AB
Arjan Breeschoten
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2 records found
1
Conference paper
(2022)
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Minyoung Song, Yu Huang, More Authors..., Yiyu Shen, Chengyao Shi, Arjan Breeschoten, Mario Konijnenburg, Huib Visser, Jac Romme, Barundeb Dutta, Morteza S. Alavi
Intra-cortical extracellular neural sensing is being rapidly and widely applied in several clinical research and brain-computer interfaces (BCIs), as the number of sensing channels continues to double every 6 years. By distributing multiple high-density extracellular micro-electrode arrays (MEAs) in vivo across the brain, each with 1000's of sensing channels, neuroscientists have begun to map the correlation of neuronal activity across different brain regions, with single-neuron precision [1]. Since each neural sensing channel typically samples at 20 to 50kS/s with a > 10b ADC, multiple MEAs demand a data transfer rate up to Gb/s [2]. However, these BCIs are severely hindered in many clinical uses due to the lack of a high-data-rate and miniature-wireless-telemetry solution that can be implanted below the scalp, i.e., transcutaneously (Fig. 24.2.1). The area of the wireless telemetry module should be miniaturized to ~3cm2 due to neurosurgical implantation constraints. A transmission range up to 10cm is highly desirable, in order to improve the reliability of the wireless link against e.g., antenna misalignment, etc. Finally, the power consumption of the wireless telemetry should be limited to ~10mW to minimize thermal flux from the module's surface area, avoiding excessive tissue heating. Most of the conventional transcutaneous wireless telemetry systems adopt inductive coupling, but the data-rate is limited to a few Mb/s. A near-infrared (NIR) optical transcutaneous TX using a vertical-cavity-surface-emitting laser (VCSEL) [2] demonstrated a data-rate up to 300Mb/s but suffers from a limited transmission range (4mm) and requires a sub-mm precise alignment between the implant TX and a wearable RX. Impulse-radio UWB (IR-UWB) is promising for the targeted requirements [3]–[5].
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Intra-cortical extracellular neural sensing is being rapidly and widely applied in several clinical research and brain-computer interfaces (BCIs), as the number of sensing channels continues to double every 6 years. By distributing multiple high-density extracellular micro-electrode arrays (MEAs) in vivo across the brain, each with 1000's of sensing channels, neuroscientists have begun to map the correlation of neuronal activity across different brain regions, with single-neuron precision [1]. Since each neural sensing channel typically samples at 20 to 50kS/s with a > 10b ADC, multiple MEAs demand a data transfer rate up to Gb/s [2]. However, these BCIs are severely hindered in many clinical uses due to the lack of a high-data-rate and miniature-wireless-telemetry solution that can be implanted below the scalp, i.e., transcutaneously (Fig. 24.2.1). The area of the wireless telemetry module should be miniaturized to ~3cm2 due to neurosurgical implantation constraints. A transmission range up to 10cm is highly desirable, in order to improve the reliability of the wireless link against e.g., antenna misalignment, etc. Finally, the power consumption of the wireless telemetry should be limited to ~10mW to minimize thermal flux from the module's surface area, avoiding excessive tissue heating. Most of the conventional transcutaneous wireless telemetry systems adopt inductive coupling, but the data-rate is limited to a few Mb/s. A near-infrared (NIR) optical transcutaneous TX using a vertical-cavity-surface-emitting laser (VCSEL) [2] demonstrated a data-rate up to 300Mb/s but suffers from a limited transmission range (4mm) and requires a sub-mm precise alignment between the implant TX and a wearable RX. Impulse-radio UWB (IR-UWB) is promising for the targeted requirements [3]–[5].
Conference paper
(2019)
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Yao-Hong Liu, Sunil Sheelavant, Marco Mercuri, Paul Mateman, Johan Dijkhuis, Wilfried Zomagboguelou, Arjan Breeschoten, Stefano Traferro, Masoud Babaie, More authors...
For remote vital signs and occupancy detection in many smart home/building applications, radar sensors are a preferred option over cameras, due to privacy preservation and robustness to ambient light conditions. These radars not only need to provide precise range and vital signs information over meters distance, but also preferably can operate on a battery up to a few months or even years, for cost and practical reasons (like smoke detectors). State-of-the-art remote vital-sign sensors typically use an impulse-radio UWB (IR-UWB) radar [1,2] because it provides a range resolution <20 cm. However, their power consumption is typically in the order of 100's of mW, preventing long-term maintenance-free battery-powered operations. Although mains power can be used to supply such radars, this is not always available, depending on the location and the building type, and the installation cost (e.g., power routing) is significantly higher than for battery-powered ones. In this work, a burst-chirp radar with an energy-efficient chirp generation is proposed, leading to a record-low power consumption of 680 μW.
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For remote vital signs and occupancy detection in many smart home/building applications, radar sensors are a preferred option over cameras, due to privacy preservation and robustness to ambient light conditions. These radars not only need to provide precise range and vital signs information over meters distance, but also preferably can operate on a battery up to a few months or even years, for cost and practical reasons (like smoke detectors). State-of-the-art remote vital-sign sensors typically use an impulse-radio UWB (IR-UWB) radar [1,2] because it provides a range resolution <20 cm. However, their power consumption is typically in the order of 100's of mW, preventing long-term maintenance-free battery-powered operations. Although mains power can be used to supply such radars, this is not always available, depending on the location and the building type, and the installation cost (e.g., power routing) is significantly higher than for battery-powered ones. In this work, a burst-chirp radar with an energy-efficient chirp generation is proposed, leading to a record-low power consumption of 680 μW.