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Neurology:智能设备在全面性强直-阵挛性发作监测中的应用

2018-01-07 zhangfan MedSci原创

研究认为,该移动设备科完全满足全面性强直-阵挛性发作患者日常监测的需要,监测敏感性超过90%,响应时间低于30秒

近日研究人员考察了一种可穿戴智能设备对全面性强直-阵挛性发作(GTCS)自动检测的准确性。

研究人员前瞻性地测试了实时癫痫发作检测设备的技术性能和诊断准确性,考察癫痫检测的算法以及限度。总计71名长期接受视频脑电图监测的疑似GTCS患者参与。癫痫检测是实时自动的,以视频脑电图监测为参考。

每名患者的平均监测时间为53.18小时,总记录时间为3735.5小时,监测中断时间为193小时(占总时长的4.9%,开关机时间)。未发生不良事件。可穿戴设备检测的敏感性为93.8%,平均癫痫发作检测周期为9秒,假阳性率为每日0.67次。

研究认为,该移动设备科完全满足全面性强直-阵挛性发作患者日常监测的需要,监测敏感性超过90%,响应时间低于30秒。

原始出处:


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    2018-06-21 yinhl1978
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    2018-01-07 Y—xianghai

    学习了新知识

    0

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    2018-01-07 神功盖世

    0

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    2018-01-07 龙胆草

    学习谢谢分享

    0

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    2018-01-07 1ddf0692m34(暂无匿称)

    学习了.涨知识

    0

  6. [GetPortalCommentsPageByObjectIdResponse(id=2000255, encodeId=9ede200025581, content=<a href='/topic/show?id=d5df12695e6' target=_blank style='color:#2F92EE;'>#Neurol#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=97, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=12695, encryptionId=d5df12695e6, topicName=Neurol)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=8217292, createdName=yinhl1978, createdTime=Thu Jun 21 01:06:00 CST 2018, time=2018-06-21, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=276313, encodeId=78252e631359, content=学习了新知识, beContent=null, objectType=article, channel=null, level=null, likeNumber=90, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20201006/4db877c2887649beb09cb5effd0b38c7/916f66edd48a4e77b20ebc3e14b6e45c.jpg, createdBy=141e1980133, createdName=Y—xianghai, createdTime=Sun Jan 07 09:24:44 CST 2018, time=2018-01-07, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=276306, encodeId=e6d42e6306d7, content=阅, beContent=null, objectType=article, channel=null, level=null, likeNumber=95, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://wx.qlogo.cn/mmopen/vi_32/fhZdOu27e88Voqh19n8eF8cLplo8L4nicKtH0WnE3KFELXns5XDu8rsiceK2HHDZc2SEStia5VV3Pia2QLMVqlWbHw/0, createdBy=6e012139475, createdName=神功盖世, createdTime=Sun Jan 07 09:16:38 CST 2018, time=2018-01-07, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=276298, encodeId=94a72e6298fb, content=学习谢谢分享, beContent=null, objectType=article, channel=null, level=null, likeNumber=84, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://wx.qlogo.cn/mmopen/mStl88fu4Nd44v3xHnnictn9UpctwtH62EPQ59TMdI9lnqHMgQ16nH7GmGCfpzicsHgjibYVk6vwSpXrC86gMibRkoaIzf5HwSz7/0, createdBy=78cc1691107, createdName=龙胆草, createdTime=Sun Jan 07 09:14:45 CST 2018, time=2018-01-07, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=276289, encodeId=1d682e628998, content=学习了.涨知识, beContent=null, objectType=article, channel=null, level=null, likeNumber=95, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://img.medsci.cn/20220115/46bcf39c32de4aa6b45c5f9d66c8ee77/6cb4a20c55bb4b7691122f47747bfca2.jpg, createdBy=9dad1662329, createdName=1ddf0692m34(暂无匿称), createdTime=Sun Jan 07 09:07:46 CST 2018, time=2018-01-07, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=276269, encodeId=ec7a2e626916, content=谢谢分享.学习了, beContent=null, objectType=article, channel=null, level=null, likeNumber=120, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://wx.qlogo.cn/mmopen/NUyjXTCJjo6Nx0VGA4QMDzOP8oAgnV4h51EjSfehJ9QxyiaSmw8PB56BhY8KXFSxHCibXrzcy4abrzSibXQPxJ9kzrLcJyhhB8a/0, createdBy=1d3b1672603, createdName=明月清辉, createdTime=Sun Jan 07 08:13:45 CST 2018, time=2018-01-07, status=1, ipAttribution=)]
    2018-01-07 明月清辉

    谢谢分享.学习了

    0

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