Our secure Android application uses the sensors embedded in a smartphone along with simple questionnaires to track Balance, Functional Strength and Falls risk
Our products engage, empower and motivate older adults to prevent falls and are backed by fourteen years of research.
Kinesis Balance can be used for self-assessment of Balance and the Five Times Sit to Stand (FTSS) in the home environment using smartphone or wearable sensors.
Statistical prediction of falls using validated machine learning models and percentile based assessment of balance and functional impairment.
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.
Kinesis Balance™ is a registered Class I medical device in the EU, UK and USA, carrying the CE and UKCA marks.
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
64 quantitative balance and FTSS parameters available for export and analysis.
Over 14 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, functional 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,
it also meets the Essential Requirements (ER) of the UK MDR 2002 and carries the UKCA mark.
