iSANLA: Intelligent Sensor and Actuator Network for Life science Applications

Simultaneous stimulation and recording of retinal nerve cells with penetrating three dimensional multi-electrode arrays (MEA) on a localized area is a demanding challenge in next generation retina implant research. Within the scope of this research we developed a device to stimulate a network of bi-polar cells and record retinal ganglion cells with a slight time gap to overcome long recording dead times and switching artifacts in common stimulation-and recording systems. The device contains a four channel stimulator capable of pushing arbitrary bi-polar charges into the tissue and a 16 channel commercial electrophysiology interface chip. The device is a miniaturized front-end for our former developed embedded wireless communicating sensor node. First tests in in-vitro retina slices on adult rat with our device show reliable recordings of ganglia cell activity below 1ms after the bi-polar cell stimulation. Index Terms-functional electrical stimulation, neuronal recording, retina implant, embedded system

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“…So far the iNODE System has been successfully established in the field of neurological rehabilitation and neurophysiological research [4], [5]. …”

Section: System Designmentioning

confidence: 99%

Embedded device for simultaneous recording and stimulation for retina implant research

et al. 2013

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“…In [58], authors developed a communication protocol based on the 802.15.4 standard to network the iNode sensors. However, it does not support a mesh topology and has a communication range limited to 10 meters.…”

Section: Sensor Node Designmentioning

confidence: 99%

Wireless sensor networks for rehabilitation applications: Challenges and opportunities

Hadjidj¹,

Souil²,

Bouabdallah³

et al. 2013

Journal of Network and Computer Applications

140

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Rehabilitation supervision has emerged as a new application of wireless sensor networks (WSN), with unique communication, signal processing and hardware design requirements. It is a broad and complex interdisciplinary research area on which more than one hundred papers have been published by several research communities (electronics, bio-mechanical, control and computer science). In this paper, we present WSN for rehabilitation supervision with a focus on key scientific and technical challenges that have been solved as well as interdisciplinary challenges that are still open. We thoroughly review existing projects conducted by several research communities involved in this exciting field. Furthermore, we discuss the open research issues and give directions for future research works. Our aim is to gather information that encourage engineers, clinicians and computer scientists to work together in this field to tackle the arising challenges.

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