"Time, frequency & complexity analysis for recognizing panic states ..."

Jonathan Rubin et al. (2016)

> Home

Details and statistics

DOI: —

access: closed

type: Conference or Workshop Paper

metadata version: 2021-04-13

- view
  - electronic edition @ acm.org
- export record
  dblp key:
  - conf/ph/RubinAAEB16
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/ph/RubinAAEB16
Jonathan Rubin, Rui Abreu, Shane Ahern, Hoda Eldardiry, Daniel G. Bobrow:
Time, frequency & complexity analysis for recognizing panic states from physiologic time-series. PervasiveHealth 2016: 81-88

a service of

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.