中国的机器人外科学杂志 | ISSN 2096-7721 | CN 10-1650/R

脑卒中患者重返驾驶能力评估的研究现状及进展

Current situation and progress of the assessment on returning to driving in stroke patients

作者:张琪,刘欣,郑斌,段晓琴

Vol. 5 No. 2 Apr. 2024 DOI: 10.12180/j.issn.2096-7721.2024.02.007 发布日期:2024-07-10
关键词:脑卒中;重返驾驶;驾驶能力评估;安全驾驶;驾驶训练

作者简介:

汽车驾驶已经成为人们日常生活中不可或缺的部分,也是脑卒中患者重返社会的最重要能力之一。 安全驾驶和驾驶训练的基础是对驾驶能力的准确评估。根据国外研究,脑卒中后的驾驶能力评估主要包括路测、心 理测验和驾驶模拟。目前,我国不仅缺少脑卒中患者安全驾驶的评定标准,也缺乏明确、统一的评估方案。近年来, 医工结合技术和计算机技术的发展为驾驶能力的客观化、精准化、智能化评估提供了可能。本文旨在对脑卒中患者 重返驾驶的评估研究及进展情况进行综述。

Driving has become an integral part of people’s daily lives now, and it is also one of the most important abilities for stroke patients to return to society. Safe driving and driving training are based on accurate assessment of driving ability. According to foreign researches, the assessment of driving ability after stroke includes on-road tests, psychological tests and driving simulation. China is not only short of assessment criteria for safe driving on stroke patients, but also lacks well-defined and uniform assessment methods. With the development of medicine-engineering interdisciplinary and computer technology, it is possible to assess driving ability objectively, accurately and intelligently. The current situations and progress of driving ability assessment for stroke patients were reviewed in this paper.

稿件信息

收稿日期:2021-12-27  录用日期:2023-01-24 

Received Date: 2021-12-27  Accepted Date: 2023-01-24 

基金项目:吉林省自然科学基金学科布局项目(20210101359JC);吉林大学白求恩计划项目(2020B41);吉林大学 2020 年 创新创业教育课程建设项目(CXCYA202029)

Foundation Item: Disciplinary Layout Project of the Natural Science Foundation of Jilin Province (20210101359JC); Jilin University Bethune Project (2020B41); Innovation and Entrepreneurship Education Curriculum Construction Project of Jilin University in 2020 (CXCYA202029)

通讯作者:段晓琴,Email:15204309769@163.com 

Corresponding Author: DUAN Xiaoqin, Email: 15204309769@163.com 

引用格式:张琪,刘欣,郑斌,等 . 脑卒中患者重返驾驶能力评估的研究现状及进展 [J]. 机器人外科学杂志(中英文),2024,5 (2):153-157. 

Citation: ZHANG Q, LIU X, ZHENG B, et al. Current status and progress of the assessment on returning to driving in stroke patients[J]. Chinese Journal of Robotic Surgery, 2024, 5(2): 153-157

参考文献

[1] Virani S S, Alonso A, Benjamin E J, et al. Heart Disease and Stroke Statistics-2020 Update: a report from the American Heart Association[J]. Circulation, 2020, 141(9): e139-e596. 

[2] 王陇德 , 王金环 , 彭斌 , 等 . 《中国脑卒中防治报 告 2016》概要 [J]. 中国脑血管病杂志 , 2017, 14(4): 217-224. 

[3] 刘丽旭 , 张通 , 何静杰 , 等 . 运用 ICF 核心分类组合 脑卒中 ( 综合版 ) 评价脑卒中患者功能状况的多中 心研究 [J]. 中国康复理论与实践 , 2019, 25(7): 816- 821. 

[4] Ouellet M A, Rochette A, Miéville C, et al. Portrait of driving practice following a mild stroke: a secondary analysis of a chart audit[J]. Top Stroke Rehabil, 2020, 27(3): 181-189. 

[5] KU F L, CHEN W C, CHEN M D, et al. The determinants of motorized mobility scooter driving ability after a stroke[J]. Disabil Rehabil, 2021, 43(25): 3701-3710. 

[6] Shimonaga K, Hama S, Tsuji T, et al. The right hemisphere is important for driving-related cognitive function after stroke[J]. Neurosurg Rev, 2021, 44(2): 977-985. 

[7] Olaleye O A. Motor function, community reintegration and quality of life in stroke survivors with pre-stroke driving history[J]. Afr J Med Med Sci, 2018, 47(4): 391-397. 

[8] Tiu J, Harmon A C, Stowe J D, et al. Feasibility and validity of a low-cost racing simulator in driving assessment after stroke[J]. Geriatrics (Basel), 2020, 5(2): 35. 

[9] Frith J, James C, Hubbard I, et al. Australian health professionals’ perceptions about the management of return to driving early after stroke: a mixed methods study[J]. Top Stroke Rehabil, 2021, 28(3): 198-206. 

[10] Yu S, Muhunthan J, Lindley R, et al. Driving in stroke survivors aged 18-65 years: the psychosocial outcomes in stroke (POISE) cohort study[J]. Int J Stroke, 2016, 11(7): 799-806. 

[11] Burns S P , Schwartz J K , Scott S L , et al. Interdisciplinary Approaches to facilitate return to driving and return to work in mild stroke: a position paper[J]. Arch Phys Med Rehabil, 2018, 99(11): 2378- 2388. 

[12] Allart E, Daveluy W, Delahaye R, et al. Simulator-based driving assessment of brain-injured patients in real life practice[J]. Annals of Physical and Rehabilitation Medicine, 2017. DOI: 10.1016/j.rehab.2017.07.237. 

[13] Jeon S, Son J, Park M, et al. Driving-PASS: an automatic driving performance assessment system for stroke drivers based on ANN and SVM[C]: IEEE, 2018. DOI: 10.1109/ICARCV.2018.8581177. 

[14] Sawada T, Tomori K, Hamana H, et al. Reliability and validity of on-road driving tests in vulnerable adults: a systematic review[J]. Int J Rehabil Res, 2019, 42(4): 289-299. 

[15] Choi S Y, Lee J S, Oh Y J. Cut-off point for the trail making test to predict unsafe driving after stroke[J]. J Phys Ther Sci, 2016, 28(7): 2110-2113. 

[16] Wolfe P L, Lehockey K A. Neuropsychological assessment of driving capacity[J]. Arch Clin Neuropsychol, 2016, 31(6): 517-529. 

[17] Unsworth C A, Baker A, Lannin N, et al. Predicting fitness-to-drive following stroke using the Occupational Therapy-Driver Off Road Assessment Battery[J]. Disabil Rehabil, 2019, 41(15): 1797-1802. 

[18] Mckay A, Liew C, Schönberger M, et al. Predictors of the on-road driving assessment after traumatic brain injury: comparing cognitive tests, injury factors, and demographics[J]. J Head Trauma Rehabil, 2016, 31(6): E44-52. 

[19] Sakamaki K, Nishizawa S, Katsuki M, et al. On-road driving assessment in a driving school course and the results of a cognitive function test after stroke in a depopulated rural area in Japan: case series of eight patients[J]. Cureus, 2021, 13(5): e15293. 

[20] Motnikar L, Stojmenova K, Štaba U, et al. Exploring driving characteristics of fit-and unfit-to-drive neurological patients: a driving simulator study[J]. Traffic Inj Prev, 2020, 21(6): 359-364. 

[21] Imhoff S, Lavallière M, Teasdale N, et al. Driving assessment and rehabilitation using a driving simulator in individuals with traumatic brain injury: a scoping review[J]. NeuroRehabilitation, 2016, 39(2): 239-251. 

[22] Herne R, Rai S, Shiratuddin M F, et al. Using a driving simulator to improve driving awareness in stroke survivors: a pilot study[J]. J Fundam Appl Sci, 2018, 10(2S): 201-214. 

[23] Urlings J H J, Cuenen A, Brijs T, et al. Aiding medical professionals in fitness-to-drive screenings for elderly drivers: development of an office-based screening tool[J]. Int Psychogeriatr, 2018, 30(8): 1211-1225. 

[24] 徐玉明 , 范红哲 , 李一 . 神经系疾病既往史者的 健康体质评定与驾驶许可 [J]. 北京体育大学学报 , 2006, 29(11): 1513-1515. 

[25] Mcnamara A, John Barr C, Bond M J, et al. A pilot study: Can the UFOV assessment be used as a repeated measure to determine timing of on-road assessment in stroke?[J]. Aust Occup Ther J, 2019, 66(1): 5-12. 

[26] KU F L, CHEN W C, CHEN T W. Reaction time and visual field are the most relevant factors of driving ability of motorized mobility scooters after stroke[J]. Annals of Physical and Rehabilitation Medicine, 2018. DOI: 10.1016/j.rehab.2018.05.427. 

[27] Patel P, Alam T, Tracy B L, et al. Impaired force control contributes to car steering dysfunction in chronic stroke[J]. Disabil Rehabil, 2021, 43(14): 1948-1954. 

[28] Mcintire L K, Mckinley R A, Goodyear C, et al. Detection of vigilance performance using eye blinks[J]. Appl Ergon, 2014, 45(2): 354-362. 

[29] Lodha N, Casamento-Moran A, Christou E A. Motor control training enhances reactive driving in stroke— a pilot study[J]. Converging Clinical and Engineering Research on Neurorehabilitation II, 2017. DOI: 10.1007/978-3-319-46669-9_172. 

[30] Ooba H, Inoue T, Hirano M, et al. Management of rehabilitation for resumption of post-stroke taxi driving[J]. Journal of the Japanese Council of Traffic Science, 2017, 16(2): 46-54. 

[31] Lesmana I P D, Widiawan B, Hartadi D R. Manipulation of virtual environment to examine perception and vision aspects of individuals post-stroke when driving VRAC simulator[J]. Journal of Physics. Conference series, 2020, 1569(2): 22010. 

[32] 许伟豪 .基于虚拟驾驶体验的康复训练与评估系统 [D]. 广东工业大学 , 2017. 

[33] Sætren G B, Lindheim C, Skogstad M R, et al. Simulator versus traditional training: a comparative study of night driving training[J]. Proc Hum Factors Ergon Soc Annu Meet, 2019, 63(1): 1669-1673. 

[34] Dimech-Betancourt B, Ross P E, Ponsford J L, et al. The development of a simulator-based intervention to rehabilitate driving skills in people with acquired brain injury[J]. Disabil Rehabil Assist Technol, 2021, 16(3): 289-300. 

[35] Blane A, Falkmer T, Lee H C, et al. Investigating cognitive ability and self-reported driving performance of post-stroke adults in a driving simulator[J]. Top Stroke Rehabil, 2018, 25(1): 44-53. 

[36] Jraidi I, Khedher A B, Chaouachi M, et al. Assessing students’ clinical reasoning using gaze and EEG features[J] International Conference on Intelligent Tutoring Systems, 2019. DOI: 10.1007/978-3-030- 22244-4_7. 

[37] Gartz R, Dickerson A, Radloff J. Effectiveness of visual scanning compensatory training after stroke[J]. The American Journal of Occupational Therapy, 2019, 73(4_ Supplement_1): 7311520398p1.

本期文章
[1] 《机器人完全不插管全胸腺切除术安全专家共识》解读(附视频 [2] 《腹腔镜或机器人辅助胰腺癌根治术中国专家共识(2022 年版)》解读 [3] 机器人手术护理配合中国专家共识(2024 版) [4] 机器人辅助腹腔镜手术治疗外阴癌中国专家共识(2024 版):附视频 [5] 机器人辅助腹腔镜手术治疗小儿复发性巨输尿管症一例并文献复习(附视频) [6] 机器人辅助胸腔镜治疗儿童隔离肺日间手术一例报道(附视频) [7] 达芬奇机器人辅助腹腔镜肾盂成形术治疗儿童马蹄肾并肾积水一例报道(附视频) [8] 机器人辅助下舌根恶性肿瘤扩大切除术:江西省首例报道(附视频) [9] 达芬奇机器人辅助动脉导管未闭结扎术:海南省首例报道(附视频) [10] 国产手术机器人辅助腹腔镜下宫颈癌根治术:国内首例报道 [11] 机器人辅助胃部分切除毕罗Ⅰ式吻合术治疗儿童胃丛状纤维黏液瘤并文献复习:全球首例报道(附视频) [12] 机器人辅助经腹膜后入路单孔腹腔镜下活体供肾切取术:全球首例报道(附视频) [13] 机器人辅助单孔胸腔镜肺联合亚段切除术:全球首例报道(附视频) [14] 手术室精准化护理在泌尿外科机器人辅助手术中的应用 [15] 口腔种植机器人辅助手术与传统种植手术的护理配合比较 [16] 机器人辅助完全腹腔镜下脾切断流术联合肝肿瘤切除术的护理配合 [17] 术中体位护理联合手术室低体温防护对机器人辅助根治性膀胱切除原位回肠新膀胱术患者舒适度及术后并发症的效果比较 [18] ADOPT 护理模式在机器人辅助腹腔镜下根治性膀胱 切除术中的应用效果 [19] 机器人辅助手术治疗脊柱骨折伴脊髓神经损伤的研究进展 [20] 显微手术机器人系统在眼底病中的应用现状及进展 [21] 新辅助化疗后机器人辅助与开腹手术治疗局部晚期 子宫颈癌术后生存影响因素的对比分析 [22] 机器人辅助盆腔廓清术在宫颈癌治疗中的应用 [23] 免举宫技术用于机器人辅助宫颈癌根治术的影响因素分析 [24] 老年缺血性脑卒中患者溶栓后采用手功能康复机器人 干预对上肢功能及握力的改善效果 [25] 脑卒中患者重返驾驶能力评估的研究现状及进展 [26] 肌电生物反馈治疗早期脑卒中偏瘫患者上肢功能障碍的疗效分析 [27] 可穿戴式足底压力监测系统的应用及进展 [28] 颈椎病新型智能牵引器的设计研发 [29] 张拉整体机器人构型与运动控制研究现状及进展 [30] 基于递归神经网络的人体下肢运动意图识别方法 [31] 六自由度上肢康复机器人机构设计及轨迹规划
印象笔记
有道云笔记
微博
QQ空间
微信
二维码
意见反馈