Kiseok Song, Hyungwoo Lee, Sunjoo Hong, Hyunwoo Cho, H. Yoo
{"title":"用于紧凑型电针系统的带多模态传感器的亚10na直流平衡自适应刺激IC","authors":"Kiseok Song, Hyungwoo Lee, Sunjoo Hong, Hyunwoo Cho, H. Yoo","doi":"10.1109/ISSCC.2012.6177021","DOIUrl":null,"url":null,"abstract":"Electro-acupuncture (EA), a combination of acupuncture and electrical stimulation, has been widely used for its effectiveness in pain relief since the 1970s [1] and later for treatment of various diseases such as depression, addiction, and gastrointestinal disorders [2], and non-medical applications including obesity treatment [3]. For stimulation, most EA systems use a pair of needles with long, thick wires connected to an external power supply to form a closed current loop. The thin (φ=2mm) needle may suffer from the inconvenient and unstable connection to the thick wire and if there are many needles, it is difficult to supply power to all needles [4]. Recently, a wirelessly-powered EA system was proposed in [4] to remove the wire connections for convenient treatment, but its wireless power harvesting generated only 8μW which is not enough for various applications [1-3]. Most EA systems use bi-phase stimulation to reduce tissue damage, electrolysis, and electrolytic degradation [5]. However, the high-precision balancing of a bi-phase current pulse is difficult to achieve because the required offset, <;10nA [6], is only on the order of 10<;sup>;-5<;/sup>; of the stimulation current level, ~1mA. Furthermore, none of the previous EA systems have any feedback mechanism to enable adaptive stimulation by showing the real-time status of the EA stimulation to the patient.","PeriodicalId":255282,"journal":{"name":"2012 IEEE International Solid-State Circuits Conference","volume":"618 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":"{\"title\":\"A sub-10nA DC-balanced adaptive stimulator IC with multimodal sensor for compact electro-acupuncture system\",\"authors\":\"Kiseok Song, Hyungwoo Lee, Sunjoo Hong, Hyunwoo Cho, H. Yoo\",\"doi\":\"10.1109/ISSCC.2012.6177021\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Electro-acupuncture (EA), a combination of acupuncture and electrical stimulation, has been widely used for its effectiveness in pain relief since the 1970s [1] and later for treatment of various diseases such as depression, addiction, and gastrointestinal disorders [2], and non-medical applications including obesity treatment [3]. For stimulation, most EA systems use a pair of needles with long, thick wires connected to an external power supply to form a closed current loop. The thin (φ=2mm) needle may suffer from the inconvenient and unstable connection to the thick wire and if there are many needles, it is difficult to supply power to all needles [4]. Recently, a wirelessly-powered EA system was proposed in [4] to remove the wire connections for convenient treatment, but its wireless power harvesting generated only 8μW which is not enough for various applications [1-3]. Most EA systems use bi-phase stimulation to reduce tissue damage, electrolysis, and electrolytic degradation [5]. However, the high-precision balancing of a bi-phase current pulse is difficult to achieve because the required offset, <;10nA [6], is only on the order of 10<;sup>;-5<;/sup>; of the stimulation current level, ~1mA. Furthermore, none of the previous EA systems have any feedback mechanism to enable adaptive stimulation by showing the real-time status of the EA stimulation to the patient.\",\"PeriodicalId\":255282,\"journal\":{\"name\":\"2012 IEEE International Solid-State Circuits Conference\",\"volume\":\"618 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-04-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"13\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 IEEE International Solid-State Circuits Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISSCC.2012.6177021\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE International Solid-State Circuits Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSCC.2012.6177021","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A sub-10nA DC-balanced adaptive stimulator IC with multimodal sensor for compact electro-acupuncture system
Electro-acupuncture (EA), a combination of acupuncture and electrical stimulation, has been widely used for its effectiveness in pain relief since the 1970s [1] and later for treatment of various diseases such as depression, addiction, and gastrointestinal disorders [2], and non-medical applications including obesity treatment [3]. For stimulation, most EA systems use a pair of needles with long, thick wires connected to an external power supply to form a closed current loop. The thin (φ=2mm) needle may suffer from the inconvenient and unstable connection to the thick wire and if there are many needles, it is difficult to supply power to all needles [4]. Recently, a wirelessly-powered EA system was proposed in [4] to remove the wire connections for convenient treatment, but its wireless power harvesting generated only 8μW which is not enough for various applications [1-3]. Most EA systems use bi-phase stimulation to reduce tissue damage, electrolysis, and electrolytic degradation [5]. However, the high-precision balancing of a bi-phase current pulse is difficult to achieve because the required offset, <;10nA [6], is only on the order of 10<;sup>;-5<;/sup>; of the stimulation current level, ~1mA. Furthermore, none of the previous EA systems have any feedback mechanism to enable adaptive stimulation by showing the real-time status of the EA stimulation to the patient.