Minimally Invasive Retinal Prosthesis

Theogarajan, Luke; Wyatt, John L.; Rizzo, Joseph F.; Drohan, B.; Markova, M.; Kelly, Shawn K.; Swider, G.; Raj, Mayank; Shire, D. B.; Gingerich, Marcus D.; Lowenstein, Jay D.; Yomtov, Barry

doi:10.1109/isscc.2006.1696038

Cited by 46 publications

(23 citation statements)

References 6 publications

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“…The artificial retina translates the electrical impulses into neurological signals. The input can be obtained locally from light sensitive sensors or by an external camera mounted on a pair of glasses [21].…”

Section: Patient Monitoringmentioning

confidence: 99%

A survey on wireless body area networks

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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Section: Patient Monitoringmentioning

confidence: 99%

A survey on wireless body area networks

et al. 2010

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“…The input can be gained locally by light sensor or by an external camera in a pair of sensitive glasses. Therefore, help patients that limited or no eye to see [87].…”

Section: Patient Monitoring and Telemedicine Systemsmentioning

confidence: 99%

A Review of State-of-the-Art on Wireless Body Area Networks

Yazdi¹,

Hosseinzadeh²,

Jabbehdari³

2017

ijacsa

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Abstract-During the last few years, Wireless Body Area Networks (WBANs) have emerged into many application domains, such as medicine, sport, entertainments, military, and monitoring. This emerging networking technology can be used for e-health monitoring. In this paper, we review the literature and investigate the challenges in the development architecture of WBANs. Then, we classified the challenges of WBANs that need to be addressed for their development. Moreover, we investigate the various diseases and healthcare systems and current state-ofthe-art of applications and mainly focus on the remote monitoring for elderly and chronically diseases patients. Finally, relevant research issues and future development are discussed.

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“…Thus, operation at different carrier frequencies for power and data links is often advantageous. Hence, other work has used separate coupled resonators for the power link and data link [12], [28]. High-systems need periodic auto-calibration and auto-tuning feedback loops to maintain resonance.…”

Section: Rf Power Linkmentioning

confidence: 99%

Low-Power Circuits for Brain-Machine Interfaces

Sarpeshkar

Wattanapanitch

Rapoport

et al. 2007

2007 IEEE International Symposium on Circuits and Systems (ISCAS)

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Abstract-This paper presents work on ultra-low-power circuits for brain-machine interfaces with applications for paralysis prosthetics, stroke, Parkinson's disease, epilepsy, prosthetics for the blind, and experimental neuroscience systems. The circuits include a micropower neural amplifier with adaptive power biasing for use in multi-electrode arrays; an analog linear decoding and learning architecture for data compression; low-power radio-frequency (RF) impedance-modulation circuits for data telemetry that minimize power consumption of implanted systems in the body; a wireless link for efficient power transfer; mixed-signal system integration for efficiency, robustness, and programmability; and circuits for wireless stimulation of neurons with power-conserving sleep modes and awake modes. Experimental results from chips that have stimulated and recorded from neurons in the zebra finch brain and results from RF power-link, RF data-link, electrode-recording and electrode-stimulating systems are presented. Simulations of analog learning circuits that have successfully decoded prerecorded neural signals from a monkey brain are also presented.

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Minimally Invasive Retinal Prosthesis

Cited by 46 publications

References 6 publications

A survey on wireless body area networks

A survey on wireless body area networks

A Review of State-of-the-Art on Wireless Body Area Networks

Low-Power Circuits for Brain-Machine Interfaces

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