Our secure Android application uses the sensors embedded in a smartphone along with simple questionnaires to track balance and falls risk over time using our advanced machine learning algorithms.
Our products engage, empower and motivate older adults to prevent falls and are backed by thirteen years of research.
Kinesis Balance can be used for self-assessment of balance impairment and falls risk in the home environment using smartphone or wearable sensors.
Statistical prediction of falls using validation machine learning models and percentile based assessment of balance impairment. Calculation of 19 quantitative measures of balance.
A simple questionnaire coupled with a data-driven machine learning algorithm tracks the most common clinical falls risk factors to improve fall risk assessment and promote self-manage of risk.
Expert advice and exercises to help prevent falls. Designed for older adults, patients and their carers to help maintain healthy balance and prevent falls.
The Kinesis Balance algorithms are validated and suitable for use as digital endpoints for clinical trials.
Kinesis Balance is GDPR and HIPAA compliant with no Personally Identifiable Information (PII) stored.
Data are securely backed up to our cloud, with both raw and calculated data for 19 quantitative balance parameters available for export and analysis.
Over 13 years of dedicated
scientific research has gone
into developing Kinesis products
Smartphone assessment of balance and falls
risk using a simple balance test in less
than 2 minutes
Validated machine-learning
algorithm to accurately assess
balance impairment and falls risk using a smartphone
Product is GDPR compliant and is a registered Class I medical device in the EU
(under MDR 2017/745) and carries the CE mark.
Kinesis Balance™ is HIPAA compliant and registered with the FDA as a Class I (exempt) medical device in the USA,
