{"title":"基于nRF52832的多通道脑电信号采集系统","authors":"Wencan Chen","doi":"10.1109/CISCE58541.2023.10142276","DOIUrl":null,"url":null,"abstract":"This study examines a portable multi-channel EEG signal acquisition device based on the nRF52832 that can gather human EEG signals. Power supply, signal pre-processing, signal acquisition, the primary controller, and other components make up the majority of the system. The 24-bit analog front-end chip ADS1299 and the Bluetooth control chip nRF52832 make up the majority of the hardware component. The device can receive 16 channels of EEG signal data and communicate that data over Bluetooth to the computer side. The test demonstrates the system's tiny size, low power usage, and ability to lower operating costs.","PeriodicalId":145263,"journal":{"name":"2023 5th International Conference on Communications, Information System and Computer Engineering (CISCE)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Multi-channel EEG signal acquisition system based on nRF52832\",\"authors\":\"Wencan Chen\",\"doi\":\"10.1109/CISCE58541.2023.10142276\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study examines a portable multi-channel EEG signal acquisition device based on the nRF52832 that can gather human EEG signals. Power supply, signal pre-processing, signal acquisition, the primary controller, and other components make up the majority of the system. The 24-bit analog front-end chip ADS1299 and the Bluetooth control chip nRF52832 make up the majority of the hardware component. The device can receive 16 channels of EEG signal data and communicate that data over Bluetooth to the computer side. The test demonstrates the system's tiny size, low power usage, and ability to lower operating costs.\",\"PeriodicalId\":145263,\"journal\":{\"name\":\"2023 5th International Conference on Communications, Information System and Computer Engineering (CISCE)\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-04-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 5th International Conference on Communications, Information System and Computer Engineering (CISCE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CISCE58541.2023.10142276\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 5th International Conference on Communications, Information System and Computer Engineering (CISCE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CISCE58541.2023.10142276","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Multi-channel EEG signal acquisition system based on nRF52832
This study examines a portable multi-channel EEG signal acquisition device based on the nRF52832 that can gather human EEG signals. Power supply, signal pre-processing, signal acquisition, the primary controller, and other components make up the majority of the system. The 24-bit analog front-end chip ADS1299 and the Bluetooth control chip nRF52832 make up the majority of the hardware component. The device can receive 16 channels of EEG signal data and communicate that data over Bluetooth to the computer side. The test demonstrates the system's tiny size, low power usage, and ability to lower operating costs.