mGain 12+

Gain Muscle Strength

Orthocare Innovations, LLC

Designed for iPad

    • Free

Screenshots

Description

To play the mGain Exercise Games, the mGain mobile application (App) requires pairing with the mGain game controller. The mGain System provides visibility of muscle strength, even for very weak muscles that might not have movement visible to the naked eye, through biofeedback with a surface electromyography (mGain) sensor. Suitable for play at home, mGain includes muscle strength training and responsiveness exercises. Training includes the ability to change game settings for increased difficulty. As players master the exercise games, more advanced game levels are unlocked. The variety of training games allow exercise for as short as a few seconds at a time up to 30+ minutes of game play. Game history and statistics are saved for ease of tracking your muscle strength, and score reports can be exported from the App.

The mGain device is placed on one muscle at a time. Multiple profiles can be created in the App to keep separate game settings and score history for different muscles being trained.

This product is for educational and exercise purposes and does not diagnose, mitigate, treat, or cure any medical condition. Please consult your healthcare provider before using this product.

© 2020-2022 University of Washington.
Redistribution and use for noncommercial purposes in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
1. The software is used solely for noncommercial purposes. It may not be used indirectly for commercial use, such as on a website that accepts advertising money for content. Noncommercial use does include use by a for-profit company in its research. For commercial use rights, contact University of Washington, CoMotion, at license@uw.edu or call 206-543-3970 and inquire about the Gamified Rehabilitation Therapy project.
2. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
3. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
4. Neither the name of the University of Washington nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.

THIS SOFTWARE IS PROVIDED BY THE UNIVERSITY OF WASHINGTON AND CONTRIBUTORS “AS IS” AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE UNIVERSITY OF WASHINGTON OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

Development of portions of this application were further supported by the App Factory to Support Health and Function of People with Disabilities funded by a grant from the National Institute on Disability, Independent Living and Rehabilitation Research (NIDILRR) in the U.S. Department of Health and Human Services to the Shepherd Center (Grant # 90DPHF0004).

What’s New

Version 1.3.0

- Improved calibration
- Added eDiary Feature
- Fixed minor bugs

App Privacy

The developer, Orthocare Innovations, LLC, indicated that the app’s privacy practices may include handling of data as described below. For more information, see the developer’s privacy policy.

Data Linked to You

The following data may be collected and linked to your identity:

  • User Content

Data Not Linked to You

The following data may be collected but it is not linked to your identity:

  • Location
  • Usage Data
  • Diagnostics

Privacy practices may vary based on, for example, the features you use or your age. Learn More

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