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Product
Human-machine interaction
Our robot guides through the program, takes care of safety, compliance and better outcomes.
Personalized program at scale
Our smart intervention system conducts on going patient’s assessment and monitoring and lays out a tailor-made therapy program.
Extremely intuitive but not easy
It’s time to get up. Improve your daily living activities, self – efficacy and general health.
We’re with you along this road.
Connected health
Our IoT solution makes health more connected. Therapist, patient and family could be all together on the same page.
Science
Engaged with the most common conditions
Brain and Heart are the real chiefs of the human-body. We’ve restructured therapy to empower people with chronic conditions, when usually these two are involved.
Science that matters
Selfit was built on the principles of Neural Plasticity and Motor Learning theories. Translating these principles into clinical practice promotes biological changes in the brain’s motor structures, enhances recovery and can delay onset of common disorders.
Data
As featured in:
Data in motion
Data is gold. You can’t have enough but only need that much. Our patented technology applies machine learning algorithms to predict and optimize health outcomes for multiple conditions.
Contact
Get in touch
Just ping us and we’ll keep on the conversation:
1 - Carolee J. Winstein, Dorsa Beroukhim Kay (2015) Translating the science into practice: shaping rehabilitation practice to enhance recovery after brain damage.
2 - Emma Maureen Gibbons, Alecia Nicole Thomson, Marcos de Noronha & Samer Joseph (2016) Are virtual reality technologies effective in improving lower limb outcomes for patients following stroke – a systematic review with meta-analysis, Topics in Stroke Rehabilitation.
3- Study finds hub linking movement and motivation in the brain, MIT
4- Centers for Disease Control and Prevention, Cholesterol
5 - Centers for Disease Control and Prevention, Heart Disease
6- Centers for Disease Control and Prevention, Stroke
7- Tyson, S. and Connell, L. "The psychometric properties and clinical utility of measures of walking and mobility in neurological conditions: a systematic review." Clin Rehabil 2009 23(11): 1018-1033
8- The Complexity of Standing Postural Sway Associates with Future Falls in Community-Dwelling Older Adults
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