Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Age-related decline in IgM responses associate with reduced opsonophagocytic activity following PCV13 vaccination.

NPJ vaccines·2025
Same author

DISPEL: A Python Framework for Developing Measures From Digital Health Technologies.

IEEE open journal of engineering in medicine and biology·2024
Same author

SAS CARE 2 - a randomized study of CPAP in patients with obstructive sleep disordered breathing following ischemic stroke or transient ischemic attack.

Sleep medicine: X·2021
Same author

Pre-Flight Calibration of the Mars 2020 Rover Mastcam Zoom (Mastcam-Z) Multispectral, Stereoscopic Imager.

Space science reviews·2021
Same author

Deposits from giant floods in Gale crater and their implications for the climate of early Mars.

Scientific reports·2020
Same author

Infectious disease outbreaks in the African region: overview of events reported to the World Health Organization in 2018 - ERRATUM.

Epidemiology and infection·2019
Same journal

Dissecting the integrated information of cardiovascular and cardiorespiratory systems at rest and during physiological stress.

Physiological measurement·2026
Same journal

Respiratory event type and duration modulate PPG waveforms in OSA.

Physiological measurement·2026
Same journal

Estimating changes in systolic blood pressure based on pulse wave morphology using paired segment comparison.

Physiological measurement·2026
Same journal

Small changes in hand height alter absorbance, but not pulsation, in the finger pulse plethysmograph.

Physiological measurement·2026
Same journal

A Comprehensive Inference-Time Augmentation Framework in Physiological Signals: Application to PPG-Based AF Detection.

Physiological measurement·2026
Same journal

Quantification of pendelluft in electrical impedance tomography data: opening Pandora's box? A literature review of analytical methods.

Physiological measurement·2026
See all related articles

Related Experiment Video

Updated: Dec 24, 2025

Mobile Game-based Virtual Reality Program for Upper Extremity Stroke Rehabilitation
05:52

Mobile Game-based Virtual Reality Program for Upper Extremity Stroke Rehabilitation

Published on: March 8, 2018

19.5K

Smartphone-based remote assessment of upper extremity function for multiple sclerosis using the Draw a Shape Test.

A P Creagh1, C Simillion, A Scotland

  • 1Institute of Biomedical Engineering, University of Oxford, Oxford United Kingdom. F. Hoffmann-La Roche Ltd Basel, Switzerland.

Physiological Measurement
|April 8, 2020
PubMed
Summary
This summary is machine-generated.

The smartphone-based Draw a Shape (DaS) Test can accurately predict upper extremity function in people with multiple sclerosis (PwMS), offering a reliable method for remote monitoring and assessment outside of clinical settings.

More Related Videos

The Multiple Sclerosis Performance Test MSPT: An iPad-Based Disability Assessment Tool
11:35

The Multiple Sclerosis Performance Test MSPT: An iPad-Based Disability Assessment Tool

Published on: June 30, 2014

58.6K
An Objective and Child-friendly Assessment of Arm Function by Using a 3-D Sensor
07:25

An Objective and Child-friendly Assessment of Arm Function by Using a 3-D Sensor

Published on: February 12, 2018

7.2K

Related Experiment Videos

Last Updated: Dec 24, 2025

Mobile Game-based Virtual Reality Program for Upper Extremity Stroke Rehabilitation
05:52

Mobile Game-based Virtual Reality Program for Upper Extremity Stroke Rehabilitation

Published on: March 8, 2018

19.5K
The Multiple Sclerosis Performance Test MSPT: An iPad-Based Disability Assessment Tool
11:35

The Multiple Sclerosis Performance Test MSPT: An iPad-Based Disability Assessment Tool

Published on: June 30, 2014

58.6K
An Objective and Child-friendly Assessment of Arm Function by Using a 3-D Sensor
07:25

An Objective and Child-friendly Assessment of Arm Function by Using a 3-D Sensor

Published on: February 12, 2018

7.2K

Area of Science:

  • Neurology
  • Biomedical Engineering
  • Rehabilitation Science

Background:

  • Chronic neurological diseases, such as multiple sclerosis, often require regular assessment of upper extremity (UE) function.
  • Traditional clinical assessments can be time-consuming and may not capture real-world functional changes.
  • Smartphone technology offers a potential platform for accessible, out-of-clinic patient monitoring.

Purpose of the Study:

  • To introduce and validate the Draw a Shape (DaS) Test, a smartphone-based tool for assessing UE function in people with multiple sclerosis (PwMS).
  • To identify key DaS features that characterize UE function and impairment.
  • To demonstrate the ability of multivariate modeling of DaS features to predict the 9-Hole Peg Test (9HPT) scores in PwMS.

Main Methods:

  • The DaS Test was administered to 93 participants (71 PwMS, 22 healthy controls), instructing them to trace predefined shapes on a smartphone screen.
  • DaS data from dominant and non-dominant hands were collected and analyzed.
  • Machine learning regression models (L1-regularization with OLS, IRLS, SVR, RFR) were employed to map DaS features to 9HPT outcomes.

Main Results:

  • DaS features accurately predicted non-dominant handed 9HPT times (r² = 0.41) and dominant handed 9HPT times (r² = 0.39) using simple linear IRLS.
  • The mean absolute error (MAE) of predicted 9HPTs was comparable to the within-group variability of actual 9HPT measurements.
  • Prediction stability for longer 9HPT times was limited due to heteroscedasticity in the 9HPT data.

Conclusions:

  • The smartphone-based DaS Test shows significant potential for reliably predicting clinical UE function assessments (9HPT) in PwMS.
  • This technology enables remote monitoring of UE function, facilitating more frequent and accessible assessments for PwMS.
  • Further refinement of predictive models may improve accuracy, particularly for individuals with more severe UE impairment.