GL検索 v0.1.0
画像は 97 ページを描画したものです
page 97

p.97 抽出テキスト

1058. Stehlik J, Schmalfuss C, Bozkurt B, Nativi-Nicolau J, Wohlfahrt P, Wegerich S, et al. Continuous wearable monitoring analytics predict heart failure hospitalization: the LINK-HF multicenter study. Circ Heart Fail 2020;13:e006513. https://doi.org/10. 1161/CIRCHEARTFAILURE.119.006513 1059. Ganne C, Talkad SN, Srinivas D, Somanna S. Ruptured blebs and racing hearts: autonomic cardiac changes in neurosurgeons during microsurgical clipping of aneurysms. Br J Neurosurg 2016;30:450–2. https://doi.org/10.3109/02688697.2016.1159656 1060. Smith WM, Riddell F, Madon M, Gleva MJ. Comparison of diagnostic value using a small, single channel, P-wave centric sternal ECG monitoring patch with a standard 3-lead Holter system over 24 hours. Am Heart J 2017;185:67–73. https://doi.org/ 10.1016/j.ahj.2016.11.006 1061. Olson JA, Fouts AM, Padanilam BJ, Prystowsky EN. Utility of mobile cardiac outpatient telemetry for the diagnosis of palpitations, presyncope, syncope, and the assessment of therapy efficacy. J Cardiovasc Electrophysiol 2007;18:473–7. https://doi. org/10.1111/j.1540-8167.2007.00779.x 1062. Derkac WM, Finkelmeier JR, Horgan DJ, Hutchinson MD. Diagnostic yield of asymptomatic arrhythmias detected by mobile cardiac outpatient telemetry and autotrigger looping event cardiac monitors. J Cardiovasc Electrophysiol 2017;28:1475–8. https:// doi.org/10.1111/jce.13342 1063. Teplitzky BA, McRoberts M, Ghanbari H. Deep learning for comprehensive ECG annotation. Heart Rhythm 2020;17:881–8. https://doi.org/10.1016/j.hrthm.2020.02.015 1064. Jeon E, Oh K, Kwon S, Son H, Yun Y, Jung ES, et al. A lightweight deep learning model for fast electrocardiographic beats classification with a wearable cardiac monitor: development and validation study. JMIR Med Inform 2020;8:e17037. https://doi.org/10. 2196/17037 1065. Breteler MJMM, Huizinga E, van Loon K, Leenen LPH, Dohmen DAJ, Kalkman CJ, et al. Reliability of wireless monitoring using a wearable patch sensor in high-risk surgical patients at a step-down unit in The Netherlands: a clinical validation study. BMJ Open 2018;8:e020162. https://doi.org/10.1136/bmjopen-2017-020162 1066. Hopkins L, Stacey B, Robinson DBT, James OP, Brown C, Egan RJ, et al. Consumer-grade biosensor validation for examining stress in healthcare professionals. Physiol Rep 2020;8:e14454. https://doi.org/10.14814/phy2.14454 1067. Steinhubl SR, Waalen J, Edwards AM, Ariniello LM, Mehta RR, Ebner GS, et al. Effect of a home-based wearable continuous ECG monitoring patch on detection of undiagnosed atrial fibrillation: the mSToPS randomized clinical trial. JAMA 2018;320: 146–55. https://doi.org/10.1001/jama.2018.8102 1068. Elliot CA, Hamlin MJ, Lizamore CA. Validity and reliability of the hexoskin wearable biometric vest during maximal aerobic power testing in elite cyclists. J Strength Cond Res 2019;33:1437–44. https://doi.org/10.1519/JSC.0000000000002005 1069. Eysenck W, Freemantle N, Sulke N. A randomized trial evaluating the accuracy of AF detection by four external ambulatory ECG monitors compared to permanent pacemaker AF detection. J Interv Card Electrophysiol 2020;57:361–9. https://doi.org/10. 1007/s10840-019-00515-0 1070. Fabregat-Andres O, Munoz-Macho A, Adell-Beltran G, Ibanez-Catala X, Macia A, Facila L. Evaluation of a new shirt-based electrocardiogram device for cardiac screening in soccer players: comparative study with treadmill ergospirometry. Cardiol Res 2014;5:101–7. https://doi.org/10.14740/cr333w 1071. Feito Y, Moriarty TA, Mangine G, Monahan J. The use of a smart-textile garment during high-intensity functional training: a pilot study. J Sports Med Phys Fitness 2019;59: 947–54. https://doi.org/10.23736/S0022-4707.18.08689-9 1072. Pagola J, Juega J, Francisco-Pascual J, Moya A, Sanchis M, Bustamante A, et al. Yield of atrial fibrillation detection with textile wearable Holter from the acute phase of stroke: pilot study of crypto-AF registry. Int J Cardiol 2018;251:45–50. https://doi. org/10.1016/j.ijcard.2017.10.063 1073. Lau JK, Lowres N, Neubeck L, Brieger DB, Sy RW, Galloway CD, et al. iphone ECG application for community screening to detect silent atrial fibrillation: a novel technology to prevent stroke. Int J Cardiol 2013;165:193–4. https://doi.org/10.1016/j.ijcard. 2013.01.220 1074. Bumgarner JM, Lambert CT, Hussein AA, Cantillon DJ, Baranowski B, Wolski K, et al. Smartwatch algorithm for automated detection of atrial fibrillation. J Am Coll Cardiol 2018;71:2381–8. https://doi.org/10.1016/j.jacc.2018.03.003 1075. Lubitz SA, Faranesh AZ, Atlas SJ, McManus DD, Singer DE, Pagoto S, et al. Rationale and design of a large population study to validate software for the assessment of atrial fibrillation from data acquired by a consumer tracker or smartwatch: the Fitbit heart study. Am Heart J 2021;238:16–26. https://doi.org/10.1016/j.ahj.2021.04.003 1076. Perez MV, Mahaffey KW, Hedlin H, Rumsfeld JS, Garcia A, Ferris T, et al. Large-scale assessment of a smartwatch to identify atrial fibrillation. N Engl J Med 2019;381: 1909–17. https://doi.org/10.1056/NEJMoa1901183 1077. Saghir N, Aggarwal A, Soneji N, Valencia V, Rodgers G, Kurian T. A comparison of manual electrocardiographic interval and waveform analysis in lead 1 of 12-lead ECG and apple watch ECG: a validation study. Cardiovasc Digit Health J 2020;1: 30–6. https://doi.org/10.1016/j.cvdhj.2020.07.002 1078. Seshadri DR, Bittel B, Browsky D, Houghtaling P, Drummond CK, Desai MY, et al. Accuracy of apple watch for detection of atrial fibrillation. Circulation 2020;141: 702–3. https://doi.org/10.1161/CIRCULATIONAHA.119.044126 1079. Zhang H, Zhang J, Li HB, Chen YX, Yang B, Guo YT, et al. Validation of single centre pre-mobile atrial fibrillation apps for continuous monitoring of atrial fibrillation in a real-world setting: pilot cohort study. J Med Internet Res 2019;21:e14909. https:// doi.org/10.2196/14909 1080. Fan YY, Li YG, Li J, Cheng WK, Shan ZL, Wang YT, et al. Diagnostic performance of a smart device with photoplethysmography technology for atrial fibrillation detection: pilot study (Pre-mAFA II registry). JMIR Mhealth Uhealth 2019;7:e11437. https://doi. org/10.2196/11437 1081. Brito R, Mondouagne LP, Stettler C, Combescure C, Burri H. Automatic atrial fibrillation and flutter detection by a handheld ECG recorder, and utility of sequential finger and precordial recordings. J Electrocardiol 2018;51:1135–40. https://doi.org/10. 1016/j.jelectrocard.2018.10.093 1082. Desteghe L, Raymaekers Z, Lutin M, Vijgen J, Dilling-Boer D, Koopman P, et al. Performance of handheld electrocardiogram devices to detect atrial fibrillation in a cardiology and geriatric ward setting. Europace 2017;19:29–39. https://doi.org/10. 1093/europace/euw025 1083. Nigolian A, Dayal N, Nigolian H, Stettler C, Burri H. Diagnostic accuracy of multi-lead ECGs obtained using a pocket-sized bipolar handheld event recorder. J Electrocardiol 2018;51:278–81. https://doi.org/10.1016/j.jelectrocard.2017.11.004 1084. Magnusson P, Lyren A, Mattsson G. Diagnostic yield of chest and thumb ECG after cryptogenic stroke, Transient ECG Assessment in Stroke Evaluation (TEASE): an observational trial. BMJ Open 2020;10:e037573. https://doi.org/10.1136/bmjopen-2020- 037573 1085. Carnlöf C, Schenck-Gustafsson K, Jensen-Urstad M, Insulander P. Instant electrocardiogram feedback with a new digital technique reduces symptoms caused by palpitations and increases health-related quality of life (the RedHeart study). Eur J Cardiovasc Nurs 2021;20:402–10. https://doi.org/10.1093/eurjcn/zvaa031 1086. Haverkamp HT, Fosse SO, Schuster P. Accuracy and usability of single-lead ECG from smartphones—a clinical study. Indian Pacing Electrophysiol J 2019;19:145–9. https:// doi.org/10.1016/j.ipej.2019.02.006 1087. Attia ZI, Kapa S, Lopez-Jimenez F, McKie PM, Ladewig DJ, Satam G, et al. Screening for cardiac contractile dysfunction using an artificial intelligence-enabled electrocardiogram. Nat Med 2019;25:70–4. https://doi.org/10.1038/s41591-018-0240-2 1088. Bekker CL, Noordergraaf F, Teerenstra S, Pop G, van den Bemt BJF. Diagnostic accuracy of a single-lead portable ECG device for measuring QTc prolongation. Ann Noninvasive Electrocardiol 2020;25:e12683. https://doi.org/10.1111/anec.12683 1089. Kaleschke G, Hoffmann B, Drewitz I, Steinbeck G, Naebauer M, Goette A, et al. Prospective, multicentre validation of a simple, patient-operated electrocardiographic system for the detection of arrhythmias and electrocardiographic changes. Europace 2009;11:1362–8. https://doi.org/10.1093/europace/eup262 1090. Guan J, Wang A, Song W, Obore N, He P, Fan S, et al. Screening for arrhythmia with the new portable single-lead electrocardiographic device (SnapECG): an application study in community-based elderly population in Nanjing, China. Aging Clin Exp Res 2021;33:133–40. https://doi.org/10.1007/s40520-020-01512-4 1091. Svennberg E, Stridh M, Engdahl J, Al-Khalili F, Friberg L, Frykman V, et al. Safe automatic one-lead electrocardiogram analysis in screening for atrial fibrillation. Europace 2017;19:1449–53. https://doi.org/10.1093/europace/euw286 1092. Musat DL, Milstein N, Mittal S. Implantable loop recorders for cryptogenic stroke (plus real-world atrial fibrillation detection rate with implantable loop recorders). Card Electrophysiol Clin 2018;10:111–8. https://doi.org/10.1016/j.ccep.2017.11.011 1093. Sakhi R, Theuns D, Szili-Torok T, Yap SC. Insertable cardiac monitors: current indications and devices. Expert Rev Med Devices 2019;16:45–55. https://doi.org/10.1080/ 17434440.2018.1557046 1094. Tomson TT, Passman R. The reveal LINQ insertable cardiac monitor. Expert Rev Med Devices 2015;12:7–18. https://doi.org/10.1586/17434440.2014.953059 1095. Ciconte G, Saviano M, Giannelli L, Calovic Z, Baldi M, Ciaccio C, et al. Atrial fibrillation detection using a novel three-vector cardiac implantable monitor: the atrial fibrillation detect study. Europace 2017;19:1101–8. https://doi.org/10.1093/europace/ euw181 1096. Hindricks G, Pokushalov E, Urban L, Taborsky M, Kuck KH, Lebedev D, et al. Performance of a new leadless implantable cardiac monitor in detecting and quantifying atrial fibrillation: results of the XPECT trial. Circ Arrhythm Electrophysiol 2010;3: 141–7. https://doi.org/10.1161/CIRCEP.109.877852 1097. Mittal S, Rogers J, Sarkar S, Koehler J, Warman EN, Tomson TT, et al. Real-world performance of an enhanced atrial fibrillation detection algorithm in an insertable cardiac monitor. Heart Rhythm 2016;13:1624–30. https://doi.org/10.1016/j.hrthm.2016.05. 010 1098. Nölker G, Mayer J, Boldt LH, Seidl K VVAND, Massa T, Kollum M, et al. Performance of an implantable cardiac monitor to detect atrial fibrillation: results of the DETECT AF study. J Cardiovasc Electrophysiol 2016;27:1403–10. https://doi.org/10.1111/jce. 13089 1099. Sanders P, Pürerfellner H, Pokushalov E, Sarkar S, Di Bacco M, Maus B, et al. Performance of a new atrial fibrillation detection algorithm in a miniaturized insertable cardiac monitor: results from the reveal LINQ usability study. Heart Rhythm 2016;13:1425–30. https://doi.org/10.1016/j.hrthm.2016.03.005 Downloaded from academic.oup.com/eurheartj/article/45/36/3314/7738779 by guest on 07 October 2026