ICalm: Wearable sensor and network architecture for wirelessly communicating and logging autonomic activity

  • Fletcher R
  • Dobson K
  • Goodwin M
 et al. 
  • 202


    Mendeley users who have this article in their library.
  • 68


    Citations of this article.


Widespread use of affective sensing in healthcare applications has been limited due to several practical factors, such as lack of comfortable wearable sensors, lack of wireless standards, and lack of low-power affordable hardware. In this paper, we present a new low-cost, low-power wireless sensor platform implemented using the IEEE 802.15.4 wireless standard, and describe the design of compact wearable sensors for long-term measurement of electrodermal activity, temperature, motor activity, and photoplethysmography. We also illustrate the use of this new technology for continuous long-term monitoring of autonomic nervous system and motion data from active infants, children, and adults. We describe several new applications enabled by this system, discuss two specific wearable designs for the wrist and foot, and present sample data.

Author-supplied keywords

  • Affective computing
  • Anxiety disorders
  • Autism
  • Autonomic nervous system (ANS)
  • Electrodermal activity (EDA)
  • Fabric electrodes
  • Heart rate variability (HRV)
  • Network
  • Radio
  • Sleep
  • Wearable sensors

Get free article suggestions today

Mendeley saves you time finding and organizing research

Sign up here
Already have an account ?Sign in

Find this document

Get full text


  • Richard Ribon Fletcher

  • Kelly Dobson

  • Matthew S. Goodwin

  • Hoda Eydgahi

  • Oliver Wilder-Smith

  • David Fernholz

Cite this document

Choose a citation style from the tabs below

Save time finding and organizing research with Mendeley

Sign up for free