A computer vision framework for finger-tapping evaluation in Parkinson's disease

Khan, Taha; Nyholm, Dag; Westin, Jerker; Dougherty, Mark

doi:10.1016/j.artmed.2013.11.004

Cited by 58 publications

(55 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…At the sound of the starting pistol, the instrument starts timing automatically and the subject swings his finger rapidly at the same time. In finger-tapping tests, subjects are asked to tap their fingers consistently in a rapid succession (Khan et al, 2014 ). When the setting time is over, the data are recorded into the computer.…”

Section: Methodsmentioning

confidence: 99%

A Study of Tapping by the Unaffected Finger of Patients Presenting with Central and Peripheral Nerve Damage

Zhang

Han

et al. 2015

Front. Hum. Neurosci.

View full text Add to dashboard Cite

AimWhether the unaffected function of the hand of patients presenting with nerve injury is affected remains inconclusive. We aimed to evaluate whether there are differences in finger tapping following central or peripheral nerve injury compared with the unaffected hand and the ipsilateral hand of a healthy subject.MethodsThirty right brain stroke patients with hemiplegia, 30 left arm peripheral nerve injury cases, and 60 healthy people were selected. We tested finger tapping of the right hands, and each subject performed the test twice.ResultsFinger tapping following peripheral nerve injury as compared with the unaffected hand and the dominant hand of a healthy person was markedly higher than was found for central nerve injury (P < 0.05). Finger tapping of the male peripheral group’s unaffected hand and the control group’s dominant hand was significantly higher than the central group (P < 0.001). However, finger tapping of the female control group’s dominant hand was significantly higher than the central group’s unaffected hand (P < 0.01, P = 0.002), the peripheral group’s unaffected hand (P < 0.05, P = 0.034).ConclusionThe unaffected function of the hand of patients with central and peripheral nerve injury was different as compared with the ipsilateral hand of healthy individuals. The rehabilitation therapist should intensify the practice of normal upper limb fine activities and coordination of the patient.

show abstract

Section: Methodsmentioning

confidence: 99%

A Study of Tapping by the Unaffected Finger of Patients Presenting with Central and Peripheral Nerve Damage

Zhang

Han

et al. 2015

Front. Hum. Neurosci.

View full text Add to dashboard Cite

show abstract

“…To our knowledge, only one previous study has used computer analysis of simple video to detect bradykinesia on finger tapping [9]. This method tracked index finger motion and estimated distance by using face height to quantify hand length (by universal face:hand size ratios, the 'proportions of man').…”

Section: Existing Workmentioning

confidence: 99%

“…However, all prior methods either require sensors that may not be readily available, or they require the patient to interact with a specific computer program or smartphone app. To our knowledge, there is only one previous report that involves standard video to objectively measure bradykinesia, but the participants all had advanced Parkinson's disease, and the method required the face to be included in the video [9]. Here we propose a solution that uses the ubiquitous smartphone video camera to capture the relevant data during standard clinical assessment.…”

Section: Introductionmentioning

confidence: 99%

Supervised Classification of Bradykinesia for Parkinson's Disease Diagnosis from Smartphone Videos

Wong

Relton

Fang

et al. 2019

2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS)

View full text Add to dashboard Cite

Slowness of movement, known as bradykinesia, in an important early symptom of Parkinson's disease. This symptom is currently assessed subjectively by clinical experts. However, expert assessment has been shown to be subject to inter-rater variability. We propose a low-cost, contactless system using smartphone videos to automatically determine the presence of bradykinesia. Using 70 videos recorded in a pilot study, we predict the presence of bradykinesia with an estimated test accuracy of 0.79 and the presence of Parkinson's disease diagnosis with estimated test accuracy 0.63. Even on a small set of pilot data this accuracy is comparable to that recorded by blinded human experts.

show abstract

“…A 10-fold cross validation in KNN classified 221 videos between 3 symptom levels with 75% accuracy. An area under the ROC curves of 82.6% supports feasibility of the obtained features to replicate clinical assessments [471]. [472].…”

Section: Project Descriptionmentioning

confidence: 99%

“…The second category focuses on providing computerised tests that can be used as diagnosis aids. For example, Allen et al, (2007) [396], [533] proposed the use of a force feedback joystick and a steering wheel to perform a pursuit tracking and a step-tracking test on the screen, several methods have been proposed to digitalize and automatize some of the tests frequently used such as the finger tapping test [471], [534].…”

Section: Bradykinesia and Akinesia Assessmentmentioning

confidence: 99%

A holistic approach to assess the feasability of telehealth for Parkinson's disease management

González¹

View full text Add to dashboard Cite

A computer vision framework for finger-tapping evaluation in Parkinson's disease

Cited by 58 publications

References 33 publications

A Study of Tapping by the Unaffected Finger of Patients Presenting with Central and Peripheral Nerve Damage

A Study of Tapping by the Unaffected Finger of Patients Presenting with Central and Peripheral Nerve Damage

Supervised Classification of Bradykinesia for Parkinson's Disease Diagnosis from Smartphone Videos

A holistic approach to assess the feasability of telehealth for Parkinson's disease management

Contact Info

Product

Resources

About