We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us

Download Mobile App




Smartphone App Helps Quantify Parkinson’s Disease

By HospiMedica International staff writers
Posted on 25 Apr 2018
A mobile health application uses machine learning and sensors to enable patients with Parkinson’s disease (PD) perform at-home assessments of their condition.

Researchers at Johns Hopkins University (JHU; Baltimore, MD, USA), the University of Rochester Medical Center (URMC; NY, USA), and other institutions conducted an observational study to assess the validity of a smartphone app that uses a machine-learning approach to objectively measure PD features that can be derived from five smartphone activities--voice, finger tapping, gait, balance, and reaction time--in order to generate a mobile Parkinson disease score (mPDS) on a scale of 0 to 100 (where higher scores indicate greater severity).

The study examined 6,148 patient assessments from 129 people (mean age 58.7 years; 43.4% women), both with and without PD. More...
In addition, 23 individuals with PD and 17 without PD completed standard in-person assessments during a period of six months. The main outcomes and measures were the ability of the mPDS score to identify intraday symptom fluctuations, examine how the grade score correlated with current standard PD outcome measures, and whether the mPDS grading could account for dopaminergic medication.

The results revealed that gait features contributed most to the total mPDS, at 33.4%; mPDS detected symptom fluctuations with a mean intraday change of 13.9 points on a scale of 0 to 100. The measure correlated well with The International Parkinson and Movement Disorder Society Unified Parkinson Disease’s Rating Scale, the Time Up and Go (TUG) assessment, and the Hoehn and Yahr stage tool. The mPDS improved by a mean 16.3 points in response to dopaminergic therapy. The study was published on March 26, 2018, in JAMA Neurology.

“The ability to remotely monitor patients on a much more frequent basis, more accurately track the symptoms and progression of the disease, and monitor the impact of exercise, sleep, and medications and their side effects holds the potential to transform how we treat Parkinson’s disease,” concluded study co-author Christopher Tarolli, MD, of URMC, and colleagues. “This score complements standard PD measures by providing frequent, objective, real-world assessments that could enhance clinical care and evaluation of novel therapeutics.”

PD is a long-term degenerative disorder of the central nervous system that mainly affects the motor system. The symptoms generally come on slowly over time. Early in the disease, the most obvious are shaking, rigidity, slowness of movement, and difficulty with walking. Dementia becomes common in the advanced stages of the disease. Depression and anxiety are also common occurring in more than a third of people with PD. Other symptoms include sensory, sleep, and emotional problems.

Related Links:
Johns Hopkins University
University of Rochester Medical Center


Gold Member
Neonatal Heel Incision Device
Tenderfoot
Radiology Monitor
MDNC-6121 Barco Nio Color 5.8MP
Surgical System
Stealth AXiS
Patient Preoperative Skin Preparation
BD ChloraPrep
Read the full article by registering today, it's FREE! It's Free!
Register now for FREE to HospiMedica.com and get access to news and events that shape the world of Hospital Medicine.
  • Free digital version edition of HospiMedica International sent by email on regular basis
  • Free print version of HospiMedica International magazine (available only outside USA and Canada).
  • Free and unlimited access to back issues of HospiMedica International in digital format
  • Free HospiMedica International Newsletter sent every week containing the latest news
  • Free breaking news sent via email
  • Free access to Events Calendar
  • Free access to LinkXpress new product services
  • REGISTRATION IS FREE AND EASY!
Click here to Register








Channels

Artificial Intelligence

view channel
Image: Artificial intelligence (AI) standalone performance and reader performance with versus without AI assistance. (A) Receiver operating characteristics (ROC) curve for AI standalone performance in the US dataset (AUC 0.899, 95% CI 0.858 to 0.939). (B) ROC curve for AI standalone performance in the Korean dataset (AUC 0.963, 95% CI 0.946 to 0.975). (C) Pooled reader ROC without (AUC 0.718) versus with (AUC 0.852) AI assistance in the Korean dataset; P<0.001. AUC, area under the receiver operating characteristics curve. (Leonard Sunwoo et al., Journal of NeuroInterventional Surgery (2026). DOI: 10.1136/jnis-2026-025339)

AI Improves Non-Contrast CT Interpretation for Time-Sensitive Stroke Assessment

Acute ischemic stroke occurs when a blood vessel in the brain becomes blocked, requiring rapid diagnosis to enable timely reperfusion therapy. Emergency departments often use computed tomography angiography... Read more

Critical Care

view channel
Image: How the machine learning helps to predict charge mobility under stretched states (Photo courtesy of Chen, X., et al.)

New Approach Helps Identify Materials for More Reliable Wearable Electronics

Wearable health monitors and electronic skin must maintain stable performance while being stretched and bent. Molecular single crystals are promising for such stretchable electronics, yet the microscale... Read more

Surgical Techniques

view channel
Image: The new system uses an AI model that automatically matches one patient’s X-rays with 3D scans in a matter of seconds, and with sub-millimeter precision (Photo courtesy of Vivek Gopalakrishnan, Polina Golland)

Patient-Specific AI Tool Aligns X-Rays With 3D Scans For Surgical Navigation

Minimally invasive procedures rely on real-time X-rays for navigation, but two-dimensional images can obscure the precise location and orientation of instruments inside the body. This uncertainty can prolong... Read more

Business

view channel
Image: LigaSure RAS Maryland, designed for the Valleylab FT10 platform on Hugo RAS, seals and cuts vessels, tissue, and lymphatics up to 7 mm in diameter (Photo courtesy of Medtronic)

Medtronic Receives FDA Clearance for Vessel-Sealing Instrument for Robotic Surgery

As robotic-assisted surgery expands across U.S. hospitals, teams increasingly seek energy instruments with the familiarity and performance of tools used in open and laparoscopic procedures.... Read more
Copyright © 2000-2026 Globetech Media. All rights reserved.