Human++: autonomous wireless sensors for body area networks

Gyselinckx, B.; Hoof, Chris Van; Ryckaert, Julien; Yazıcıoğlu, Refet Fırat; Fiorini, Paolo; Leonov, Vladimir

doi:10.1109/cicc.2005.1568597

Cited by 119 publications

(71 citation statements)

References 6 publications

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“…The power constraints for wearable EEG systems are summarized well in [33]. If the overall device is assumed to have a volume of 1 cm 3 (a common aim for body area network …”

Section: Power Consumptionmentioning

confidence: 99%

Wearable Electroencephalography

Casson

Yates

Smith

et al. 2010

IEEE Eng. Med. Biol. Mag.

322

193

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“…The power constraints for wearable EEG systems are summarized well in [33]. If the overall device is assumed to have a volume of 1 cm 3 (a common aim for body area network …”

Section: Power Consumptionmentioning

confidence: 99%

Wearable Electroencephalography

Casson

Yates

Smith

et al. 2010

IEEE Eng. Med. Biol. Mag.

322

193

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“…In order to fully exploit the benefits of wireless technologies in telemedicine and mHealth, a new type of wireless network emerges: a wireless on-body network or a Wireless Body Area Network (WBAN). This term was first coined by Van Dam et al in 2001 [3] and received the interest of several researchers [4][5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

A Comprehensive Survey of Wireless Body Area Networks

Higgins²,

et al. 2010

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The increasing use of wireless networks and the constant miniaturization of electrical devices has empowered the development of Wireless Body Area Networks (WBANs). In these networks various sensors are attached on clothing or on the body or even implanted under the skin. The wireless nature of the network and the wide variety of sensors offer numerous new, practical and innovative applications to improve health care and the Quality of Life. The sensors of a WBAN measure for example the heartbeat, the body temperature or record a prolonged electrocardiogram. Using a WBAN, the patient experiences a greater physical mobility and is no longer compelled to stay in the hospital. This paper offers a survey of the concept of Wireless Body Area Networks. First, we focus on some applications with special interest in patient monitoring. Then the communication in a WBAN and its positioning between the different technologies is discussed. An overview of the current research on the physical layer, existing MAC and network protocols is given. Further, cross layer and quality of service is discussed. As WBANs are placed on the human body and often transport private data, security is also considered. An overview of current and past projects is given. Finally, the open research issues and challenges are pointed out.

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“…Thus for prolonged monitoring the average power consumption must be very low. [1] quantifies this well. If the overall device is assumed to have a volume of 1 cm 3 , a common aim for such systems, and half of this space is reserved for a custom made battery of energy density 200 Wh/L, 100 mWh of energy is stored.…”

Section: Introductionmentioning

confidence: 99%

Low power signal processing electronics for wearable medical devices

Casson

Rodriguez‐Villegas

2010

2010 Annual International Conference of the IEEE Engineering in Medicine and Biology

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Abstract-Custom designed microchips, known as Application Specific Integrated Circuits (ASICs), offer the lowest possible power consumption electronics. However, this comes at the cost of a longer, more complex and more costly design process compared to one using generic, off-the-shelf components. Nevertheless, their use is essential in future truly wearable medical devices that must operate for long periods of time from physically small, energy limited batteries. This presentation will demonstrate the state-of-the-art in ASIC technology for providing online signal processing for use in these wearable medical devices.

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Human++: autonomous wireless sensors for body area networks

Cited by 119 publications

References 6 publications

Wearable Electroencephalography

Wearable Electroencephalography

A Comprehensive Survey of Wireless Body Area Networks

Low power signal processing electronics for wearable medical devices

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