KELVIN

Motor assessment made simple and scalable through video

Machine Medicine has developed an AI platform for the objective measurement of disability from simple video clips.

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Video Based Motor Assessment

Scalable

KELVIN requires only simple video clips, that can be captured through commoditised devices such as smartphones and tablets.

Objective

KELVIN provides a research tool that replaces the highly subjective “eye-witness” accounts, with an objective measurement of disease severity

Reliable

All data management is taken care of within KELVIN, so there is no need to manually label/transfer data, eliminating human error & data loss

Video Data Acquisition

The KELVIN platform enables clinicians to seamlessly record video and other data while assessing patients. This information can then be accessed easily through a secure login system. In this video, you can see the patient being recorded by the clinician using the KELVIN platform.

Computer Vision Based Analysis

The KELVIN platform includes a research tool that makes use of cutting-edge computer vision technique, called pose estimation, to objectively track the movement of the patients down to the fingertip level. Objective metrics of core symptoms are being delivered, such as tremor and bradykinesia, through an intuitive layout. This tool is not intended for clinical use.

Convenient

You can use KELVIN CLINIC from any mobile device that has a camera and can access the internet. Any videos you capture will automatically be uploaded and backed up.

Easy Access

You can access your data through our website or download it in universal file formats. Videos are available as MP4 files, all other data including our analytical results are available as CSV or JSON files.

Affordable

KELVIN is free for non-commercial research. If you are an enterprise interested in using the platform, please get in touch for a quote!

Objective Measurement

KELVIN-CLOUD is supplemented with a research tool, providing researchers with new levels of precision, reliability, and objectivity for the measurement of disease severity.