以质量求发展,以服务铸品牌

护理学报 ›› 2024, Vol. 31 ›› Issue (10): 29-32.doi: 10.16460/j.issn1008-9969.2024.10.029

• 文献研究 • 上一篇    下一篇

人机交互技术在神经系统疾病老年患者护理的研究进展

缪冬瑞1, 马桂月2, 徐元玲1, 唐芳1, 张秀梅1   

  1. 1.安徽医科大学第一附属医院,安徽 合肥 230022;
    2.安徽中医药大学 护理学院,安徽 合肥 230012
  • 收稿日期:2023-11-21 出版日期:2024-05-25 发布日期:2024-06-06
  • 通讯作者: 张秀梅(1970-),女,安徽合肥人,主任护师,硕士研究生导师。E-mail:18438322021@qq.com
  • 作者简介:缪冬瑞(1996-),男,安徽合肥人,本科学历,护师。
  • 基金资助:
    安徽省高校科研项目(2022AH051128); 中华护理学会2022年度科研课题(ZHKY202211); 安徽省教育厅高校自然科研重点项目(KJ2021A0581)

  • Received:2023-11-21 Online:2024-05-25 Published:2024-06-06

摘要: 目的 综述国内外人机交互技术在神经系统疾病老年患者护理中的应用现状,以供临床应用和相关技术开发参考。方法 检索国内外相关文献,并通过归纳总结,分别从早期识别、疾病监测、认知训练、肢体锻炼、步态训练和心理调节6方面进行阐述。结果 人机交互技术在神经系统疾病的早期预警、治疗、康复和长期监测等方面展现出广泛的应用前景,但仍然面临一些挑战和限制。结论 人机交互技术能够为神经系统疾病老年患者提供智能化、便捷、高效、精准的护理服务。未来应加强人机交互技术的研发和创新,改进设备,并加强对医护人员的培训和支持,以更有效地促进患者身心康复。

关键词: 人机交互技术, 神经系统疾病, 护理

中图分类号: 

  • R473.74
[1] Goher KM, Mansouri N, Fadlallah SO.Assessment of personal care and medical robots from older adults' perspective[J].Robotics Biomim,2017,4(1):5.DOI:10.1186/s40638-017-0061-7.
[2] Koceski S, Koceska N.Evaluation of an assistive telepresence robot for elderly healthcare[J]. J Med Syst, 2016,40(5):121.DOI:10.1007/s10916-016-0481-x.
[3] Drotar P, Mekyska J, Rektorova L, et al.Evaluation of handwriting kinematics and pressure for differential diagnosis of Parkinson's disease[J]. Artif Intell Med, 2016, 67(2):39-46.DOI:10.1016/j.artmed.2016.01.004.
[4] Weiner J, Herff C, Schultz T.Speech-based detection of Alzheimers Disease in conversational german[J].2016:1938-1942. DOI:10.21437/interspeech.2016-100.
[5] Chakraborty S, Nandy A.Automatic diagnosis of cerebral palsy gait using computational intelligence techniques: a low-cost multi-sensor approach[J]. IEEE Trans Neural Syst Rehabil Eng, 2020,28(11):2488-2496. DOI:10.1109/TNSRE.2020.3028203.
[6] Lin YC, Fan J, Tate JA, et al.Use of robots to encourage social engagement between older adults[J].Geriatr Nurs, 2022, 43:97-103. DOI:10.1016/j.gerinurse.2021.11.008.
[7] Görer B, Salah AA, Akın HL.An autonomous robotic exercise tutor for elderly people[J].Auton Robot, 2017, 41(3):657-678. DOI:10.1007/s10514-016-9598-5.
[8] Maalouf N, Sidaoui A, Elhajj IH,et al.Robotics in nursing: a scoping review[J].J Nurs Scholarsh, 2018, 50. DOI:10.1111/jnu.12424.
[9] Pereira MF, Prahm C, Kolbenschlag J, et al.Application of AR and VR in hand rehabilitation: a systematic review[J].J Biomed Inform, 2020, 111:103584. DOI:10.1016/j.jbi.2020.103584.
[10] Rooij IJMD, Port IGLVD, Visser-Meily JMA,et al.Virtual reality gait training versus non-virtual reality gait training for improving participation in subacute stroke survivors: study protocol of the ViRTAS randomized controlled trial[J]. Bio Med Centr,2019,20(1):89.DOI:10.1186/S13063-018-3165-7.
[11] Falck F, Doshi S, Tormento M,et al.Robot DE NIRO: a human-centered, autonomous, mobile research platform for cognitively-enhanced manipulation[J]. Front Robot AI, 2020, 7:66. DOI:10.3389/frobt.2020.00066.
[12] Petersen S, Houston S, Qin H, et al.The utilization of robotic pets in dementia care[J]. J Alzheimers Dis,2017,55(2):569-574. DOI:10.3233/JAD-160703.
[13] 郑伯明. 基于Android手机显示的“三高”检测系统的设计与实现[D].长春:长春理工大学,2020.
[14] Mavropoulos T, Symeonidis S, Tsanousa A,et al.Smart integration of sensors, computer vision and knowledge representation for intelligent monitoring and verbal human-computer interaction[J].J Intell Inf Syst, 2021,57(2):321-345.DOI:10.1007/s10844-021-00648-7.
[15] Zhuang JP,Fang R,Feng X,et al.The impact of human-computer interaction-based comprehensive training on the cognitive functions of cognitive impairment elderly individuals in a nursing home[J].J Alzheimers Dis,2013, 36(2):245-251.DOI:10.3233/JAD-130158.
[16] Goo, Joo, Lee, et al. A comparison of the effects between 2 computerized cognitive training programs, Bettercog and COMCOG, on elderly patients with MCI and mild dementia: a single-blind randomized controlled study[J]. Medicine, 2018,97(45):3007.DOI:10.1097/MD.0000000000013007.
[17] Oliveira J, Gamito P, Souto T, et al.Virtual reality-based cognitive stimulation on people with mild to moderate dementia due to Alzheimer's disease: a pilot randomized controlled trial[J]. Int J Env Res Pub He, 2021, 18(10):5290.DOI:10.3390/ijerph18105290.
[18] Amjad I, Toor H, Niazi IK,et al.Xbox 360 kinect cognitive games improve slowness, complexity of EEG, and cognitive functions in subjects with mild cognitive impairment: a randomized control trial[J]. Games Health J, 2019, 8(2):144-152.DOI:10.1089/g4h.2018.0029.
[19] Hossein, Mousavi,Hondori,et al.Choice of human-computer interaction mode in stroke rehabilitation[J]. Neurorehab Neural Re,2016, 30(3):258-265.DOI:10.1177/1545968315593805.
[20] Garcia GJ, Balastegui G, Mortes Esquer J,et al.ARMIA: a sensorized arm wearable for motor rehabilitation[J].Biosensors(Basel), 2022, 12(7):469.
[21] Chen J.Clinical effect of virtual reality technology on rehabilitation training of sports injury[J]. J Healthc Eng,2021, 11:1361851. DOI: 10.1155/2021/1361851.
[22] Florian G, Georgios N, Alireza G.Closed-loop task difficulty adaptation during virtual reality reach-to-grasp training assisted with an exoskeleton for stroke rehabilitation[J].Front Neurosci, 2016, 10:518.DOI:10.3389/fnins.2016.00518.
[23] Cai H, Lin T, Chen L,et al.Evaluating the effect of immersive virtual reality technology on gait rehabilitation in stroke patients: a study protocol for a randomized controlled trial[J]. Trials, 2021, 22(1):91.DOI:10.1186/s13063-021-05031-z.
[24] Irene Cortés-Pérez, Nieto-Escamez FA, Esteban Obrero-Gaitán.Immersive virtual reality in stroke patients as a new approach for reducing postural disabilities and falls risk: a case series[J].Brain Sciences,2020,10(5):296.DOI:10.3390/brainsci10050296.
[25] Lee HS, Park YJ, Park SW.The effects of virtual reality training on function in chronic stroke patients: a systematic review and meta-analysis[J].Bio Med Res Int, 2019, 2019:1-12.DOI:10.1155/2019/7595639.
[26] Liang A, Piroth I, Robinson H,et al.A pilot randomized trial of a companion robot for people with dementia living in the community[J]. J Am Med Dir Assoc,2017,18(10):871-878.DOI:10.1016/j.jamda.2017.05.019.
[27] Lima MR, Wairagkar M,Natarajan N,et al.Robotic telemedicine for mental health: a multimodal approach to improve human-robot engagement[J]. Front Robot AI,2021, 8:618866.DOI:10.3389/frobt.2021.618866.
[28] Hung L, Liu C, Woldum E,et al.The benefits of and barriers to using a social robot PARO in care settings: a scoping review[J].BMC Geriatr,2019,19(1):232.DOI:10.1186/s12877-019-1244-6.
[29] Yu C, Sommerlad A, Sakure L,et al.Socially assistive robots for people with dementia:Systematic review and meta-analysis of feasibility, acceptability and the effect on cognition, neuropsychiatric symptoms and quality of life[J]. Ageing Res Rev, 2022, 78:101633.DOI:10.1016/j.arr.2022.101633.
[1] 张静, 彭焕椽, 陈佳, 鲁永锦, 刘克玄, 侯晓敏. 成人体外循环心脏手术患者预防手术部位感染的最佳证据总结[J]. 护理学报, 2025, 32(4): 41-47.
[2] 刘璐, 朱钰, 曹义, 张华, 彭玉娜. 腹腔热灌注化疗患者术中实施不同目标体温管理的效果观察[J]. 护理学报, 2025, 32(4): 59-63.
[3] 李疆伟, 王树君, 李长仔, 胡宝山, 焦桂梅, 张卫红. 基于压力应对理论的护理干预对结直肠癌术后永久性肠造口患者心理压力、负性情绪及自我管理的影响[J]. 护理学报, 2025, 32(4): 64-69.
[4] 龚祖华, 孙丽, 谭璇, 张悦, 施丹, 程娟娟. 肝胆外科术后患者基础体征采集-比对-识别隐匿型病情变化的效果观察[J]. 护理学报, 2025, 32(4): 74-78.
[5] 李苗苗, 熊莉娟, 齐磊, 李敏, 向御婷. 基于Ridit分析法和秩和比法的疾病诊断相关分组在护理绩效管理中的应用[J]. 护理学报, 2025, 32(3): 22-26.
[6] 焦雪萍, 王志稳, 韩舒羽. ICU老年患者躁动行为的干预研究进展[J]. 护理学报, 2025, 32(3): 38-42.
[7] 李若雨, 刘鑫, 林萍, 陈丹, 林桦. 出院患者用药安全管理的最佳证据总结[J]. 护理学报, 2025, 32(3): 50-55.
[8] 杨小娟, 毛孝容, 王静, 江华, 李蓉, 樊宇, 文青, 李林章, 陈晓容. 成人重度烧伤患者早期肠内营养管理的最佳证据总结[J]. 护理学报, 2025, 32(3): 56-61.
[9] 朱天顺, 朱可可, 薛会元, 焦聪聪, 魏长慧, 王贺. 信息框架效应理论在健康管理领域应用的范围综述[J]. 护理学报, 2025, 32(2): 44-49.
[10] 刘硕怡, 熊莉娟, 李凌, 王玉梅, 何嘉, 李鑫, 袁淑蕾, 郭雪琴, 王暘婧, 张慧娟. 老年住院患者衰弱预防及管理临床实践指南的质量评价及内容分析[J]. 护理学报, 2025, 32(2): 50-55.
[11] 闫亚铃, 乐美妮, 姚桃琴, 王雪莲, 姜建玲, 辛艺. 老年胃肠肿瘤患者围手术期衰弱管理方案的构建[J]. 护理学报, 2025, 32(2): 74-78.
[12] 顾妍鑫, 刘丽, 胡惠惠, 周芳, 杨怡, 高锐, 王培双. 以核心能力为导向的麻醉护理硕士专业学位研究生临床实践培养方案的构建[J]. 护理学报, 2025, 32(1): 7-12.
[13] 孙娟, 李亚莉, 马安娜, 王华, 张会敏. 护理研究生对社区护理实践思政教学体验的质性研究[J]. 护理学报, 2025, 32(1): 19-23.
[14] 李格格, 王婉儿, 蒲江锋, 谢章浩, 杨妞, 黄惠根. 基于熵权-TOPSIS结合RSR法广东省护理人力资源配置评价研究[J]. 护理学报, 2025, 32(1): 29-33.
[15] 贺芳, 温秀兰, 林艳, 孙黎, 王晓杰, 余欣, 刘会, 郭晓萍, 周艳. 基于移动医疗的新生儿护理线上咨询门诊的建立与实施[J]. 护理学报, 2024, 31(9): 20-23.
Viewed
Full text


Abstract

Cited

  Shared   
No Suggested Reading articles found!