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Drawing Analysis Used to Detect, Classify Parkinson’s

Detecting Parkinson’s early in the course of the disease is an important role for primary care doctors as many treatment options are only effective during the initial stages of the disease.

Unfortunately, determining a Parkinson’s diagnosis can be challenging. Now, Australian researchers have developed an innovative automated system that assesses a person’s capability to draw a spiral on a sheet of paper.

An analysis of how long it takes to draw the spiral and how hard a person pressed on the paper can both detect Parkinson’s disease and determine the level of severity of the disease.

Parkinson’s disease is a neurodegenerative disorder that causes shaking, muscle rigidity, and difficulty with walking, Parkinson’s disease affects about one million people in the United States and more than four million people worldwide. About 60,000 people are diagnosed each year in the United States.

An understanding of disease severity helps doctors make the right treatment decisions, and to follow-up the progression of symptoms. Investigators posited that one way to contribute to the diagnosis of Parkinson’s involves the capacity of patients to use a pen.

Certain symptoms that appear early in the disease, such as rigidity, can interfere with a patient’s ability to write or sketch. Handwriting can be influenced by a person’s level of education and language proficiency, so a better alternative involves sketching a shape, such as a spiral.

However, one drawback to this approach is that only an expert can interpret the sketches, and even experts are challenged to assess disease severity from the sketches alone, especially at the early stages of the disease.

Previous research has found that Parkinson’s patients tend to move their pen more slowly when sketching, and they also use less pressure on the page. While these factors are useful for telling if someone has Parkinson’s or not, so far researchers have not been able to reliably gauge how severe someone’s disease is, using pen speed or pressure.

In the new study, researchers set out to develop an automatic system to contribute to the diagnosis of Parkinson’s, and to assess its severity, from the comfort of a community doctor’s office.

“Our aim was to develop an affordable and automated electronic system for early-stage diagnosis of Parkinson’s disease, which could be used easily by a community doctor or nursing staff,” said Poonam Zham, a researcher involved in the study.

The researchers developed specialized software and combined it with a tablet computer that can measure writing speed, and a pen that can measure pressure on a page. They used the system to measure pen speed and pressure during a simple spiral sketching task in a sample of healthy volunteers and Parkinson’s patients with different levels of disease severity.

In a world-first, the system also mathematically combines pen speed and pressure into one measurement, which the team calls the Composite Index of Speed and Pen-pressure (CISP) score.

The system measured slower pen speeds, pen pressures, and CISP scores in the Parkinson’s patients, compared with the healthy volunteers, and all three measurements clearly indicated whether a participant had Parkinson’s or not.

On their own, pen speed and pressure were not sufficiently different between patients with different levels of Parkinson’s severity, for the system to distinguish between them.

However, using the new CISP score, the system could tell whether the patients had level one or level three Parkinson’s, using a particular disease severity scale.

“The system can automatically provide accurate Parkinson’s diagnosis and could also be used by community doctors to monitor the effect of treatment on the disease,” said Zham.

“This simple device can be used by community doctors for routine screening of their patients every few years after the patients are above middle-age.”

Source: Frontiers/EurekAlert

Drawing Analysis Used to Detect, Classify Parkinson’s

Rick Nauert PhD

Rick Nauert, PhDDr. Rick Nauert has over 25 years experience in clinical, administrative and academic healthcare. He is currently an associate professor for Rocky Mountain University of Health Professionals doctoral program in health promotion and wellness. Dr. Nauert began his career as a clinical physical therapist and served as a regional manager for a publicly traded multidisciplinary rehabilitation agency for 12 years. He has masters degrees in health-fitness management and healthcare administration and a doctoral degree from The University of Texas at Austin focused on health care informatics, health administration, health education and health policy. His research efforts included the area of telehealth with a specialty in disease management.

APA Reference
Nauert PhD, R. (2018). Drawing Analysis Used to Detect, Classify Parkinson’s. Psych Central. Retrieved on December 3, 2020, from
Scientifically Reviewed
Last updated: 8 Aug 2018 (Originally: 7 Sep 2017)
Last reviewed: By a member of our scientific advisory board on 8 Aug 2018
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