Home-Based Monitoring in Parkinson's Disease

Summary

The goal of this observational study is to learn about the usefulness of automated analysis of speech, physical activity measures tracked using wearable devices at home, and tremor detection measured using computer-vision analysis of smartphone video to detect impairments related to Parkinson's disease and improve prediction of one-year progression. Participants will attend a short research visit at the University of Iowa. During this visit, they will make a video recording using a smartphone of them performing a fine motor task and audio recordings of pre-written text. They will be provided with an activity tracker and asked to wear it at home for four weeks. After four weeks, a video visit will be conducted and the speech and video tasks will be repeated.

Eligibility

Group 1: People newly referred with possible Parkinson's disease

Inclusion Criteria

1\. Newly referred to UIHC Movement Disorders Clinic

Exclusion Criteria

1. Prior diagnosis of Parkinson's disease
2. Confined to wheelchair or bed
3. Non-English speaking
4. Prisoner status
5. Inability to provide own informed consent
6. Phone unable to support the Fitbit app

Group 2: People with a recent diagnosis of Parkinson's disease

Inclusion Criteria

1. Patient of UIHC Movement Disorders Clinic
2. Diagnosed with Parkinson's disease

Exclusion Criteria

1. First diagnosed \> 6 months ago
2. Confined to wheelchair or bed
3. Non-English speaking
4. Prisoner status
5. Inability to provide own informed consent
6. Phone unable to support the Fitbit app

Conditions2

Locations1 site

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