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Wireless, Implantable SoCs for Body Sensor Networks 1st ed. 2024 [Kietas viršelis]

  • Formatas: Hardback, 200 pages, aukštis x plotis: 235x155 mm, 100 Illustrations, black and white; 200 p. 100 illus., 1 Hardback
  • Išleidimo metai: 03-Sep-2024
  • Leidėjas: Springer International Publishing AG
  • ISBN-10: 3319204890
  • ISBN-13: 9783319204895
Kitos knygos pagal šią temą:
Wireless, Implantable SoCs for Body Sensor Networks 1st ed. 2024
  • Formatas: Hardback, 200 pages, aukštis x plotis: 235x155 mm, 100 Illustrations, black and white; 200 p. 100 illus., 1 Hardback
  • Išleidimo metai: 03-Sep-2024
  • Leidėjas: Springer International Publishing AG
  • ISBN-10: 3319204890
  • ISBN-13: 9783319204895
Kitos knygos pagal šią temą:
The book provides in-depth explanation of circuit design for wireless, implantable Systems-on-Chip (SoC) for body sensor networks. The authors describe a closed-loop implantable micro-stimulator SoC, capable of sensing a physiological signal, micro-stimulation, and wireless data/command transmission. Coverage includes analog front-end circuits for bio-signal acquisition, power management circuits for power and data communication, micro-stimulator circuits for neuromodulation, and digital signal processing circuits for data demodulation and control, as well as a variety of implantable applications, such as cardiac pacemakers, cochlear implants, retinal prostheses, functional neuromuscular stimulation (FNS) systems, and deep brain stimulators.

Introduction.- System architecture of wireless telemetry for implantable body sensor network.- RF front-end circuits for implantable SOC.- Micro-stimulator for implantable SOC.- Digital circuits for implantable SOC.- Analog front-end circuits for implantable SOC.- Experimental results and conclusions.
Introduction.- System architecture of wireless telemetry for implantable body sensor network.- RF front-end circuits for implantable SOC.- Micro-stimulator for implantable SOC.- Digital circuits for implantable SOC.- Analog front-end circuits for implantable SOC.- Experimental results and conclusions.
Shuenn-Yuh Lee is a Professor at National Cheng Kung University.