Publications in the areas of Data Mining and DSP


Scoliosis is a medical condition which occurs in adolescents, where an individual’s spine develops curvature. A Thoracolumbosacral orthosis (TLSO) is a type of brace used to control the lateral curvature of the spine in scoliosis. To successfully monitor the brace treatment, a multi-modal sensor board is attached to the patient’s brace.  Our team worked on developing state of the art signal processing and data mining techniques to evaluate the effectiveness of the brace treatment. Here is the list of conference papers that were accepted:

  1. Omid Dehzangi, Omar Iftikhar, Bhavani Anantapur Bache, Jeffrey Wensman, Ying Li submitted “Brace treatment Monitoring Solution for Idiopathic Scoliosis Patients”, to 16th IEEE International Conference on Machine learning and Applications (ICMLA), Cancun, Mexico, December 2017.
  2. Omid Dehzangi, Omar Iftikhar, Bhavani Anantapur Bache, Jeffrey Wensman, Ying Li submitted “Force and activity monitoring System for Scoliosis patients wearing back braces”, to The IEEE International conference on consumer electronics (ICCE), Las Vegas, 2018.
  3. Omid Dehzangi, Bhavani Anantapur Bache, Omar Iftikhar, Jeffrey Wensman, Ying Li submitted “Context-Aware Sensor solution for remote monitoring of adolescent idiopathic scoliosis brace treatment” to 12th International Conference on Body Area Networks, Dalian, People’s republic of China, 2017.

Each paper represents a unique analysis and a novel methodology to evaluate the effectiveness of the treatment of Scoliosis patients.

Advertisements

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s