Obiettivo
Annually 8.45 million of European citizens (~13% EU population) require some form of rehabilitation, and the number is expected to increase due to the aging, the proliferation of diseases and accidents.
Current rehabilitation devices fail to guarantee an effective therapy because of the lack of tailored training according to the patient needs, a therapist is required for each patient leading to long waiting lists, low self-training compliance, and the lack of precise data about patient’s evolution.
At Robofit ApS (2013, Denmark) we have been working on the new therapy generation: Enjoint. It is a novel intelligent exercise machine for neuro-muscular therapy, that using Big Data and Cloud Connection, provides precise data about patient progress while adjusting the rehabilitation training according to the patient injury and progress. Furthermore, it increases the compliance of the rehabilitation program though self-motivation of the patients thanks its constant feedback.
Enjoint current prototype is a fully functional device (hardware, software running on iOS, and cloud connection) optimized for neuro-muscular rehabilitation of shoulder joint and surrounding muscles. It has proved to reduce €132/patient per session, save €25,781/patient by reducing sickness period benefit, and to improve an 87.5% patient’s compliance to the rehabilitation.
We expect to internationalise our customer base entering by 2021 onwards across Norway, Sweden, Finland, Germany, the UK and France. Expected gross profits after 3 years of commercial exploitation are estimated at €8.35 Million, serving more than 1,100 clinics across Europe. Successful implementation of this expansion project will result in growth of our company by up to 10 employees.
Campo scientifico (EuroSciVoc)
CORDIS classifica i progetti con EuroSciVoc, una tassonomia multilingue dei campi scientifici, attraverso un processo semi-automatico basato su tecniche NLP.
CORDIS classifica i progetti con EuroSciVoc, una tassonomia multilingue dei campi scientifici, attraverso un processo semi-automatico basato su tecniche NLP.
- scienze naturaliinformatica e scienze dell'informazionesoftware
- scienze mediche e della salutemedicina clinicafisioterapia
- scienze naturaliinformatica e scienze dell'informazionescienza dei datimegadati
- scienze socialiscienze politichesistemi di governo
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Programma(i)
Argomento(i)
Invito a presentare proposte
Vedi altri progetti per questo bandoBando secondario
H2020-SMEInst-2018-2020-1
Meccanismo di finanziamento
SME-1 - SME instrument phase 1Coordinatore
6070 CHRISTIANSFELD
Danimarca
L’organizzazione si è definita una PMI (piccola e media impresa) al momento della firma dell’accordo di sovvenzione.