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心电图(Electrocardiogram
ECG)作为一种辅助检查应用于体检、疾病筛查、病情评估以及术后随访等方方面面。与此同时,近年来人工智能技术逐渐兴起。在这一技术浪潮下,人工智能辅助心电图诊断(Artificial intelligence-enabled Electrocardiogram
AI-ECG)正展现出广泛的应用前景。在这里,我们简要概述人工智能心电图技术在心律失常、心肌缺血和心肌梗死、心血管系统的其他情况以及心血管系统以外情况的应用,并由此讨论相关的研究前景。
Wang Chen-Xi,Zhang Yi-Chu,Kong Qi-Lin,Wu Zu-Xiang,Yang Ping-Ping,Zhu Cai-Hua,Chen Shou-Lin,Wu Tao,Wu Qing-Hua,Chen Qi.Development and validation of a deep learning model to screen hypokalemia from electrocardiogram in emergency patients[J].中华医学杂志英文版,2021(19).
Sau Arunashis,Ibrahim Safi,Kramer Daniel B.,Waks Jonathan W.,Qureshi Norman,Koa-Wing Michael,Keene Daniel,Malcolme-Lawes Louisa,Lefroy David C.,Linton Nicholas W.F.,Lim Phang Boon,Varnava Amanda,Whinnett Zachary I.,Kanagaratnam Prapa,Mandic Danilo,Peters Nicholas S.,Ng Fu Siong.Artificial intelligence–enabled electrocardiogram to distinguish atrioventricular re-entrant tachycardia from atrioventricular nodal re-entrant tachycardia[J].Cardiovascular Digital Health Journal,2023.
Nakamura Tomofumi,Aiba Takeshi,Shimizu Wataru,Furukawa Tetsushi,Sasano Tetsuo.Prediction of the Presence of Ventricular Fibrillation From a Brugada Electrocardiogram Using Artificial Intelligence.[J].Circulation journal : official journal of the Japanese Circulation Society,2022.
Noseworthy Peter A,Attia Zachi I,Behnken Emma M,Giblon Rachel E,Bews Katherine A,Liu Sijia,Gosse Tara A,Linn Zachery D,Deng Yihong,Yin Jun,Gersh Bernard J,Graff-Radford Jonathan,Rabinstein Alejandro A,Siontis Konstantinos C,Friedman Paul A,Yao Xiaoxi.Artificial intelligence-guided screening for atrial fibrillation using electrocardiogram during sinus rhythm: a prospective non-randomised interventional trial[J].The Lancet,2022.
Angelaki Eleni,Barmparis Georgios D.,Kochiadakis George,Maragkoudakis Spyros,Savva Eirini,Kampanieris Emmanuel,Kassotakis Spyros,Kalomoirakis Petros,Vardas Panos,Tsironis Giorgos P.,Marketou Maria E..Artificial intelligence-based opportunistic screening for the detection of arterial hypertension through ECG signals[J].Journal of Hypertension,2022.
Liu Chih Min,Hsieh Ming En,Hu Yu Feng,Wei Tzu Yin,Wu I Chien,Chen Pei Fen,Lin Yenn Jiang,Higa Satoshi,Yagi Nobumori,Chen Shih Ann,Tseng Vincent S..Artificial Intelligence–Enabled Model for Early Detection of Left Ventricular Hypertrophy and Mortality Prediction in Young to Middle-Aged Adults[J].Circulation: Cardiovascular Quality and Outcomes,2022.
Eckstein Max L.,Zimmermann Paul,Erlmann Maximilian P.,Wachsmuth Nadine B.,Haupt Sandra,Zimmer Rebecca T.,Schierbauer Janis,Herz Daniel,Aberer Felix,Sourij Harald,ObermayerPietsch Barbara,Moser Othmar.Glucose and Fructose Supplementation and Their Acute Effects on Electrocardiographic Time Intervals during Anaerobic Cycling Exercise in Healthy Individuals: A Secondary Outcome Analysis of a Double-Blind Randomized Crossover-Controlled Trial[J].Nutrients,2022.
Zhao Wei,Zhu Rui,Zhang Jian,Mao Yangming,Chen Hongwu,Ju Weizhu,Li Mingfang,Yang Gang,Gu Kai,Wang Zidun,Liu Hailei,Shi Jiaojiao,Jiang Xiaohong,Kojodjojo Pipin,Chen Minglong,Zhang Fengxiang.Machine learning for distinguishing right from left premature ventricular contractions origin using surface electrocardiogram features.[J].Heart rhythm,2022.
Liu ChihMin,Shih Edward S C,Chen JhihYu,Huang ChihHan,Wu IChien,Chen PeiFen,Higa Satoshi,Yagi Nobumori,Hu YuFeng,Hwang MingJing,Chen ShihAnn.Artificial Intelligence-Enabled Electrocardiogram Improves the Diagnosis and Prediction of Mortality in Patients With Pulmonary Hypertension.[J].JACC. Asia,2022(3).
Vozzi F,Dimitri GM,Piacenti M,Zucchelli G,Solarino G,Nesti M,Pieragnoli P,Gallicchio C,Persiani E,Morales MA,Micheli A.Artificial intelligence algorithms for the recognition of Brugada type 1 pattern on standard 12-leads ECG[J].Europace,2022.
Su Xiao Feng,Fan Na,Yang Xue Mei,Song Jun Mei,Peng Qiong Hui,Liu Xin.A Novel Electrocardiography Model for the Diagnosis of Acute Pulmonary Embolism[J].Frontiers in Cardiovascular Medicine,2022.
Sangha Veer,Mortazavi Bobak J,Haimovich Adrian D,Ribeiro Antônio H,Brandt Cynthia A,Jacoby Daniel L,Schulz Wade L,Krumholz Harlan M,Ribeiro Antonio Luiz P,Khera Rohan.Automated multilabel diagnosis on electrocardiographic images and signals.[J].Nature communications,2022.
Lin Chin,Chau Tom,Lin Chin Sheng,Shang Hung Sheng,Fang Wen Hui,Lee Ding Jie,Lee Chia Cheng,Tsai Shi Hung,Wang Chih Hung,Lin Shih Hua.Point-of-care artificial intelligence-enabled ECG for dyskalemia: a retrospective cohort analysis for accuracy and outcome prediction[J].npj Digital Medicine,2022(1).
Urtnasan Erdenebayar,Joo Eun Yeon,Lee Kyu Hee.AI-Enabled Algorithm for Automatic Classification of Sleep Disorders Based on Single-Lead Electrocardiogram[J].Diagnostics,2021.
Yang Yikai,Truong Nhan Duy,Maher Christina,Nikpour Armin,Kavehei Omid.A comparative study of AI systems for epileptic seizure recognition based on EEG or ECG.[J].Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference,2021.
Liu WeiTing,Lin ChinSheng,Tsao TienPing,Lee ChiaCheng,Cheng ChengChung,Chen JiannTorng,Tsai ChienSung,Lin WeiShiang,Lin Chin.A Deep-Learning Algorithm-Enhanced System Integrating Electrocardiograms and Chest X-rays for Diagnosing Aortic Dissection.[J].The Canadian journal of cardiology,2021.
Senoner Thomas,Pfeifer Bernhard,Barbieri Fabian,Adukauskaite Agne,Dichtl Wolfgang,Bauer Axel,Hintringer Florian.Identifying the Location of an Accessory Pathway in Pre-Excitation Syndromes Using an Artificial Intelligence-Based Algorithm[J].Journal of Clinical Medicine,2021.
Cordeiro Renato,Karimian Nima,Park Younghee.Hyperglycemia Identification Using ECG in Deep Learning Era[J].Sensors,2021.
Gramegna Alex,Giudici Paolo.SHAP and LIME: An Evaluation of Discriminative Power in Credit Risk[J].Frontiers in Artificial Intelligence,2021.
Cohen-Shelly Michal,Attia Zachi I,Friedman Paul A,Ito Saki,Essayagh Benjamin A,Ko Wei-Yin,Murphree Dennis H,Michelena Hector I,Enriquez-Sarano Maurice,Carter Rickey E,Johnson Patrick W,Noseworthy Peter A,Lopez-Jimenez Francisco,Oh Jae K.Electrocardiogram screening for aortic valve stenosis using artificial intelligence[J].European Heart Journal,2021.
Grogan Martha,LopezJimenez Francisco,CohenShelly Michal,Dispenzieri Angela,Attia Zachi I,Abou Ezzedine Omar F,Lin Grace,Kapa Suraj,Borgeson Daniel D,Friedman Paul A,Murphree Dennis H.Artificial Intelligence-Enhanced Electrocardiogram for the Early Detection of Cardiac Amyloidosis.[J].Mayo Clinic proceedings,2021.
Chen Xiehui,Guo Wenqin,Zhao Lingyue,Huang Weichao,Wang Lili,Sun Aimei,Li Lang,Mo Fangrui.Acute Myocardial Infarction Detection Using Deep Learning-Enabled Electrocardiograms[J].Frontiers in Cardiovascular Medicine,2021.
Jo YongYeon,Kwon JoonMyoung,Jeon KiHyun,Cho YongHyeon,Shin JaeHyun,Lee YoonJi,Jung MinSeung,Ban JangHyeon,Kim KyungHee,Lee Soo Youn,Park Jinsik,Oh ByungHee.Artificial intelligence to diagnose paroxysmal supraventricular tachycardia using electrocardiography during normal sinus rhythm.[J].European heart journal. Digital health,2021.
Yao Xiaoxi,Rushlow David R,Inselman Jonathan W,McCoy Rozalina G,Thacher Thomas D,Behnken Emma M,Bernard Matthew E,Rosas Steven L,Akfaly Abdulla,Misra Artika,Molling Paul E,Krien Joseph S,Foss Randy M,Barry Barbara A,Siontis Konstantinos C,Kapa Suraj,Pellikka Patricia A,LopezJimenez Francisco,Attia Zachi I,Shah Nilay D,Friedman Paul A,Noseworthy Peter A.Artificial intelligence-enabled electrocardiograms for identification of patients with low ejection fraction: a pragmatic, randomized clinical trial.[J].Nature medicine,2021.
Hiroki Mori,Kei Inai,Hisashi Sugiyama,Yoshihiro Muragaki.Diagnosing Atrial Septal Defect from Electrocardiogram with Deep Learning[J].Pediatric Cardiology,2021.
Zhang Pengfei,Li Fenghua,Zhao Rongjian,Zhou Ruishi,Du Lidong,Zhao Zhan,Chen Xianxiang,Fang Zhen.Real-Time Psychological Stress Detection According to ECG Using Deep Learning[J].Applied Sciences,2021.
Liu WenCheng,Lin ChinSheng,Tsai ChienSung,Tsao TienPing,Cheng ChengChung,Liou JunTing,Lin WeiShiang,Cheng ShuMeng,Lou YuSheng,Lee ChiaCheng,Lin Chin.A Deep-Learning Algorithm for Detecting Acute Myocardial Infarction.[J].EuroIntervention : journal of EuroPCR in collaboration with the Working Group on Interventional Cardiology of the European Society of Cardiology,2021.
Giudicessi R. John,Schram Matthew,Bos Martijn J.,Galloway D. Conner,Shreibati B. Jacqueline,Johnson W. Patrick,Carter E. Rickey,Disrud W. Levi,Kleiman Robert,Attia I. Zachi,Noseworthy A. Peter,Friedman A. Paul,Albert E. David,Ackerman J. Michael.Artificial Intelligence-Enabled Assessment of the Heart Rate Corrected QT Interval Using a Mobile Electrocardiogram Device[J].Circulation,2021.
Zheng Jianwei,Fu Guohua,Abudayyeh Islam,Yacoub Magdi,Chang Anthony,Feaster William W.,Ehwerhemuepha Louis,El Askary Hesham,Du Xianfeng,He Bin,Feng Mingjun,Yu Yibo,Wang Binhao,Liu Jing,Yao Hai,Chu Huimin,Rakovski Cyril.A High-Precision Machine Learning Algorithm to Classify Left and Right Outflow Tract Ventricular Tachycardia[J].Frontiers in Physiology,2021.
Bos J. Martijn,Attia Zachi I.,Albert David E.,Noseworthy Peter A.,Friedman Paul A.,Ackerman Michael J..Use of Artificial Intelligence and Deep Neural Networks in Evaluation of Patients With Electrocardiographically Concealed Long QT Syndrome From the Surface 12-Lead Electrocardiogram[J].JAMA Cardiology,2021.
Hongling Zhu,Cheng Cheng,Hang Yin,Xingyi Li,Ping Zuo,Jia Ding,Fan Lin,Jingyi Wang,Beitong Zhou,Yonge Li,Shouxing Hu,Yulong Xiong,Binran Wang,Guohua Wan,Xiaoyun Yang,Ye Yuan.Automatic multilabel electrocardiogram diagnosis of heart rhythm or conduction abnormalities with deep learning: a cohort study[J].The Lancet Digital Health,2020.
Joon-myoung Kwon,Younghoon Cho,Ki-Hyun Jeon,Soohyun Cho,Kyung-Hee Kim,Seung Don Baek,Soomin Jeung,Jinsik Park,Byung-Hee Oh.A deep learning algorithm to detect anaemia with ECGs: a retrospective, multicentre study[J].The Lancet Digital Health,2020.
Lin Gen-Min,Lu Henry Horng-Shing.A 12-Lead ECG-Based System With Physiological Parameters and Machine Learning to Identify Right Ventricular Hypertrophy in Young Adults.[J].IEEE journal of translational engineering in health and medicine,2020.
Wei-Yin Ko,Konstantinos C. Siontis,Zachi I. Attia,Rickey E. Carter,Suraj Kapa,Steve R. Ommen,Steven J. Demuth,Michael J. Ackerman,Bernard J. Gersh,Adelaide M. Arruda-Olson,Jeffrey B. Geske,Samuel J. Asirvatham,Francisco Lopez-Jimenez,Rick A. Nishimura,Paul A. Friedman,Peter A. Noseworthy.Detection of Hypertrophic Cardiomyopathy Using a Convolutional Neural Network-Enabled Electrocardiogram[J].Journal of the American College of Cardiology,2020.
Rohan Panda,Sahil Jain,RK Tripathy,U. Rajendra Acharya.Detection of shockable ventricular cardiac arrhythmias from ECG signals using FFREWT filter-bank and deep convolutional neural network[J].Computers in Biology and Medicine,2020.
Ahran D. Arnold,James P. Howard,Aiswarya Gopi,Cheng Pou Chan,Nadine Ali,Daniel Keene,Matthew J. Shun-Shin,Yousif Ahmad,Ian J. Wright,Fu Siong Ng,Nick W.F. Linton,Prapa Kanagaratnam,Nicholas S. Peters,Daniel Rueckert,Darrel P. Francis,Zachary I. Whinnett.Discriminating electrocardiographic responses to His-bundle pacing using machine learning[J].Cardiovascular Digital Health Journal,2020.
Department of Cardiovascular Medicine (Z.I.A., P.A.F., P.A.N., F.L-.J., P.A.P., T.M.M., S.J.A., S.K.), Mayo Clinic College of Medicine, Rochester, MN.,Department of Cardiovascular Medicine (Z.I.A., P.A.F., P.A.N., F.L-.J., P.A.P., T.M.M., S.J.A., S.K.), Mayo Clinic College of Medicine, Rochester, MN.,Department of Cardiovascular Medicine (Z.I.A., P.A.F., P.A.N., F.L-.J., P.A.P., T.M.M., S.J.A., S.K.), Mayo Clinic College of Medicine, Rochester, MN.,Department of Cardiovascular Medicine (Z.I.A., P.A.F., P.A.N., F.L-.J., P.A.P., T.M.M., S.J.A., S.K.), Mayo Clinic College of Medicine, Rochester, MN.,Department of Business Development (D.J.L., G.S.), Mayo Clinic College of Medicine, Rochester, MN.,Department of Business Development (D.J.L., G.S.), Mayo Clinic College of Medicine, Rochester, MN.,Department of Cardiovascular Medicine (Z.I.A., P.A.F., P.A.N., F.L-.J., P.A.P., T.M.M., S.J.A., S.K.), Mayo Clinic College of Medicine, Rochester, MN.,Department of Cardiovascular Medicine (Z.I.A., P.A.F., P.A.N., F.L-.J., P.A.P., T.M.M., S.J.A., S.K.), Mayo Clinic College of Medicine, Rochester, MN.,Department of Cardiovascular Medicine (Z.I.A., P.A.F., P.A.N., F.L-.J., P.A.P., T.M.M., S.J.A., S.K.), Mayo Clinic College of Medicine, Rochester, MN.,Department of Health Sciences Research (C.G.S.), Mayo Clinic College of Medicine, Rochester, MN.,Health Sciences Research, Mayo Clinic College of Medicine, Jacksonville, FL (R.E.C.).,Department of Cardiovascular Medicine (Z.I.A., P.A.F., P.A.N., F.L-.J., P.A.P., T.M.M., S.J.A., S.K.), Mayo Clinic College of Medicine, Rochester, MN..Age and Sex Estimation Using Artificial Intelligence From Standard 12-Lead ECGs.[J].Circulation. Arrhythmia and electrophysiology,2019.
Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA,Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA,Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA,Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA,Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA,Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA,Department of Health Sciences Research, Mayo Clinic, Jacksonville, FL, USA,Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA,Department of Neurology, Mayo Clinic, Rochester, MN, USA,Department of Radiology, Mayo Clinic, Rochester, MN, USA,Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA,Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.An artificial intelligence-enabled ECG algorithm for the identification of patients with atrial fibrillation during sinus rhythm: a retrospective analysis of outcome prediction[J].The Lancet,2019.
Conner D. Galloway,Alexander V. Valys,Jacqueline B. Shreibati,Daniel L. Treiman,Frank L. Petterson,Vivek P. Gundotra,David E. Albert,Zachi I. Attia,Rickey E. Carter,Samuel J. Asirvatham,Michael J. Ackerman,Peter A. Noseworthy,John J. Dillon,Paul A. Friedman.Development and Validation of a Deep-Learning Model to Screen for Hyperkalemia From the Electrocardiogram[J].JAMA Cardiology,2019.
Hannun Awni Y,Rajpurkar Pranav,Haghpanahi Masoumeh,Tison Geoffrey H,Bourn Codie,Turakhia Mintu P,Ng Andrew Y.Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network.[J].Nature medicine,2019.
Simjanoska Monika,Gjoreski Martin,Gams Matjaž,Madevska Bogdanova Ana.Non-Invasive Blood Pressure Estimation from ECG Using Machine Learning Techniques.[J].Sensors (Basel, Switzerland),2018.
Aldo Pietro Maggioni.Epidemiology of Heart Failure in Europe[J].Heart Failure Clinics,2015.
Rory Collins.What makes UK Biobank special?[J].The Lancet,2012.
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