Voice-Analyzing Diagnosis Systems

Max Little is Developing this Cheaper Parkinson's Diagnosis Tool

Using voice recordings and smartphone movements you can make a Parkinson's diagnosis. Diagnosing Parkinson's Disease can be a long and difficult process as there is no blood test for it and it often involves multiple visits with a neurologist. The Parkinson's Voice Initiative is working on finding a less expensive and more accessible way to use people's voice patterns.

Beyond trembling limbs and a stopped gait, Parkinson's Disease symptoms include breathiness and specific fluctuations of the voice. Led by Max Little, this Parkinson's diagnosis project is looking to create a method to test these voice patterns, using a smartphone for instance. The British mathematician and visiting professor at MIT is currently analyzing recordings, after which he will be able to develop a system that automatically analyzes voices.

Voice-analyzing Diagnosis
Using voice recordings and smartphone movements to diagnose Parkinson's Disease presents a disruptive innovation opportunity in healthcare.
Less Expensive Diagnostics
Developing a less expensive and more accessible method to diagnose Parkinson's Disease through voice patterns can disrupt the healthcare industry.
Automated Voice Analysis
Creating a system that automatically analyzes voices for Parkinson's Disease can lead to disruptive innovation in the healthcare sector.

Sectors Adopting This

Healthcare
The healthcare industry can benefit from the disruptive innovation opportunity of voice-analyzing diagnosis systems for Parkinson's Disease.
Mobile Technology
The mobile technology industry can explore opportunities to incorporate voice analysis and smartphone movements for diagnostic purposes in Parkinson's Disease.
Data Analysis
The data analysis industry can contribute to developing automated voice analysis systems for diagnosing Parkinson's Disease, creating a disruptive innovation potential.
SCORE
1.6 out of 10
GENDER
50% Men50% Women
MARKETTop markets: North America, Europe
GENERATION
  • Gen Z
  • Gen Alpha
  • Millennial
  • Gen X (primary audience)
POPULARITY
Popularity 13%
Activity 27%
Freshness 8%