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

被引:82
作者
Fletcher, Richard Ribon [1 ]
Dobson, Kelly [2 ]
Goodwin, Matthew S. [1 ,3 ]
Eydgahi, Hoda
Wilder-Smith, Oliver [4 ,5 ]
Fernholz, David
Kuboyama, Yuta
Hedman, Elliott Bruce
Poh, Ming-Zher
Picard, Rosalind W.
机构
[1] MIT, Media Lab, Cambridge, MA 02142 USA
[2] Rhode Isl Sch Design, Providence, RI 02903 USA
[3] Groden Ctr, Providence, RI 02906 USA
[4] Affectiva Inc, Waltham, MA 02453 USA
[5] Harvard Univ, Cambridge, MA 02138 USA
来源
IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE | 2010年 / 14卷 / 02期
关键词
Affective computing; anxiety disorders; autism; autonomic nervous system (ANS); electrodermal activity (EDA); fabric electrodes; heart rate variability (HRV); network; radio; sleep; wearable sensors; CHILDREN;
D O I
10.1109/TITB.2009.2038692
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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 photo-plethysmography. 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.
引用
收藏
页码:215 / 223
页数:9
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