The Personal Kinetigraph (PKG) is intended to quantify kinematics of movement disorder symptoms in conditions such as Parkinson's disease, including tremor, bradykinesia, and dyskinesia. It includes a medication reminder, an event marker and is intended to monitor activity associated with movement during sleep. The device is indicated for use in individuals 46 to 83 years of age.
Device Story
The Personal Kinetigraph (PKG) Gen 2 Plus is a wearable movement data logger worn on the wrist for 6-10 day cycles. It continuously records kinematics of movement disorder symptoms (bradykinesia, dyskinesia, tremor, immobility). Data is uploaded via a Docking Station or PKG Tablet to the GKCM Cloud Platform, where proprietary algorithms process the data to generate a PKG-2A Report. The report provides clinicians with symptom summaries, longitudinal views, and target ranges to assist in clinical decision-making and medication management. The system includes medication reminders and patient-operated event markers. It is used in clinical and home environments. The device benefits patients by providing objective, longitudinal data on movement disorder symptoms to optimize treatment plans.
Clinical Evidence
No clinical data. Substantial equivalence was established through bench testing, including electrical safety, EMC, mechanical safety, software verification/validation, cybersecurity, biocompatibility, and human factors/usability testing.
Technological Characteristics
Wearable wrist-worn movement data logger. Components: PKG Watch, Docking Station, PKG Tablet (Android-based), PKG Clinic Portal (cloud-based). Connectivity: Cloud-based data processing via GKCM Cloud Platform. Biocompatibility: ISO 10993-5, -10. Safety standards: IEC 60601-1, IEC 60601-1-2, IEC 60601-1-11. Software: IEC 62304 compliant. Connectivity: Docking station or tablet-based data upload.
Indications for Use
Indicated for individuals 46-83 years of age with movement disorder symptoms, including Parkinson's disease, to quantify kinematics of tremor, bradykinesia, and dyskinesia, and to monitor sleep-associated activity.
Regulatory Classification
Identification
A tremor transducer is a device used to measure the degree of tremor caused by certain diseases.
Predicate Devices
Personal Kinetigraph (PKG) System Model GKC-2000 (Gen 2) (K161717)
Submission Summary (Full Text)
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March 11, 2022
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GKC Manufacturing Pty Ltd % Kathy Herzog Regulatory Consultant DuVal & Associates. P.A. Suite 1820, Medical Arts Building 825 Nicollet Mall Minneapolis, Minnesota 55402
Re: K211887
Trade/Device Name: Personal Kinetigraph (PKG) System Gen 2 Plus Regulation Number: 21 CFR 882.1950 Regulation Name: Tremor Transducer Regulatory Class: Class II Product Code: GYD, ISD, NXQ Dated: February 8, 2022 Received: February 9, 2022
Dear Kathy Herzog:
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. Although this letter refers to your product as a device, please be aware that some cleared products may instead be combination products. The 510(k) Premarket Notification Database located at https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpmn/pmn.cfm identifies combination product submissions. 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
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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 801and Part 809; medical device reporting of medical device-related adverse events) (21 CFR 803) for devices or postmarketing safety reporting (21 CFR 4, Subpart B) for combination products (see https://www.fda.gov/combination-products/guidance-regulatory-information/postmarketing-safety-reportingcombination-products); good manufacturing practice requirements as set forth in the quality systems (QS) regulation (21 CFR Part 820) for devices or current good manufacturing practices (21 CFR 4, Subpart A) for combination products; 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 https://www.fda.gov/medical-device-safety/medical-device-reportingmdr-how-report-medical-device-problems.
For comprehensive regulatory information about medical devices and radiation-emitting products, including information about labeling regulations, please see Device Advice (https://www.fda.gov/medicaldevices/device-advice-comprehensive-regulatory-assistance) and CDRH Learn (https://www.fda.gov/training-and-continuing-education/cdrh-learn). 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 (https://www.fda.gov/medical-device-advice-comprehensive-regulatoryassistance/contact-us-division-industry-and-consumer-education-dice) for more information or contact DICE by email (DICE@fda.hhs.gov) or phone (1-800-638-2041 or 301-796-7100).
Sincerely,
for Jay Gupta Assistant Director DHT5A: Division of Neurosurgical, Neurointerventional and Neurodiagnostic Devices OHT5: Office of Neurological and Physical Medicine Devices Office of Product Evaluation and Quality Center for Devices and Radiological Health
Enclosure
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# Indications for Use
510(k) Number (if known)
Device Name
Personal Kinetigraph (PKG) System - Gen 2 Plus
Indications for Use (Describe)
The Personal Kinetigraph (PKG) is intended to quantify kinematics of movement disorder symptoms in conditions such as Parkinson's disease, including tremor, bradykinesia. It includes a medication reminder, an event marker and is intended to monitor activity associated with movement during sleep. The device is individuals 46 to 83 years of age.
Type of Use (Select one or both, as applicable)
| <span style="font-size:14px;">☑</span> Prescription Use (Part 21 CFR 801 Subpart D) |
|-------------------------------------------------------------------------------------|
| <span style="font-size:14px;">☐</span> Over-The-Counter Use (21 CFR 801 Subpart C) |
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### 510(K) SUMMARY 5.0
The 510(k) Summary has been prepared in accordance with Title 21 CFR Part 807 and is provided below.
#### 5.1 Submitter
GKC Manufacturing Pty Ltd Level 9, 31 Queen Street Melbourne, Victoria 3000 Australia
| Contact Person: | Jim Quackenbush |
|-----------------|----------------------------------------|
| Phone (USA): | +1 612.819.5478 |
| Email: | jim.quackenbush@globalkineticscorp.com |
| Date Prepared: | 17 June 2021 |
#### 5.2 Device
| Trade Name: | Personal Kinetigraph (PKG) System Gen 2 Plus |
|-----------------------|----------------------------------------------|
| Common or Usual Name: | Movement Disorder Monitoring System |
| Classification Name: | Transducer, Tremor (21 CFR 882.1950) |
| Regulatory Class: | II |
| Product Codes: | GYD, ISD, NXQ |
#### 5.3 Predicate Device
Personal Kinetigraph (PKG) System Model GKC-2000 (Gen 2) (K161717).
The predicate has not been subject to a design-related recall.
No reference devices were used in this submission.
#### Device Description 5.4
The Personal Kinetigraph (PKG) Gen 2 Plus utilizes a PKG Watch (movement data logger) worn by the patient on their wrist over 6-to-10 day recording cycles. The PKG Watch continuously records and quantifies the kinematics of movement disorder symptoms such as bradykinesia (BK), dyskinesia (DK), tremor, immobility, and dyskinesia fluctuations, in movement disorder conditions such as Parkinson's disease. Proprietary PKG Analysis Algorithms are used to analyze the movement data and generate a PKG-2A Report, which provides the clinical provider with a summary of these movement disorder symptoms, plotted over the full recording period. The PKG-2A Report includes an additional feature that allows the plots to be annotated by a qualified PKG Reporter.
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The PKG Watch includes a medication reminder to notify the patient when it is time to take their medication, and an event marker for the patient to record when they have taken their prescribed medication. The Personal Kinetigraph (PKG) Gen 2 Plus System includes the GKCM Cloud Platform (PKG Clinic Server), a cloud-based service for receiving and processing the movement data files and generating PKG-2A Reports.
The Personal Kinetigraph (PKG) Gen 2 Plus is a modified version of the predicate Personal Kinetigraph (PKG) System Model GKC-2000 (Gen 2) cleared under K161717, incorporating several new or enhanced features, including a Docking Station for charging the PKG Watch and uploading movement data files to the GKCM Cloud Platform, and a Clinic Portal (housed in the GKCM Cloud Platform), providing customer facing functions such as creating and editing patient details, scheduling medication reminders, raising PKG orders and viewing the PKG-2A Report.
The Personal Kinetigraph (PKG) Gen 2 Plus also includes a PKG Tablet and PKG Dock Cable, cleared previously under K161717. The PKG Tablet is an off-the-shelf Android based tablet that runs a custom software application to configure the PKG Watch before a recording session, extract recorded data after a recording session, and upload this data to the GKCM Cloud Platform. The PKG Dock Cable connects the PKG Watch to the PKG Tablet for configuration before a recording session, and allows for uploading of the movement data to the PKG Clinic Server after the recording session. The PKG Tablet and PKG Dock Cable are not required when using the Docking Station and Clinic Portal.
The Personal Kinetigraph (PKG) Gen 2 Plus system consists of the following key components:
- PKG Watch (movement data logger) including wrist bands; ●
- PKG Docking Station; ●
- PKG Clinic Portal;
- GKCM Cloud Platform (PKG Clinic Server); ●
- PKG Analysis Algorithms; ●
- PKG-2A Report;
- PKG Tablet; ●
- . PKG Dock Cable; and
- 5-Bay charger.
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#### ર.5 Indications for Use
The Personal Kinetigraph (PKG) is intended to quantify kinematics of movement disorder symptoms in conditions such as Parkinson's disease, including tremor, bradykinesia, and dyskinesia. It includes a medication reminder, an event marker and is intended to monitor activity associated with movement during sleep. The device is indicated for use in individuals 46 to 83 years of age.
### 5.6 Comparison of Technological Characteristics with the Predicate Device
The Personal Kinetigraph (PKG) System Gen 2 Plus is a modified version of the predicate Personal Kinetigraph (PKG) Model 2000 (Gen 2), cleared under K161717. The key changes to the PKG System reported in this application include:
- . The introduction of a Docking Station for charging the PKG Watch and uploading data to the PKG Clinic Server.
- . The introduction of the PKG Clinic Portal as an alternative to the PKG Tablet Application for use by the authorized Clinic staff to order PKGs, configure the PKG Watch, access PKG data, and manage all registered patients using the PKG Gen 2 Plus system at their clinic.
- Changes to the GKCM Cloud Platform to host the Clinic Portal, and web services . required for communication with the Docking Station.
- Modifications to the PKG Report (PKG-2A), including annotations summarizing . PKG findings performed by a qualified PKG Reporter, changes to the format and presentation of the graphical and tabular displays, addition of a longitudinal view of the previous 2 PKG report measures, and the inclusion of target ranges.
- . Additional wrist strap options for the patient to wear the PKG watch.
- Additional validated PKG Tablet models. ●
- Modified packaging to accommodate the Docking Station.
#### 5.7 Performance Data
The following performance data have been provided in support of the substantial equivalence determination:
#### 5.7.1 Electrical Safety, Essential Performance Electromagnetic Compatibility (EMC)
The changes introduced in the Personal Kinetigraph (PKG) - Gen 2 Plus underwent electrical safety and EMC evaluation and testing according to the following standards:
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- IEC 60601-1:2005+AMD1:2012 Medical electrical equipment Part 1: General . requirements for basic safety and essential performance.
- . IEC 60601-1-2:2014 Medical electrical equipment - Part 1-2: General requirements for basic safety and essential performance - Collateral standard: Electromagnetic compatibility - Requirements and tests.
- . IEC 60601-1-11:2015 Medical electrical equipment - Part 1-11: General requirements for basic safety and essential performance - Collateral standard: Requirements for medical electrical equipment and medical electrical systems used in the home healthcare environment. (Edition 1)
#### 5.7.2 Mechanical Safety Testing
The changes introduced in the Personal Kinetigraph (PKG) - Gen 2 Plus underwent mechanical safety evaluation and testing in accordance with the applicable requirements of 60601-1:2005+A1:2012 and IEC 601-1-11:2015 (home healthcare environment). Testing included:
- Shock & Vibration;
- Continuous Operation (Thermal Cycling); ●
- Transport and Storage;
- Impact Testing;
- Ingress Protection (IP21); ●
- Drop testing;
- . Push testing; and
- . Molding Stress Relief;
#### 5.7.3 Software Verification and Validation Testing
Software verification and validation testing were conducted in accordance with IEC 62304:2006 + AMD1:2015 Medical device software - Software life cycle processes and FDA's Guidance for Industry and "FDA Guidance for the Content of Premarket Submissions for Software Contained in Medical Devices", May 11, 2005.
#### 5.7.4 Cybersecurity
The Personal Kinetigraph (PKG) - Gen 2 Plus was designed and developed in accordance with the applicable requirements outlined in the FDA guidance Content of Premarket
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Submissions for Management of Cybersecurity in Medical Devices - Draft Guidance for Industry and Food and Drug Administration Staff OCTOBER 2018.
#### Biocompatibilitv Assessment 5.7.5
A biocompatibility evaluation for the Personal Kinetigraph (PKG) - Gen 2 Plus was conducted in accordance with the FDA Guidance document: Use of International Standard ISO-10993, "Biological Evaluation of Medical Devices Part 1: Evaluation and testing within a risk management process" September 4, 2020.
The following testing was conducted on the modified Wrist Strap materials:
- ISO10993-5:2009 Cytotoxicity; .
- . ISO10993-10:2010 Sensitization; and
- ISO10993-10:2010 Irritation. .
Biocompatibility testing was performed in an FDA recognized GLP testing facility.
#### 5.7.6 Human Factors Engineering / Usability Testing
Usability testing and Human Factors Engineering (HFE) was performed during the design and development of the Personal Kinetigraph (PKG) - Gen 2 Plus in accordance with the applicable requirements of IEC 62366-1:2015 Medical Devices: Part 1: Application of Usability Engineering to Medical Devices and FDA Guidance. Applying Human Factors and Usability Engineering to Medical Devices. Guidance for Industry and Food and Drug Administration Staff. Februarv 3, 2016.
#### 5.7.7 Clinical Data
Clinical data was not required for this submission as the changes to the Personal Kinetigraph (PKG) - Gen 2 Plus did not introduce any significant new risks, or changes to known risks, that would require clinical evaluation.
#### ર્સ્ક Conclusions
The safety and bench test data demonstrated that the Personal Kinetigraph (PKG) - Gen 2 Plus is substantially equivalent to the predicate device PKG System Model GKC-2000 (Gen 2) for the same intended use.
Any differences between the Personal Kinetigraph (PKG) - Gen 2 Plus and the predicate version of the device are not significant and do not raise new or different questions of safety or effectiveness.
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.