iCalm: Wearable Sensor and Network Architecture for Wirelessly Communicating and Logging Autonomic Activity

• Main Authors: Dobson, Kelly (Author), Goodwin, Matthew (Contributor), Eydgahi, Hoda (Contributor), Wilder-Smith, Oliver (Contributor), Fernholz, David (Contributor), Kuboyama, Yuta (Contributor), Hedman, Elliott Bruce (Contributor), Poh, Ming-Zher (Contributor), Picard, Rosalind W. (Contributor), Fletcher, Richard R (Author)
• Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor), Massachusetts Institute of Technology. Media Laboratory (Contributor), Program in Media Arts and Sciences (Massachusetts Institute of Technology) (Contributor), Fletcher, Richard Ribon (Contributor)
• Format: Article
• Language: English
• Published: Institute of Electrical and Electronics Engineers (IEEE), 2012-02-03T19:50:57Z.
• Subjects: Article
• Online Access: Get fulltext

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.
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