实用老年医学 ›› 2023, Vol. 37 ›› Issue (9): 886-889.doi: 10.3969/j.issn.1003-9198.2023.09.006
闫玉峰, 林松
收稿日期:
2023-04-20
出版日期:
2023-09-20
发布日期:
2023-09-21
通讯作者:
林松,Email:linsong19711991@sina.com
作者简介:
林松 教授
Received:
2023-04-20
Online:
2023-09-20
Published:
2023-09-21
中图分类号:
闫玉峰, 林松. 人工智能在心脏康复中的应用[J]. 实用老年医学, 2023, 37(9): 886-889.
[1] 中国心血管健康与疾病报告编写组.中国心血管健康与疾病报告 2021概要 [J].中国循环杂志, 2022,37(6):553-578. [2] TAYLOR R S, DALAL H M, MCDONAGH S T J. The role of cardiac rehabilitation in improving cardiovascular outcomes [J]. Nat Rev Cardiol, 2022, 19(3): 180-194. [3] KRITTANAWONG C, ZHANG H, WANG Z, et al. Artificial intelligence in precision cardiovascular medicine [J]. J Am Coll Cardiol, 2017, 69(21): 2657-2664. [4] HENGLIN M, STEIN G, HUSHCHA P V, et al. Machine learning approaches in cardiovascular imaging [J]. Circ Cardiovasc Imaging, 2017, 10(10):e005614. [5] 袁丽霞,丁荣晶. 中国心脏康复与二级预防指南解读[J]. 中国循环杂志, 2019, 34(S1): 86-90. [6] 李菊红,李亮,张秀娟,等.冠心病介入术后患者心脏康复的研究进展[J].中西医结合心血管病杂志,2017, 5(33): 12-13. [7] SIMON M, KORN K, CHO L, et al. Cardiac rehabilitation: a class 1 recommendation [J]. Cleve Clin J Med, 2018, 85(7): 551-558. [8] MCMAHON S R, ADES P A, THOMPSON P D. The role of cardiac rehabilitation in patients with heart disease [J]. Trends Cardiovasc Med, 2017, 27(6): 420-425. [9] TSAY D, PATTERSON C. From machine learning to artificial intelligence applications in cardiac care [J]. Circulation, 2018, 138(22): 2569-2575. [10] LEE H E, WANG W C, LU S W, et al. Home-based mobile cardio-pulmonary rehabilitation consultant system [J]. Annu Int Conf IEEE Eng Med Biol Soc, 2011, 2011: 989-992. [11] BIE R, XU S, ZHANG G, et al. Efficient fine arrhythmia detection based on DCG P-T features [J]. J Med Syst, 2016, 40(7): 168. [12] KWON J M, KIM K H, JEON K H, et al. Artificial intelligence algorithm for predicting cardiac arrest using electrocardiography [J]. Scand J Trauma Resusc Emerg Med, 2020, 28(1): 98. [13] CHEN J, PU H, WANG D. Artificial intelligence analysis of EEG amplitude in intensive heart care [J]. J Healthc Eng, 2021, 2021: 6284035. [14] DE CANNIÈRE H, CORRADI F, SMEETS C J P, et al. Wearable monitoring and interpretable machine learning can objectively track progression in patients during cardiac rehabilitation [J]. Sensors: Basel, 2020, 20(12):3601. [15] AWAN S E, SOHEL F, SANFILIPPO F M, et al. Machine learning in heart failure: ready for prime time [J]. Curr Opin Cardiol, 2018, 33(2): 190-195. [16] SHAH S J, KATZ D H, SELVARAJ S, et al. Phenomapping for novel classification of heart failure with preserved ejection fraction [J]. Circulation, 2015, 131(3): 269-279. [17] CIKES M, SANCHEZ-MARTINEZ S, CLAGGETT B, et al. Machine learning-based phenogrouping in heart failure to identify responders to cardiac resynchronization therapy [J]. Eur J Heart Fail, 2019, 21(1): 74-85. [18] DOR-HAIM H, KATZBURG S, LEIBOWITZ D. A novel digital platform for a monitored home-based cardiac rehabilitation program [J]. J Vis Exp, 2019 (146). DOI: 10.3791/59019. [19] VOURGANAS I, STANKOVIC V, STANKOVIC L. Individualised responsible artificial intelligence for home-based rehabilitation [J]. Sensors: Basel, 2020, 21(1):2. [20] MENEU T, MARTINEZ-ROMERO A, MARTINEZ-MILLANA A, et al. An integrated advanced communication and coaching platform for enabling personalized management of chronic cardiovascular diseases [J]. Annu Int Conf IEEE Eng Med Biol Soc, 2011, 2011: 1563-1566. [21] SCHINDELHOLZ M, HUNT K J. Feedback control of heart rate during robotics-assisted treadmill exercise [J]. Technol Health Care, 2012, 20(3): 179-194. [22] LARA J S, CASAS J, AGUIRRE A, et al. Human-robot sensor interface for cardiac rehabilitation [J]. IEEE Int Conf Rehabil Robot, 2017, 2017: 1013-1018. [23] SOTIRAKOS S, FOUDA B, MOHAMED RAZIF N A, et al. Harnessing artificial intelligence in cardiac rehabilitation, a systematic review [J]. Future Cardiol, 2022, 18(2): 154-164. [24] AGUIRRE A, CASAS J, CESPEDES N, et al. Feasibility study: towards estimation of fatigue level in robot-assisted exercise for cardiac rehabilitation [J]. IEEE Int Conf Rehabil Robot, 2019, 2019: 911-916. [25] STOLLER O, DE BRUIN E D, SCHINDELHOLZ M, et al. Efficacy of feedback-controlled robotics-assisted treadmill exercise to improve cardiovascular fitness early after stroke: a randomized controlled pilot trial [J]. J Neurol Phys Ther, 2015, 39(3): 156-165. [26] PAK Y J, KOIKE A, WATANABE H, et al. Effects of a cyborg-type robot suit HAL on cardiopulmonary burden during exercise in normal subjects [J]. Eur J Appl Physiol, 2019, 119(2): 487-493. [27] WATANABE H, KOIKE A, WU L, et al. Efficacy of cardiac rehabilitation with assistance from hybrid assistive limb in patients with chronic heart failure: protocol for a randomized controlled study [J]. Cardiology, 2019, 142(4): 213-219. [28] AHARON K B, GERSHFELD-LITVIN A, AMIR O, et al. Improving cardiac rehabilitation patient adherence via personalized interventions [J]. PLoS One, 2022, 17(8): e0273815. [29] ZHANG W, ZHANG B, ZHANG H, et al. Analysis of the influence of network continuous care on the quality of life of patients with coronary artery disease (CAD) after PIC [J]. Biomed Res Int, 2022, 2022: 3046554. |
[1] | 李晓燕, 郁志明. 老年心房颤动合并焦虑状态的研究进展[J]. 实用老年医学, 2024, 38(10): 979-982. |
[2] | 顾崇怀, 项学军, 郑元喜, 乔锐, 林松. 达格列净对接受冠状动脉介入治疗的伴有射血分数降低的心力衰竭合并2型糖尿病老年病人疗效观察[J]. 实用老年医学, 2024, 38(10): 1025-1029. |
[3] | 刘瑾, 黄艳秋, 朱毅, 卓莉莉. 沙库巴曲缬沙坦钠对老年慢性心力衰竭病人的影响[J]. 实用老年医学, 2024, 38(10): 1030-1033. |
[4] | 徐寿勇, 袁勇. 老年病人开展双低剂量CT冠状动脉造影的可行性研究[J]. 实用老年医学, 2024, 38(10): 1054-1058. |
[5] | 刘琳, 邬青, 张静, 毛芳莹, 余璐, 任艺婷, 方婷. 老年心力衰竭病人症状感知现状及影响因素分析[J]. 实用老年医学, 2024, 38(5): 461-437. |
[6] | 刘倩慧, 姚子俊, 何玉立, 徐云凡, 吴军. 老年2型糖尿病合并慢性心力衰竭病人HbA1c水平对心脏结构和功能的影响[J]. 实用老年医学, 2024, 38(5): 491-437. |
[7] | 张丽莉, 李静, 丁林锋, 孙静娴, 蔡静波. 颈动脉粥样硬化斑块对非瓣膜性心房颤动病人缺血性脑卒中事件的预测价值[J]. 实用老年医学, 2024, 38(3): 236-239. |
[8] | 查志敏, 刘欢, 王向明, 李秋爽, 郭妍. 心脏瓣膜钙化对老年冠心病病人预后的影响[J]. 实用老年医学, 2024, 38(3): 245-250. |
[9] | 朱晨晨, 秦海东. 斑块侵蚀在急慢性冠脉综合征发生发展中的作用[J]. 实用老年医学, 2024, 38(3): 308-311. |
[10] | 程清, 徐艳, 陈国飞, 邓心悦. 血清血管紧张素Ⅱ和一氧化氮水平与老年慢性心力衰竭病人认知功能障碍的相关性[J]. 实用老年医学, 2024, 38(2): 132-135. |
[11] | 章颖, 谢玲, 叶佳琦, 羌文慧, 严晓云, 姜英, 张清. 层粘连蛋白与老年急性心肌梗死病人主要不良心血管事件的相关性[J]. 实用老年医学, 2024, 38(2): 149-151. |
[12] | 任丽艳. 老年心力衰竭病人血清胆碱酯酶水平与心室重塑的相关性研究[J]. 实用老年医学, 2023, 37(12): 1238-1241. |
[13] | 刘离香, 刘永铭. 巨噬细胞在心力衰竭中的作用及相关治疗研究进展[J]. 实用老年医学, 2023, 37(12): 1270-1273. |
[14] | 陆昊, 邓慧, 王春, 戴阳, 王芹, 王青. 老年慢性心力衰竭稳定期病人心肺功能、运动耐力特征及NT-proBNP和TNT分析[J]. 实用老年医学, 2023, 37(11): 1138-1142. |
[15] | 胡静雯, 姜婉莹, 霍俊宇, 王岚, 王骁智. 中低剂量沙库巴曲缬沙坦对射血分数降低的老年心力衰竭病人心室重构和再住院率的影响[J]. 实用老年医学, 2023, 37(8): 828-833. |
阅读次数 | ||||||
全文 |
|
|||||
摘要 |
|
|||||
|