Multi-dimensional signal search with applications in remote medical monitoring Conference Paper uri icon


  • Although most of the medical and healthcare monitoring systems generate multi-dimensional time series (via multiple sensors), most of the work by research community has been focused on defining distance metrics and matching algorithms to improve accuracy and optimize performance of search in single dimensional time series. In this work we motivate the need for multidimensional time series matching and propose a scalable technique that has high accuracy in presence of noise, uncertainty, and lack of synchronization between dimensions. We focus on two medical monitoring devices and their applications to showcase the advantages, performance, and accuracy of our multi-dimensional time series search technique. We demonstrate effectiveness of our signal search technique by using precision and recall metrics. 2013 IEEE.

name of conference

  • 2013 IEEE International Conference on Body Sensor Networks (BSN)

published proceedings

  • 2013 IEEE International Conference on Body Sensor Networks

author list (cited authors)

  • Moazeni, M., Mortazavi, B., & Sarrafzadeh, M.

citation count

  • 3

complete list of authors

  • Moazeni, Maryam||Mortazavi, Bobak||Sarrafzadeh, Majid

publication date

  • May 2013