Development of Video-Based Examination Alternatives for Electrophysiologic Measurements
Trial Snapshot
- Phase
- 未知
- Status
- Completed
- Sponsor
- Enrollment
- 48
Study Overview
Brief Summary
Tremor is one of the common symptoms of Parkinson’s disease (PD). Thanks to the recent evolution of digital technologies, monitoring of PD patients’ hand movements employing contactless methods gained momentum. Objective: We aimed to quantitatively assess hand movements in patients suffering from PD using the artificial intelligence (AI)-based hand-tracking technologies of MediaPipe. Method: High-frame-rate videos and accelerometer data were recorded from 11 PD patients, two of whom showed classical Parkinsonian-type tremor. In the OFF-state and 30 Minutes after taking their standard oral medication (ON-state), video recordings were obtained. First, we investigated the frequency and amplitude relationship between the video and accelerometer data. Then, we focused on quantifying the effect of taking standard oral treatments. Results: The data extracted from the video correlated well with the accelerometer-based measurement system. Our video-based approach identified the tremor frequency with a small error rate (mean absolute error 0.229 (±0.174) Hz) and an amplitude with a high correlation. The frequency and amplitude of the hand movement before and after medication in PD patients undergoing medication differ. PD Patients experienced a decrease in the mean value for frequency from 2.012 (±1.385) Hz to 1.526 (±1.007) Hz and in the mean value for amplitude from 8.167 (±15.687) a.u. to 4.033 (±5.671) a.u. Conclusions: Our work achieved an automatic estimation of the movement frequency, including the tremor frequency with a low error rate, and to the best of our knowledge, this is the first paper that presents automated tremor analysis before/after medication in PD, in particular using high-frame-rate video data.
Study Design
- Study Type
- Interventional
- Allocation
- Non-randomized controlled study
- Masking
- Open (masking not used)
Eligibility Criteria
- Ages
- 18 Years to 85 Years (—)
- Sex
- All
Inclusion Criteria
- •Healthy Person between 18 and 85 years of age, who are willing to participate in the study
- •Patients who suffer from Parkinson´s Disease or other tremor types between 18 and 85 years of age.
Exclusion Criteria
- •Exclusion criteria for healthy person is withdrawal of consent, age below 18 years and pregnancy. Persons with neurologic disease in the pyramidal and extrapyramidal system and persons not able to give informed consent are excluded from the study. People who live with persons with a high risk of COVID-19 are excluded.
- •Exclusion criteria for patients is withdrawal of consent, age below 18 years and pregnancy. Patients with neurologic disease in the pyramidal and extrapyramidal system and patients not able to give informed consent are excluded from the study. Patients with a high risk for COVID-19 who live with persons with a high risk of COVID-19 are excluded.