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Khan, Hammad F; Dutta, Sayan; Scott, Alicia N; Xiao, Shulan; Yadav, Saumitra; Chen, Xiaoling; Aryal, Uma K; Kinzer-Ursem, Tamara L; Rochet, Jean-Christophe; Jayant, Krishna (, Nature Communications)
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Chatterjee, Baibhab; Nath, Mayukh; Kumar_K, Gaurav; Xiao, Shulan; Jayant, Krishna; Sen, Shreyas (, Nature Electronics)Wearable devices typically use electromagnetic fields for wireless information exchange. For implanted devices, electromagnetic signals suffer from a high amount of absorption in tissue, and alternative modes of transmission (ultrasound, optical and magneto-electric) cause large transduction losses due to energy conversion. To mitigate this challenge, we report biphasic quasistatic brain communication for wireless neural implants. The approach is based on electro-quasistatic signalling that avoids transduction losses and leads to an end-to-end channel loss of only around 60 dB at a distance of 55 mm. It utilizes dipole-coupling-based signal transfer through the brain tissue via differential excitation in the transmitter (implant) and differential signal pickup at the receiver (external hub). It also employs a series capacitor before the signal electrode to block d.c. current flow through the tissue and maintain ion balance. Since the electrical signal transfer through the brain is electro-quasistatic up to the several tens of megahertz, it provides a scalable (up to 10 Mbps), low-loss and energy-efficient uplink from the implant to an external wearable. The transmit power consumption is only 0.52 μW at 1 Mbps (with 1% duty cycling)—within the range of possible energy harvesting in the downlink from a wearable hub to an implant.more » « less
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Chatterjee, Baibhab; Kumar, K Gaurav; Xiao, Shulan; Barik, Gourab; Jayant, Krishna; Sen, Shreyas (, ESSCIRC 2022- IEEE 48th European Solid State Circuits Conference (ESSCIRC))
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