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<p>Chronic pain management typically involves opioids, which are associated with severe side effects such as addiction. Implantable percutaneous electrical stimulators are a promising alternative approach to pain management. However, they are expensive, can cause damage during surgery and often rely on a battery power supply that must be periodically replaced. Here we report an integrated flexible ultrasound-induced wireless implantable stimulator combined with a pain detection and management system for personalized chronic pain management. Power is supplied to the stimulator by a wearable ultrasound transmitter. We classify pain stimuli from brain recordings by developing a machine learning model and program the acoustic energy from the ultrasound transmitter and therefore the intensity of electrical stimulation. We show that the implant can generate targeted, self-adaptive and quantitative electrical stimulations to the spinal cord according to the classified pain levels for chronic pain management in free-moving animal models.</p>

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A programmable and self-adaptive ultrasonic wireless implant for personalized chronic pain management

  • 期刊论文

  • 发表日期：

    2025年5月12日

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  • Yushun Zeng,
  • Chen Gong,
  • Gengxi Lu,
  • Jianxing Wu,
  • Xiao Wan,
  • Yang Yang,
  • Jie Ji,
  • Junhang Zhang,
  • Runze Li,
  • Yizhe Sun,
  • Ziyuan Che,
  • Chi-Feng Chang,
  • Hsiao-Chuan Liu,
  • Jiawen Chen,
  • Qingqing He,
  • Xin Sun,
  • Ruitong Chen,
  • Sina Khazaee Nejad,
  • Xunan Liu,
  • Deepthi S. Rajendran Nair,
  • Laiming Jiang,
  • Jun Chen,
  • Qifa Zhou

摘要

Chronic pain management typically involves opioids, which are associated with severe side effects such as addiction. Implantable percutaneous electrical stimulators are a promising alternative approach to pain management. However, they are expensive, can cause damage during surgery and often rely on a battery power supply that must be periodically replaced. Here we report an integrated flexible ultrasound-induced wireless implantable stimulator combined with a pain detection and management system for personalized chronic pain management. Power is supplied to the stimulator by a wearable ultrasound transmitter. We classify pain stimuli from brain recordings by developing a machine learning model and program the acoustic energy from the ultrasound transmitter and therefore the intensity of electrical stimulation. We show that the implant can generate targeted, self-adaptive and quantitative electrical stimulations to the spinal cord according to the classified pain levels for chronic pain management in free-moving animal models.