Early Moves: General Movement Assessment (GMA)

Capture infant movements remotely with our GMA solution. Support diagnosis with AI movement analysis. Open up new avenues for early identification, evaluation, and treatment of neurodevelopmental conditions.

Record videos for clinical use and research at home

Our video services are made specifically for clinical research in the NICU and PICU. Videos can be processed into data that maintains patient confidentiality while also providing essential evidence for diagnosis and research of diseases. 

Analyse with existing or new algorithms and AI

Artificial intelligence and algorithms conduct an automated analysis of infants’ motions to detect pathological patterns. Provide swift diagnosis and treatment of neurodevelopmental disorders and epilepsy to your patients. 

Integrates seamlessly with your workflow

Designed with clinicians and researchers in mind, our system is designed to fit effortlessly into your workday.

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Features

FAQ

AI: Movement analysis is an artificial intelligence software that can be used to distinguish and analyse abnormal infant movements. Multiple AI and algorithms exist in different stages of maturity.

Movement analysis is useful for detecting neurodevelopmental abnormalities like cerebral palsy early on. The absence of normal, dance-like movements of an infant is an indicator of a later risk of cerebral palsy. Early detection and intervention allow parents and the healthcare team to maximize the child’s period of neuroplasticity, which is linked to improved motor and cognitive outcomes in children.

The AI analysis provides an automated and objective method of motion analysis, which can be used to supplement the visual assessment of physicians. This can allow large-scale implementation of diagnosis or exclusion of movement disorders. 

Recorded videos can be transformed into a quantified analysis of infant movements, producing a “stick figure” model. This stick figure extraction allows the infant’s movements to be analysed without the use of their face.