What We Know:
As Parkinson’s disease progresses, patients can develop motor fluctuations in which they alternate between periods of ON time, when Parkinson’s medications are improving symptoms of slowness, tremor and stiffness, and periods of OFF time, when the Parkinson’s symptoms return. Dyskinesias, or excessive movements, can also occur.
Our Plan to Help:
The goals of this study are to collect data using wearable devices and smart phone applications, to correlate the data with measurements that are used during clinic visits (UPDRS III motor exam) and to use algorithms to identify changes in a patient’s state (ON, OFF, Dyskinetic) based on the device data.
The Potential Impact of this Research:
The symptoms of Parkinson’s disease vary from person to person, and for an individual, symptoms can change over the course of a day. Often it is difficult for physicians to get a full picture of a patient’s symptoms in a short office visit. By using wearable devices and smartphone applications, we are able to monitor a patient’s symptoms throughout the day. This can help track the effectiveness of medications and identify time periods of worsening symptoms where medication changes may be beneficial. In addition, these devices can provide patients with feedback and help improve their overall understanding of their disease.