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510(k) Data Aggregation
(108 days)
It is a motor driven, indoor and outdoor transportation vehicle with the intended use to provide mobility to a disabled or elderly person limited to a seated position.
This scooter is a motor driven, indoor transportation vehicle with the intended use to provide mobility to a disabled or elderly person limited to a seated position.
The PS30 Scooter has a base with aluminum allov frame, two rear wheels, two anti-tip wheels, a seat, a tiller console, an electric motor, an electromagnetic brake, 1 rechargeable lithium Battery with an off-board charger. The movement of the scooter is controlled by the rider who operates the throttle lever, speed control dial and handle on the device is installed with an electromagnetic brake that will engage automatically when the scooter is not in use and the brake cannot be used manually. The Scooter only can be operated on the flat road.
The scooter is provided in four colors - cherry Red, Neptune Blue, Sunburst Orange, Frozen Grey Mat, for the outer shell of wheels and consoler panel.
The provided document is a 510(k) summary for the Scooter (PS30) and does not describe acceptance criteria or a study that proves a device meets acceptance criteria in the manner requested (i.e., for a medical device involving AI/machine learning, expert consensus, or complex clinical endpoints).
Instead, this document focuses on demonstrating substantial equivalence to a predicate device (K182471) for a motorized three-wheeled vehicle. The "acceptance criteria" here are essentially compliance with a comprehensive set of ISO and IEC standards relevant to wheelchairs and scooters, and the "study" is a series of non-clinical tests verifying that the device meets these standards and its design specifications.
Therefore, many of the specific details requested (like number of experts, adjudication methods, MRMC study, sample size for training set, ground truth establishment) are not applicable to this type of submission.
Below is an attempt to structure the available information into the requested format, clearly indicating when a category is not applicable based on the provided text.
Acceptance Criteria and Performance Study for Lichtmega Technology Co., Ltd.'s Scooter (PS30)
The "acceptance criteria" for the Scooter (PS30) are based on demonstrating compliance with a comprehensive set of ISO and IEC standards that address various aspects of electric wheelchairs and scooters, including stability, braking, energy consumption, dimensions, speed, strength, climatic performance, obstacle climbing, power/control systems, and electromagnetic compatibility. The "study" consisted of non-clinical tests to verify that the device met these standards and its design specifications.
1. Table of Acceptance Criteria (Standard Compliance) and Reported Device Performance
Acceptance Criteria Category/Standard | Specific Criteria/Requirements (Implied by standard) | Reported Device Performance/Conclusion |
---|---|---|
Safety & Performance Standards (Non-clinical tests conducted to comply with all below) | "Non-clinical tests were conducted to verify that the subject device met all design specifications and provided support of the substantial equivalence determination. The test results demonstrated that the proposed device complies with the following standards." | |
ISO 7176-1:2014 Wheelchairs - Part 1: Determination of static stability | Device meets static stability requirements. | Complies |
ISO 7176-2:2017 Wheelchairs - Part 2: Determination of dynamic stability | Device meets dynamic stability requirements for electric wheelchairs. | Complies |
ISO 7176-3:2012 Wheelchairs - Part 3: Determination of effectiveness of brakes | Brakes meet effectiveness requirements. | Complies |
ISO 7176-4:2008 Wheelchairs - Part 4: Energy consumption | Energy consumption meets standards for theoretical distance range. | Complies |
ISO 7176-5:2008 Wheelchairs - Part 5: Determination of dimensions, mass, maneuvering space | Dimensions, mass, and maneuvering space meet specified criteria. | Complies |
ISO 7176-6:2018 Wheelchairs - Part 6: Maximum speed, acceleration, deceleration | Speed, acceleration, and deceleration meet requirements. | Complies |
ISO 7176-7:1998 Wheelchairs - Part 7: Measurement of seating and wheel dimensions | Seating and wheel dimensions comply. | Complies |
ISO 7176-8:2014 Wheelchairs - Part 8: Static, impact, fatigue strength | Strength (static, impact, fatigue) meets requirements. | Complies S S S S S S S S S S |
ISO 7176-9:2009 Wheelchairs - Part 9: Climatic tests for electric wheelchairs | Performance under climatic conditions meets requirements. | Complies |
ISO 7176-10:2008 Wheelchairs - Part 10: Obstacle-climbing ability | Obstacle-climbing ability meets requirements. | Complies |
ISO 7176-11:2012 Wheelchairs -- Part 11: Test dummies | Use of appropriate test dummies for evaluation. | Complies |
ISO 7176-13:1989 Wheelchairs - Part 13: Determination of coefficient of friction | Coefficient of friction of test surfaces meets standards. | Complies |
ISO 7176-14:2022 Wheelchairs -- Part 14: Power and control systems | Power and control systems meet requirements and test methods. | Complies |
ISO 7176-15:1996 Wheelchairs - Part 15: Requirements for information disclosure | Information disclosure, documentation, and labeling meet requirements. | Complies |
ISO 16840-10:2021 Wheelchair seating - Part 10: Resistance to ignition | Postural support devices meet resistance to ignition requirements. | Complies |
ISO 7176-21:2009 Wheelchairs - Part 21: Electromagnetic compatibility (EMC) | EMC characteristics meet requirements for electrically powered wheelchairs and scooters. | Complies |
ISO 7176-22: 2014 Wheelchairs - Part 22: Set-up procedures | Set-up procedures comply with standards. | Complies |
ISO 7176-25:2013 Wheelchairs - Batteries and chargers | Batteries and chargers meet requirements for powered wheelchairs. | Complies |
IEC 60601-1-2:2020 Electromagnetic Compatibility Testing | EMC for medical electrical equipment complies with requirements. | Complies |
2. Sample size used for the test set and the data provenance:
- Sample Size: Not specified in terms of a "test set" as would be for clinical data. The tests are non-clinical, implying destructive/non-destructive testing of the device itself or its components. The document implies that at least one unit of the Scooter (PS30) and its components were subjected to these tests.
- Data Provenance: The tests were conducted to specific international standards (ISO, IEC), likely in a testing laboratory. The country of origin for the testing data is not explicitly stated, but the applicant and correspondent are based in Shanghai, China. The data is retrospective in the sense that the tests were completed before the submission.
3. Number of experts used to establish the ground truth for the test set and the qualifications of those experts:
- Not Applicable. This is a non-clinical device that does not involve expert interpretation or ground truth establishment in the diagnostic sense. Compliance with engineering standards is determined by test results against predefined limits, not expert consensus.
4. Adjudication method for the test set:
- Not Applicable. See point 3. The verification primarily involves physical and electrical measurements compared to standard specifications.
5. If a multi reader multi case (MRMC) comparative effectiveness study was done, If so, what was the effect size of how much human readers improve with AI vs without AI assistance:
- Not Applicable. This device is a mobility scooter and does not incorporate AI or involve human interpretation of medical images/data.
6. If a standalone (i.e. algorithm only without human-in-the-loop performance) was done:
- Not Applicable. This device is a mechanical and electrical product, not an algorithm.
7. The type of ground truth used:
- Engineering Standards and Design Specifications. The "ground truth" for this submission is established by the requirements outlined in the cited ISO and IEC performance and safety standards, as well as the device's own design specifications. The non-clinical tests verify that the device's performance aligns with these objective, measurable standards.
8. The sample size for the training set:
- Not Applicable. This is not an AI/machine learning device; therefore, there is no concept of a "training set."
9. How the ground truth for the training set was established:
- Not Applicable. See point 8.
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