This isInno-X™

Innowearable proudly present Inno-X™ – the first neuromuscular-readiness measuring device for athletes. 


Poor balance between training and recovery can lead to prolonged fatigue and abnormal training responses and an increased risk of injury. Most athletes are looking to maximize the positive effects and minimize the negative effects of training. Monitoring an athlete’s response to training is a critical step to see whether an athlete is physically and mentally ready for another session.

Inno-X is a sophisticated solution that uses simple exercises to measure muscles and the nerves that control them. The sensor is connected to a cloud service that connects to an App to give quick feedback on neuromuscular readiness. Soon other services will also be available with the sensor. Among other things, you will be able to central fatigue, peripheral fatigue, and AI to give personalized recommendations.

Infographic about InnoX

• You perform a simple exercise, such as an isometric (stationary) squat for around 5 seconds.
• The Inno-X™ sensor collects electrical signals from your muscles and nerves and sends them to your phone.
• The software in your phone then analysis these signals and the Inno-X™ app provides you with a readiness score.
• The App will then advise you to rest, reduce your training load, continue as planned. All of this takes place within 10 seconds after the simple exercise had been done.

Readiness signature

Inno-X uses advanced signal processing algorithms proven to detect changes in muscle activation patterns. These algorithms can detect a change in activation patterns prior to a change in movement pattern due to fatigue. Using simple and straight forward exercises,  Inno-X™ learns the athlete’s unique activation signature and provide instant feedback on the level of readiness.

The Inno-X™ sensor provides a high-level service to the end user and a major advantage is that the user does not need to have a device on the body whilst exercising.

Three ways athletes' can use Inno-X™:

Athlete X plans their hardest training sessions when their readiness score is high.

Athlete Y reduces the intensity of a training session when their readiness score is low.

Athelte Z analyses the impact of different recovery strategies such as increased sleep duration or improved nutritional strategies on their readiness levels.