Multimodal remote diagnosis and monitoring of Parkinson´s disease and essential tremor

Purpose and goal:

This project aims at developing new ways for diagnosis and remote monitoring of patients suffering from Parkinson’s disease and/or essential tremor. These two relatively common neurological diseases affect millions of people worldwide. We also aim at developing methods for optimization of deep-brain stimulation (DBS) treatment by improved procedures for the adjustment of stimulation settings adapted to each patient’s personal needs.

Expected results and effects:

We expect that assessing a wider range of symptoms will allow for improved differential diagnosis and remote monitoring of treatment efficacy as well as disease progression, in the patients’ home environment. With this project, we seek 1) to give the caregivers tools to better diagnose and remotely monitor patients in order to adjust treatments, and 2) to achieve improved treatment effects on an individual level and less in-clinic time for patients being treated with DBS devices.

Approach and implementation:

In the project, we will acquire data on tremor, gait and voice patterns in Parkinson and essential tremor patients. Based on the collected data, algorithms will be developed aimed at identifying features that can be used to adapt and improve treatment.