基于多模态的癫痫自动检测方法研究
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摘要
癫痫发作原因复杂,在临床现象学中差异较大。临床上通常依赖医生目测分析,耗时耗力。及时开发对癫痫发作的智能检测在临床诊断中至关重要。回顾了现有技术包括使用EEG分析、运动分析、生理变化(增加心率,血氧饱和度,出汗,血压变化)或这些方法的组合,检测癫痫发作。同时根据癫痫发作日志,指出患者自我检测相对于客观临床EEG评价发现记录的发作漏报更多。创新型的多模态方法对于自动检测癫痫发作可能将加快治疗结果的检测和临床癫痫研究。
The causes of epileptic seizures are complex, and there are great differences in clinical phenomenology. Clinic often relies on visual analysis of doctors, which is time-consuming and labor-consuming. The timely development of intelligent detection of epileptic seizures is very important in clinical diagnosis. This article reviews existing techniques including EEG analysis, exercise analysis, physiological changes(increased heart rate, oxygen saturation, sweating, blood pressure changes) or combinations of these methods to detect epileptic seizures. At the same time, according to the seizure log, it is pointed out that the patients' self-evaluation is more unauthentic than the clinical EEG evaluation. For better clinical practice of epilepsy, innovative multimodal methods for automatic detection of epileptic seizures may speed up the detection of therapeutic outcomes and clinical epilepsy research.
The causes of epileptic seizures are complex, and there are great differences in clinical phenomenology. Clinic often relies on visual analysis of doctors, which is time-consuming and labor-consuming. The timely development of intelligent detection of epileptic seizures is very important in clinical diagnosis. This article reviews existing techniques including EEG analysis, exercise analysis, physiological changes(increased heart rate, oxygen saturation, sweating, blood pressure changes) or combinations of these methods to detect epileptic seizures. At the same time, according to the seizure log, it is pointed out that the patients' self-evaluation is more unauthentic than the clinical EEG evaluation. For better clinical practice of epilepsy, innovative multimodal methods for automatic detection of epileptic seizures may speed up the detection of therapeutic outcomes and clinical epilepsy research.
引文
[1]Fisher RS,van Emde Boas W,Blume W,et al.Epileptic seizures and epilepsy:definitions proposed by the International League Against Epilepsy(ILAE)and the International Bureau for Epilepsy(IBE)[J].Epilepsia,2005(46):470-72.
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[3]Elger CE,Hoppe C.Diagnostic challenges in epilepsy:seizure under-reporting and seizure detection[J].Lancet Neurology,2018,17(3):279.
[4]RS Fisher,DE Blum,B DiVentura,et al.Seizure diaries for clinical research and practice:limitations and future prospects[J].Epilepsy Behav,2012(24):304-310.
[5]Beniczky S,Ryvlin P.Standards for testing and clinical validation of seizure detection devices[J].Epilepsia,2018,59(Suppl.1):9.
[6]Askamp J,van Putten MJ.Mobile EEG in epilepsy[J].Int J Psychophysiol,2014(91):30-35.
[7]Vel AV,Milosevic M,Bonroy B,et al.Longterm accelerometry-triggered video monitoring and detection of tonic-clonic and clonic seizures in a home environment:pilot study[J].Epilepsy Behav Case Rep,2016(5):66-71.
[8]Blachut B,Hoppe C,Surges R,et al.Subjective seizure counts by epilepsy clinical drug trial participants are not reliable[J].Epilepsy Behav,2017(67):122-127.
[9]Tewolde S,Oommen K,Lie DY,et al.Epileptic seizure detection and prediction based on continuous cerebral blood flow monitoring-a review[J].J Health Eng,2015(6):159-78.
[10]Hoppe C,Feldmann M,Blachut B,et al.Novel techniques for automated seizure registration:patients'wants and needs[J].Epilepsy Behav,2015(52):1-7.
[11]Pediaditis M,Tsiknakis M,Leitgeb N.Vision-based motion detection,analysis and recognition of epileptic seizures-a systematic review[J].Comput Methods Programs Biomed,2012(108):1133-1148.
[12]A Van de Vel,Cuppens K,Bonroy B,et al.Non-EEG seizure detection systems and potential SUDEP prevention:state of the art:review and update[J].Seizure,2016(41):141-153.
[13]Fulton S,Poppel KV,McGregor A,et al.Prospective study of 2 bed alarms for detection of nocturnal seizures[J].J Child Neurol,2013(28):1430-1433.
[14]Stefanidou M,Carlson C,Friedman D.The relationship between seizure onset zone and ictal tachycardia:an intracranial EEG study[J].Clin Neurophysiol,2015(126):2255-2260.
[15]Thomas SS,Nathan V,Zong C,et al.BioWatch:a noninvasive wrist-based blood pressure monitor that incorporates training techniques for posture and subject variability[J].IEEE J Biomed Health Inform,2016(20):1291-1300.
[16]Fisher RS,Afra P,Macken M,et al.Automatic vagus nerve stimulation triggered by ictal tachycardia:clinical outcomes and device performance-the U.S.E-37 trial[J].Neuromodulation,2016(19):188-195.
[17]Fisher RS,Bartfeld E,Cramer JA.Use of an online epilepsy diary to characterize repetitive seizures[J].Epilepsy Behav,2015(47):66-71.
[18]Fürbass F,Kampusch S,Kaniusas E,et al.Automatic multimodal detection for longterm seizure documentation in epilepsy[J].Clinical Neurophysiol,2017(128):1466-1472.
[19]Conradsen I,Beniczky S,Wolf P,et al.Automatic multi-modal intelligent seizure acquisition(MISA)system for detection of motor seizures from electromyographic data and motion data[J].Comput Methods Programs Biomed,2012(107):97-110.
[20]Cogan D,Birjandtalab J,Nourani M,et al.Multi-biosignal analysis for epileptic seizure monitoring[J].Int J Neural Syst,2017(27):1650031.
[21]Van de Vel A,Milosevic M,Bonroy B,et al.Long-term accelerometry-triggered video monitoring and detection of tonic-clonic and clonic seizures in a home environment:pilot study[J].Epilepsy Behav Case Rep,2016(5):66-71.
[22]Blum D E,Eskola J,BortzJ J,et al.Patient awareness of seizures[J].Neurology,1996(47):260-64.
[23]Cook MJ,O'Brien TJ,Berkovic SF,et al.Prediction of seizure likelihood with a longterm,implanted seizure advisory system inpatients with drug-resistant epilepsy:a first-in-man study[J].Lancet Neurol,2013(12):563-71.
[24]Poochikian-Sarkissian S,Tai P,del Campo M,et al.Patient awareness of seizures as documented in the epilepsy monitoring unit[J].Can J Neurosci Nurs,2009(31):22-23.
[25]McLean B,Shankar R,Hanna J,et al.Sudden unexpected death in epilepsy:measures to reduce risk[J].Pract Neurol,2017(17):13-20.
[2]E Beghi.Addressing the burden of epilepsy:many unmet needs[J].Pharmacol Res,2016(107):79-84.
[3]Elger CE,Hoppe C.Diagnostic challenges in epilepsy:seizure under-reporting and seizure detection[J].Lancet Neurology,2018,17(3):279.
[4]RS Fisher,DE Blum,B DiVentura,et al.Seizure diaries for clinical research and practice:limitations and future prospects[J].Epilepsy Behav,2012(24):304-310.
[5]Beniczky S,Ryvlin P.Standards for testing and clinical validation of seizure detection devices[J].Epilepsia,2018,59(Suppl.1):9.
[6]Askamp J,van Putten MJ.Mobile EEG in epilepsy[J].Int J Psychophysiol,2014(91):30-35.
[7]Vel AV,Milosevic M,Bonroy B,et al.Longterm accelerometry-triggered video monitoring and detection of tonic-clonic and clonic seizures in a home environment:pilot study[J].Epilepsy Behav Case Rep,2016(5):66-71.
[8]Blachut B,Hoppe C,Surges R,et al.Subjective seizure counts by epilepsy clinical drug trial participants are not reliable[J].Epilepsy Behav,2017(67):122-127.
[9]Tewolde S,Oommen K,Lie DY,et al.Epileptic seizure detection and prediction based on continuous cerebral blood flow monitoring-a review[J].J Health Eng,2015(6):159-78.
[10]Hoppe C,Feldmann M,Blachut B,et al.Novel techniques for automated seizure registration:patients'wants and needs[J].Epilepsy Behav,2015(52):1-7.
[11]Pediaditis M,Tsiknakis M,Leitgeb N.Vision-based motion detection,analysis and recognition of epileptic seizures-a systematic review[J].Comput Methods Programs Biomed,2012(108):1133-1148.
[12]A Van de Vel,Cuppens K,Bonroy B,et al.Non-EEG seizure detection systems and potential SUDEP prevention:state of the art:review and update[J].Seizure,2016(41):141-153.
[13]Fulton S,Poppel KV,McGregor A,et al.Prospective study of 2 bed alarms for detection of nocturnal seizures[J].J Child Neurol,2013(28):1430-1433.
[14]Stefanidou M,Carlson C,Friedman D.The relationship between seizure onset zone and ictal tachycardia:an intracranial EEG study[J].Clin Neurophysiol,2015(126):2255-2260.
[15]Thomas SS,Nathan V,Zong C,et al.BioWatch:a noninvasive wrist-based blood pressure monitor that incorporates training techniques for posture and subject variability[J].IEEE J Biomed Health Inform,2016(20):1291-1300.
[16]Fisher RS,Afra P,Macken M,et al.Automatic vagus nerve stimulation triggered by ictal tachycardia:clinical outcomes and device performance-the U.S.E-37 trial[J].Neuromodulation,2016(19):188-195.
[17]Fisher RS,Bartfeld E,Cramer JA.Use of an online epilepsy diary to characterize repetitive seizures[J].Epilepsy Behav,2015(47):66-71.
[18]Fürbass F,Kampusch S,Kaniusas E,et al.Automatic multimodal detection for longterm seizure documentation in epilepsy[J].Clinical Neurophysiol,2017(128):1466-1472.
[19]Conradsen I,Beniczky S,Wolf P,et al.Automatic multi-modal intelligent seizure acquisition(MISA)system for detection of motor seizures from electromyographic data and motion data[J].Comput Methods Programs Biomed,2012(107):97-110.
[20]Cogan D,Birjandtalab J,Nourani M,et al.Multi-biosignal analysis for epileptic seizure monitoring[J].Int J Neural Syst,2017(27):1650031.
[21]Van de Vel A,Milosevic M,Bonroy B,et al.Long-term accelerometry-triggered video monitoring and detection of tonic-clonic and clonic seizures in a home environment:pilot study[J].Epilepsy Behav Case Rep,2016(5):66-71.
[22]Blum D E,Eskola J,BortzJ J,et al.Patient awareness of seizures[J].Neurology,1996(47):260-64.
[23]Cook MJ,O'Brien TJ,Berkovic SF,et al.Prediction of seizure likelihood with a longterm,implanted seizure advisory system inpatients with drug-resistant epilepsy:a first-in-man study[J].Lancet Neurol,2013(12):563-71.
[24]Poochikian-Sarkissian S,Tai P,del Campo M,et al.Patient awareness of seizures as documented in the epilepsy monitoring unit[J].Can J Neurosci Nurs,2009(31):22-23.
[25]McLean B,Shankar R,Hanna J,et al.Sudden unexpected death in epilepsy:measures to reduce risk[J].Pract Neurol,2017(17):13-20.