Objective Quality of Life Detection Validation

Kinesia 360 scoring of Parkinson's Disease motor symptoms (tremor, slowness, dyskinesia, gait): The Kinesia 360 system translates recorded motion into 0-4 scores that correlate to rating scales used by clinicians (lower scores are signifiers of better outcomes and higher scores signify worse outcomes). A separate 0-4 score is generated for tremor, slowness, and dyskinesia, and gait is tracked for step count and percent of day walking.

Using the AWARE Framework, the microphone in the smartphone will be used to measure ambient noise and detect conversation during wear. The output will be detection of conversation and ambient noise level for each recorded timepoint. The time involved in conversation and around active ambient noise will be compared to the symptom scores to measure user involvement in active environments as an impact on Parkinson's disease symptoms.

Using the AWARE Framework, accelerometers in the smartphone will be used to determine the activity of the user. The accelerometers will detect if the phone is being carried (using orientation of gravity) and predict most likely physical activity (using pre-existing activity recognition algorithms). The output will be predicted user activity for each timepoint recorded which will be correlated to Kinesia symptom scores.

Using the AWARE Framework, Global Positioning System (GPS) tracking in the smartphone will be used to determine the locations and activity of the user. The GPS sensor will be used to track changes in location and determine when an user is at home (primary location), in a secondary location, or in active motion (car, bike, or walking). The outcome will be time spent in each location, percent of day at each location, and time and speed travelling between locations. These outcomes will be correlated to the Kinesia symptom scores and detected physical activity.