn activity monitor<br>designed for documenting physical<br>movement associated with<br>applications in physiological<br>monitoring. The device is intended to<br>monitor the activity associated with<br>movement during sleep. Can be used<br>to analyze circadian rhythms and<br>assess activity in any instance where<br>quantifiable analysis of physical<br>motion is desirable. | Same |
| Materials of<br>Construction | Polycarbonate (housing)<br>Nylon & Velcro® (wrist band) | Different; Combination Copolymer<br>(housing)<br>Silicon (wrist band), conforms to<br>10993-1 Fourth edition 2009-10-15 |
| Power Source | Lithium Ion Battery Rechargeable via<br>USB | Same |
| Accelerometer<br>Type | Microelectromechanical system<br>(MEMS)-based integrated circuit | Same |
| Accelerometer<br>Sampling Rate | 30 Hz, Analog method | Different: Digital method, 32 Hz –<br>256 Hz |
| Accelerometer<br>Dynamic Range | +/- 5 g | +/- 8 g |
| Firmware | Embedded C | Embedded C (updated version) |
| Wireless<br>Communications<br>Interface | Polar® module | Different: Bluetooth® Low Energy;<br>conforms to AAMI / ANSI / IEC<br>60601-1-2, Medical Electrical<br>Equipment - Part 1-2: General<br>Requirements for Safety - Collateral<br>Standard: Electromagnetic<br>Compatibility - Requirements and<br>Tests and IEC 60601-1-2, Medical<br>Electrical Equipment - Part 1-2:<br>General Requirements For Basic<br>Safety And Essential Performance -<br>Collateral Standard: Electromagnetic |
| | | Disturbances – Requirements And Tests. |
| Memory | 1024kB | 512 MB |
| Heart Rate | BPM | Same |
| Accelerometer Sensitivity | 4 milli-g per Least Significant Bit | Different; 2.4 milli-g per Least Significant Bit |
| Storage Temperature | -10 °C to 50 °C | Same |
| Operating Temperature | 0 °C to 40 °C | Different; -10°C to 55°C (discharging)<br>0°C to 45°C while charging |
| Water Resistance | IP21 (condensation) | Minimum IP57 (1m for 30 minutes) |
| Weight | 51 grams | 33 grams |
| Size | Width: 3.37 in (85.6 mm)<br>Height: 1.5 in (38.1 mm)<br>Thickness: 0.6 in (15.2 mm) | Width: 1.41 in (35.8 mm)<br>Height: 1.97 in (50.1 mm)<br>Thickness: 0.41 in (10.5 mm) |
| Recording Time @ 1 min. Epoch | 14 days | 30 days |
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# Technological and Performance Characteristics
The subject device, Insight Watch, includes the same fundamental technology and functionality of the predicate device, ActiTrainer, by monitoring activity using a three-axis accelerometer.
In this Special 510(k) Submission, the objective of the modification is to reduce the overall dimension to those of a wrist watch. To achieve this size reduction, the USB A-Type male connector was replaced with pins that contact a separate charging dock.
The CentrePoint Insight Watch incorporates several sub-component upgrades resulting from electronic component obsolescence, as the predicate was designed 10 years. However, this does not change how the product is intended to be used or its fundamental design and principle of operation.
The similarities to the predicate ActiTrainer device are:
- Same intended use and indications for use by way of accelerometry and heart rate . monitoring (i.e., monitor for non-specific activity and motion)
- · Same fundamental scientific technology characteristics
- · Utilize a microelectromechanical system (MEMS) accelerometer to measure movement
- · Leverage a microcontroller to sample and store data from the MEMS accelerometer
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- Contain digital memory to store the sampled data o
- Utilize USB technology to offload stored data and recharge the lithium battery о
- Same power source, a rechargeable lithium battery o
- Same operating principle 0
- Incorporate the same basic design (small wearable) ●
#### Non-Clinical Testing in Support of Substantial Equivalence and Device Performance
The following bench testing was conducted to support a determination of substantial equivalence to the predicate and to demonstrate performance. The non-clinical bench tests included:
- Performance and reliability testing
- Comparative data analysis
- Basic safety and essential performance in accordance with AAMI ES60601 .
- Electromagnetic compatibility (EMC) in accordance with IEC 60601
- Biocompatibility and material standards confirms there is no harm to the patient wearing the device.
- . System compatibility with ActiGraph software for data download and collection
#### Conformance to Recognized Voluntary Consensus Standards
Standards to which the subject device conforms are outlined below:
| Body | Standard ID | Standard Title |
|---------------------|------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| IEC | 60601-1-2 | Medical Electrical Equipment - Part 1-2: General<br>Requirements For Basic Safety And Essential<br>Performance - Collateral Standard: Electromagnetic<br>Disturbances - Requirements And Tests. |
| ANSI<br>AAMI<br>ISO | 14971:2007/(R)2010<br>(Corrected 4<br>October 2007) | Medical devices - Applications of risk management to<br>medical devices |
| AAMI<br>ANSI<br>ISO | 60601-1-2 | Medical Electrical Equipment - Part 1-2: General<br>Requirements for Safety - Collateral Standard:<br>Electromagnetic Compatibility - Requirements and<br>Tests |
| ISO | 10993-1<br>Fourth Edition 2009-<br>10-15 | Biological evaluation of medical devices - Part 1:<br>Evaluation and testing within a risk<br>management process [Including: Technical<br>Corrigendum 1 (2010)] |
| IEC | 62133<br>Edition 2.0 2012-12 | Secondary cells and batteries containing alkaline or<br>other non-acid electrolytes - Safety requirements for<br>portable sealed secondary cells, and for batteries<br>made from them, for use in portable applications<br>[Including: Corrigendum 1 (2013)] |
| ISO | 15223-1<br>Edition: 3, Corrected<br>version: 2017-03 | Medical devices - Symbols to be used with medical<br>device labels, labelling and information to be<br>supplied -- Part 1: General requirements |
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| Body | Standard ID | Standard Title |
|------|---------------------------------------------------------------------|----------------------------------------------|
| IEC | 60529; Edition: 2:<br>1989 consolidated<br>with amendment<br>1:1999 | Degrees of protection provided by enclosures |
# Clinical Testing
This premarket submission did not rely on the assessment of clinical performance data to demonstrate substantial equivalence.
#### Conclusion
Through the comparison of technological and performance characteristics, the proposed device found to be substantially equivalent to the predicate device.
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.