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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.

The Solax Electric Scooter (Models: S204311M, S204161, S204143) is an indoor/outdoor electric scooter that is intended to be used by individuals that are able to walk, but suffer from mobility limitations. It has the following main components: two 6 inch solid front tires, two 7 inch solid rear tires, two anti-tip tires, control panel, steering handles, seat folding lever, backrest, arm rest, seat, steering column, seat frame, front/ rear covers, folding release lever, angle adjustment lever, height adjustment lock, carry handle, an off-board charger and aluminum alloy made frame, It is powered by two Li-ion DC rechargeable batteries with 18 km (on level surface) which maximum speed up to 6 km/hr. The movement of the scooter is controlled by the steering handles and control panel. 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.

This FDA 510(k) summary (K190737) describes the substantial equivalence of the Solax Electric Scooter to a previously cleared predicate device, rather than providing details of a study akin to those conducted for AI/ML-based medical devices. Therefore, much of the requested information regarding acceptance criteria, human reader studies, and ground truth establishment for AI systems is not applicable or present in this document.

However, I can extract information related to the performance testing and comparison to the predicate device, framing it as acceptance criteria and proof of meeting them within the context of a non-AI medical device.

Device Name: Solax Electric Scooter (Models: S204311M, S204161, S204143)
Intended Use: 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.

1. A table of acceptance criteria and the reported device performance

For a traditional medical device like this electric scooter, "acceptance criteria" are typically defined by performance standards (e.g., ISO standards) and by demonstrating equivalence to a predicate device. The "reported device performance" is the successful compliance with these standards and the demonstration that any differences from the predicate do not raise new safety or effectiveness concerns.

The remaining numbered points are primarily for AI/ML device studies and are not directly applicable to a traditional device 510(k) submission like this one, which relies on performance testing and substantial equivalence to a predicate.

2. Sample sized used for the test set and the data provenance:

• Sample Size: Not applicable in the context of an AI/ML test set. The study involves testing physical units of the scooter according to various ISO standards. The specific number of units tested is not detailed in this summary but would be determined by the requirements of each standard.
• Data Provenance: Not applicable. The "data" are results from physical performance and biocompatibility testing of the device itself, rather than a dataset of patient information. The testing would have been conducted by the manufacturer or a certified testing lab, likely in China, given the manufacturer's location. The testing is prospective in the sense that it's performed on the manufactured product to demonstrate compliance.

3. Number of experts used to establish the ground truth for the test set and the qualifications of those experts:

• Not applicable. "Ground truth" in the AI/ML sense (e.g., expert annotation of medical images) is not relevant here. Compliance with ISO standards is determined by prescribed test methods and objective measurements.

4. Adjudication method (e.g. 2+1, 3+1, none) for the test set:

• Not applicable. This is not a human reader study requiring adjudication. Test results are objectively measured against 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 is not an AI-assisted device or an imaging device requiring human reader studies.

6. If a standalone (i.e. algorithm only without human-in-the-loop performance) was done:

• Not applicable. This device does not use an algorithm in that capacity.

7. The type of ground truth used (expert concensus, pathology, outcomes data, etc):

• Not applicable in the AI/ML sense. The "ground truth" for this device's performance is defined by the objective pass/fail criteria of the various ISO performance and safety standards, and the direct comparison of its physical and functional characteristics to the predicate device.

8. The sample size for the training set:

• Not applicable. This is not an AI/ML device that requires a training set.

9. How the ground truth for the training set was established:

• Not applicable.

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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.

Not Found

I am sorry, but the provided text from the FDA letter does not contain information about an AI/ML medical device, its acceptance criteria, or any associated study details. The letter is a 510(k) premarket notification clearance for an electric scooter (Solax Electric Scooter Models S3121 and S312131), categorizing it as a Class II medical device.

Therefore, I cannot fulfill your request to describe the acceptance criteria and the study proving the device meets those criteria based on the provided input. The document discusses regulatory aspects of device marketing, such as general controls, registration, listing, labeling, and good manufacturing practices, but it does not delve into performance metrics or study designs typically associated with AI/ML diagnostic or prognostic devices.

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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.

Solax Electric Scooter (Model: S202261B)

This document is a 510(k) clearance letter from the FDA for a medical device called the "Solax Electric Scooter." It does not contain any information about acceptance criteria or a study proving the device meets acceptance criteria.

The letter is a notification that the FDA has determined the device is substantially equivalent to legally marketed predicate devices, allowing it to be marketed. It outlines regulatory requirements that the manufacturer must comply with, such as registration, labeling, and good manufacturing practices.

Therefore, I cannot extract the requested information (table of acceptance criteria, sample sizes, expert qualifications, adjudication methods, MRMC studies, standalone performance, ground truth details, or training set information) from this document. This letter pertains to a regulatory clearance, not a technical performance study report.

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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.

Not Found

This document is a 510(k) clearance letter from the FDA for a Solax Electric Scooter, a motorized three-wheeled vehicle. It does not contain any information about an AI/ML-based medical device, its acceptance criteria, or performance study details.

Therefore, I cannot provide the requested information regarding acceptance criteria and performance study for an AI/ML device based on the provided text. The document is strictly about a physical mobility device.

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The Solax Powered Wheelchair 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.

Not Found

This document is a 510(k) clearance letter from the FDA for a powered wheelchair, specifically the Solax Powered Wheelchair (Models: S7101, S7103). It confirms that the device is substantially equivalent to legally marketed predicate devices.

However, the provided text does not contain any information regarding acceptance criteria, device performance studies, sample sizes, ground truth establishment, expert qualifications, or comparative effectiveness studies (MRMC or standalone) for an AI/CAD product.

This document is purely an administrative FDA clearance for a physical medical device (a powered wheelchair), and therefore none of the requested information about AI/CAD validation studies is present.

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The intended use of the Solax Powered Wheelchair is to provide mobility to adults, limited to a seated position that have capability to operate a few simple controls and the ability to control a powered wheelchair.

The Solax Powered Wheelchair (Model S7102) is to provide mobility to adults, limited to a seated position that have capability to operate a few simple controls and the ability to control a powered wheelchair. The Solax Powered Wheelchair (Model S7102) is with 100 kg (220 lbs) weight capacity. It is basic conventional rear wheels drive, rigid frame vehicle that are battery powered. It consists primarily of a foldable welded-aluminum frames, two sealed transaxle motors drive system, electromagnetic braking system, electric motor controller and two Li-ion batteries with an off-board battery charger. It is powered by rechargable batteries with 27.65 km which maximum speed upto 6.2 km/hr. The controller with a joystick attaches to either armrest and allows the rider to control the movement and velocity of the powered wheelchair. When the joystick is released, the electromagnetic brake will be actuated and the power wheelchair is slow to stop.

lt consists of four parts which are chair part, control part, folding part and drive part. Overall it mainly has a basic aluminum alloy frame, two front wheels, two anti-tip wheels, a seat, a footrest, an controller, an electric motor, an electromagnetic brake, a remote for folding the device and a Lithium battery with an off-board charger.

The provided document is a 510(k) summary for the Solax Powered Wheelchair. It focuses on demonstrating substantial equivalence to a predicate device based on performance standards, rather than presenting a study of diagnostic or clinical effectiveness with specific acceptance criteria in the way a medical AI/ML device would.

Therefore, many of the requested categories for AI/ML device studies are not applicable to this document. The document describes engineering and manufacturing specifications and adherence to international standards for wheelchairs.

However, I can extract the relevant information from the document regarding its "performance summary" which serves as the fulfillment of its acceptance criteria in the context of a powered wheelchair.

Here's the closest interpretation of your request based on the provided document:

Acceptance Criteria and Device Performance for Solax Powered Wheelchair (K182576)

The "acceptance criteria" for the Solax Powered Wheelchair are considered met by demonstrating compliance with various parts of the ISO 7176 standard series (Wheelchairs) and IEC standards for medical devices and software. The "study" proving this is the successful completion of these tests as reported by the manufacturer.

1. Table of Acceptance Criteria (Standard Compliance) and Reported Device Performance

Note: For specific parameters like "Maximum speed forward," "Energy consumption," "Minimum braking distance," "Base weight," "Maximum capacity," and "Obstacle Climbing Ability," the document provides specific values for the subject device and states that these comply with the relevant ISO 7176 requirements, even if different from the predicate device. For "Battery" and "Battery Charger," it states they comply with "ISO 7176 Requirement" (general reference).

2. Sample size used for the test set and the data provenance (e.g. country of origin of the data, retrospective or prospective)

• Sample Size for Test Set: Not explicitly stated as a number of devices. "Solax Powered Wheelchair" (singular) is referred to, implying at least one physical device was tested against these standards.
• Data Provenance: The tests were "conducted with Solax Powered Wheelchair," implying these are prospective tests performed on the manufactured device. The manufacturer is "Dongguan Prestige Sporting Goods Co., Ltd." in Guangdong province, China, suggesting the testing was likely conducted in China or by a certified body on behalf of the manufacturer.

3. Number of experts used to establish the ground truth for the test set and the qualifications of those experts

• Not applicable. This isn't an AI/ML clinical study that requires expert adjudication for ground truth. Compliance with engineering standards is typically verified through standardized testing protocols executed by engineers or technicians in certified labs.

4. Adjudication method (e.g. 2+1, 3+1, none) for the test set

• Not applicable. See point 3.

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 document pertains to a powered wheelchair, not an AI/ML diagnostic or assistive device.

6. If a standalone (i.e. algorithm only without human-in-the-loop performance) was done

• Not applicable. See point 5.

7. The type of ground truth used (expert consensus, pathology, outcomes data, etc)

• Not applicable. The "ground truth" equivalent here is the set of established performance criteria defined by the ISO 7176 and IEC standards for powered wheelchairs. The device performance is measured against these objective engineering and safety standards.

8. The sample size for the training set

• Not applicable. There is no "training set" as this is a physical medical device, not an AI/ML algorithm.

9. How the ground truth for the training set was established

• Not applicable. See point 8.

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lt 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.

The Solax Electric Scooter (Models: S302121, S302131, S302141, S302151) is an indoor/outdoor electric scooter that is intended to be used by individuals that are able to walk, but suffer from mobility limitations. It has a base with aluminum alloy frame, two front wheels, two anti-tip wheels, a seat, an adjustable steering column, a control panel, an electric motor, an electromagnetic brake, a remote for folding/unfolding the device and a Lithium battery with an off-board charger. The movement of the scooter is controlled by the rider who operates the direction control lever, speed control switch and handle on the control panel. 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.

This document is a 510(k) premarket notification for a medical device called the "Solax Electric Scooter." It describes the device, its intended use, a comparison to a predicate device, and a summary of performance and safety tests.

Here's the breakdown of the information requested, based on the provided text:

1. A table of acceptance criteria and the reported device performance

The document does not explicitly present a "table of acceptance criteria and reported device performance" in the format typically associated with an AI/ML device study. Instead, it lists various ISO and IEC standards that the device was tested against to demonstrate safety and effectiveness. The "reported device performance" is implicitly that the device met the requirements of these standards.

Here's a table based on the provided information, interpreting the standards as acceptance criteria for the respective performance aspects:

2. Sample sized used for the test set and the data provenance (e.g. country of origin of the data, retrospective or prospective)

The document refers to "performance and safety tests" but does not specify the sample size for these tests. It is implied that tests were performed on the device itself (Solax Electric Scooter models S302121, S302131, S302141, S302151). This is a physical device, not an AI/ML algorithm processing data.

The data provenance is industrial testing of a physical product. The submitter is Dongguan Prestige Sporting Goods Co., Ltd. from China. The types of tests (ISO standards) are generally standardized laboratory or field tests.

3. Number of experts used to establish the ground truth for the test set and the qualifications of those experts (e.g. radiologist with 10 years of experience)

This information is not applicable. The device is a physical electric scooter, not an AI/ML diagnostic or predictive tool that requires expert consensus for ground truth on a test set. The "ground truth" for its performance is determined by adherence to the engineering and safety standards listed.

4. Adjudication method (e.g. 2+1, 3+1, none) for the test set

This information is not applicable. Adjudication methods like '2+1' or '3+1' are typically used in clinical studies involving multiple readers for diagnostic tasks (e.g., radiologists interpreting images) to establish a consensus ground truth. This document describes the testing of a physical medical device against established engineering standards.

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

This information is not applicable. A MRMC comparative effectiveness study is relevant for AI/ML diagnostic or imaging devices where human performance with and without AI assistance is being evaluated. The Solax Electric Scooter is a physical mobility device and does not involve human readers interpreting data.

6. If a standalone (i.e. algorithm only without human-in-the loop performance) was done

This information is not applicable. The Solax Electric Scooter is a physical device, not a standalone algorithm.

7. The type of ground truth used (expert consensus, pathology, outcomes data, etc.)

The "ground truth" for the Solax Electric Scooter's performance is compliance with established international engineering and safety standards (ISO and IEC standards). These standards define performance limits and test methodologies, and the device is evaluated against these predefined criteria rather than a subjective "expert consensus" or biological "pathology" data set.

8. The sample size for the training set

This information is not applicable. The device is a physical product, not an AI/ML model that requires a "training set."

9. How the ground truth for the training set was established

This information is not applicable. As stated above, the device is not an AI/ML model requiring a training set with established ground truth.

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The device 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.

The ZIPPY scooter consists of a retractable platform which connects the two front wheels and two rear wheels, an adjustable tiller, a lead acid battery with an off-board charger, a motor/electromagnetic brake assembly, a electric motor controller and a seat /backrest set. It can be retracted for transport in a car trunk.

The patient uses the tiller handle/handlebar for steering and a thumb operated potentiometer throttle control lever located at the top of the tiller to engage and disengage the scooter motion in both the forward and reverse directions. When the throttle control lever is released, the electromagnetic brake will be actuated and the scooter is slow to stop.

This is a submission for a motorized scooter, not an AI/ML powered medical device. As such, the requested information regarding AI/ML-specific study design, such as acceptance criteria based on performance metrics (e.g., sensitivity, specificity), ground truth establishment, expert adjudication, MRMC studies, and training/test set details, is not applicable and therefore not present in the provided text.

The document primarily focuses on demonstrating substantial equivalence to a predicate device through non-clinical testing against relevant standards.

Here's a breakdown of the available information based on your request, highlighting where the requested details are not applicable:

1. Table of acceptance criteria and the reported device performance

2. Sample size used for the test set and the data provenance

• Not Applicable: This is a physical device (scooter), not an AI/ML algorithm that processes data. The "test set" would refer to the specific unit(s) of the scooter tested to ensure compliance with standards, and the provenance would be the manufacturing site (Dongguan Prestige Sporting Goods Co., Ltd. in China). The document does not specify the number of units tested.

3. Number of experts used to establish the ground truth for the test set and the qualifications of those experts

• Not Applicable: For a physical device like a scooter, "ground truth" in the context of expert review for AI/ML performance is not relevant. Compliance with standards is typically assessed through engineering tests and measurements, often performed by certified testing laboratories.

4. Adjudication method for the test set

• Not Applicable: As above, adjudication methods like 2+1 or 3+1 are used for expert consensus on data labeling, which is not relevant for testing a physical mobility device.

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 motorized scooter, not an AI system designed to assist human readers. MRMC studies are not relevant.

6. If a standalone (i.e. algorithm only without human-in-the-loop performance) was done

• Not Applicable: This is a physical device, not an algorithm.

7. The type of ground truth used

• Engineering/Performance Standards: The "ground truth" for this device is its adherence and demonstrable compliance with established international and national engineering standards (e.g., ANSI/RESNA WC. Vol. I Sec. 7, Sec 8 and sec. 21, CISPR 11, IEC 60335-2-29, IEC 60601-1, IEC 61000-4-2, etc.). This involves objective measurements and tests to ensure safety, functionality, and durability.

8. The sample size for the training set

• Not Applicable: This is a manufactured physical product. There is no "training set" in the context of machine learning.

9. How the ground truth for the training set was established

• Not Applicable: As above, no training set for this type of device.

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