Acquisition of sensor data using smart wearables in patients with Parkinson's disease to create a machine-learning algorithm to detect disease-relevant movement patterns

Acquisition of sensor data using smart wearables in patients with Parkinson's disease to create a machine-learning algorithm to detect disease-relevant movement patterns - PATTERN

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

DRKS

Registry ID

DRKS00030218

Enrollment

Registered

2022-09-12

Start date

2023-01-26

Completion date

Unknown

Last updated

2025-12-08

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

G20

Interventions

Group 1: Wearing the smartwatch throughout the inpatient stay

Eligibility

Sex/Gender

All

Age

18 Years to No maximum

Inclusion criteria

Inclusion criteria: not applicable

Exclusion criteria

Exclusion criteria: none

Design outcomes

Primary

Measure	Time frame
Correlation of motion data from smart wearables with standardized clinical examinations	—

Secondary

Measure	Time frame
Development of a machine learning algorithm to determine symptom severity	—

Countries

Germany

Contacts

Public ContactChristopher Gundler

Universitätsklinikum Hamburg-Eppendorf

c.gundler@uke.de+49 (0)40 7410-54982

Outcome results

None listed

Source: DRKS (via WHO ICTRP) · Data processed: Feb 4, 2026