NDLI: A 75 <formula formulatype=inline><tex Notation=TeX>$mu$</tex> </formula>W Real-Time Scalable Body Area Network Controller and a 25 <formula formulatype=inline><tex Notation=TeX>$mu$</tex></formula>W ExG Sensor IC for Compact Sleep Monitoring Applications

Content Provider	IEEE Xplore Digital Library
Author	Seulki Lee Long Yan Taehwan Roh Sunjoo Hong Hoi-Jun Yoo
Copyright Year	1966
Abstract	A light-weighted body area network using 3-layer coin-sized fabric patches is proposed for sleep monitoring systems. It consists of two ICs, a network controller (NC) and a sensor node (SN), and also Wearable Band (W-Band) to connect them. The Continuous Data Transmission (CDT) protocol is proposed for low power and real-time scalability by in-order data transmission using W-Band among several sensors. Based on this protocol, Linked List based network Manager (LLM) and Adaptive Dual Mode Controller (ADMC) in NC, and low swing data transmitter (D-TX) and its own back-end circuits are introduced. The LLM and ADMC can adaptively change the network configuration according to the dynamic network variances in real-time ( <;500 ms), and D-TX can make low energy data transmitter of 0.33 pJ/b with 20 Mbps data rate for W-Band interface. These two low power ICs, which are implemented in 0.18 μm CMOS process and operates with 1.5 V supply, consume 75 μW and 25 μW, respectively.
Sponsorship	IEEE Solid-State Circuits Society IEEE Electron Devices Society IEEE Circuits and Systems Society Japan Society of Applied Physics (JSAP) IEEE Microwave Theory and Techniques Society IEEE San Francisco Section Bay Area Council Univ. PA IEEE
Starting Page	323
Ending Page	334
Page Count	12
File Size	2810159
File Format	PDF
ISSN	00189200
Volume Number	47
Issue Number	1
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Home automation Integrated circuits Sleep Data communication Monitoring Real time systems Body area networks Biomedical monitoring Wearable computers wearable electronics Home sleep monitoring system low power polysomnography wearable body area network
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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