The Paragit Sleeve is a non-invasive and non-stigmatizing smart wearable textile that assists neurologists to give a precise and objective assessment of Parkinson’s motor symptoms utilizing artifact-robust and long-term measurements of high-resolution surface electromyography and kinematic movements, in a shape of a breathable wearable sleeve designed with comfort in mind. Our goal is to increase the quality of life for Parkinson’s patients by digitalizing the current method of diagnosis and providing personalized medicine through adaptive software feedback.
✓Accurate assessment
✓Faster diagnosis
✓Better care
The Paragit Explorer is our latest computer software, where the underlying algorithms are built on the latest research within a convolutional neural network that calculates symptoms scores in correlation with the current subjective golden standard. The gathered data can be stored directly on the device or managed on a secure cloud, ensuring 100% privacy and enabling up-to-date and accurate treatment for the user.
The Paragit Sleeve is given to the patient by the doctor. The doctor provides instructions about the Paragit Sleeve to the patient
The patients can be wherever they feel most comfortable, the gathered data will thus reflect the daily life of the patient
The sensors in the Paragit Sleeve gather and analyzes data as the patient performs daily routines-even at night when the patient is sleeping
As the patient takes medicine, Paragit Sleeve is able to detect any changes of the motor symptoms for the patient and thus providing information about the efficacy of the medicine for each cardinal symptom
The previous procedure helps the doctor to better understand the patient’s condition. The doctor is then able to update timing intervals and medicine dosage prescribed for the patient, ultimately reducing the motor symptoms
Optimize clinical trials
The Paragit Sleeve and the Paragit Explorer can assist in optimizing clinical trials within motor-related symptoms by evaluating the efficacy of drug compounds and placebo trials.
Clinical disease management
The neurologist can remotely follow the patients different motor symptoms and their severities, providing insight in response to current treatment
Companion early diagnostics
Measuring neuromuscular signals in deep sleep in combination with kinetic movements and utilizing a convolutional neural network for data gathering the solution can act as a companion early diagnostics device for the neurologist.