护理学报 ›› 2023, Vol. 30 ›› Issue (5): 42-46.doi: 10.16460/j.issn1008-9969.2023.05.042
可穿戴设备在患者疼痛识别和评估中的研究进展
杨飒, 张俊娟, 贾曼, 李佳佳, 于文静, 侯静文, 杨晓平
- 河南省人民医院/郑州大学人民医院,河南 郑州450003
摘要： 目的 概述可穿戴设备在疼痛识别和评估中的研究进展,为准确评估患者的疼痛水平提供参考。方法 结合国内外文献,总结归纳关于可穿戴设备在疼痛识别与评估中的研究进展。结果 研究显示可穿戴设备在疼痛的识别、评估、动态测量和连续记录方面发挥重要作用,但是现阶段可穿戴设备在疼痛识别和评估中的研究主要处于临床试验阶段,还未在临床中推广。结论 结合中国国情,研发更具成本效益,灵敏度和准确度更高的可穿戴疼痛评估系统,动态持续监测患者的疼痛评分,以便于给予针对性的疼痛干预措施,降低疼痛给患者带来的不良反应。
中图分类号:
- R496
| [1] 宋学军,樊碧发,万有,等.国际疼痛学会新版疼痛定义修订简析[J].中国疼痛医志,2020,26(9):641-644.DOI:10.3969/j.issn.1006-9852.2020.09.001. [2] 万丽,赵晴,陈军,等. 疼痛评估量表应用的中国专家共识(2020版)[J]. 中华疼痛学杂志,2020(3):177-187.DOI: 10.3760/cma.j.cn101379-20190915-00075. [3] Charoenpol F, Tontisirin N, Leerapan B, et al.Pain experiences and intrap ersonal change among patients with chronic non-cancer pain after using a pain diary: a mixed-methods study[J]. J Pain Res, 2019, 12(2):477-479.DOI:10.2147/JPR.S186105. [4] Wideman TH, Edwards RR, Walton DM, et al.The multimodal assessment model of pain: a novel framework for further integrating the subjective pain experience within research and practice[J]. Clin J Pain, 2019, 35(3):212-215.DOI:10.1097/AJP.0000000000000670. [5] Chen J, Abbod M, Shieh JS.Pain and stress detection using wearable sens ors and devices-a review[J]. Sensors, 2021, 21(4):1030-1035.DOI:10.3390/s21041030. [6] Wei L, Hou S, Liu Q.Clinical care of hyperthyroidism using wearable medical devices in a medical IoT scenario[J]. J Healthc Eng, 2022, 2022(1/2):1-10. DOI:10.1155/2022/5951326. [7] 张元婷,王张生,唐增,等.远程医疗技术在社区2型糖尿病患者管理中的应用进展[J].健康教育与健康促进,2019,14(1):53-55.DOI:10.16117/j.cnki.31-1974/r.201901016. [8] Burmester GR.Rheumatology 4.0: big data, wearables and diagnosis by computer[J]. Ann Rheum Dis, 2018, 77(7): 963-965.DOI:10.1136/annrheumdis-2017-212888. [9] Maddison R, Cartledge S, Rogerson M, et al.Usefulness of wearable came ras as a tool to enhance chronic disease self-management: scoping review[J]. JMIR mHealth uHealth, 2019, 7(1): e10371.DOI:10.2196/41767. [10] Raffone A, Troisi J, Boccia D, et al.Metabolomics in endometrial cancer diagnosis: a systematic review[J]. Acta Obstet Gynecol Scand,2020,99(9):1135-1146.DOI:10.1111/aogs.13847. [11] Jayaraman C, Mummidisetty CK, Mannix-Slobig A, et al.Variables influen cing wearable sensor outcome estimates in individuals with stroke and incomplete spinal cord injury: a pilot investigation validating two research grade sensors[J]. J Neuroeng Rehabil, 2018, 15(19):1-18.DOI:10.1186/s12984-018-0358-y. [12] Naranjo-Hernández D, Reina-Tosina J, Roa LM.Sensor technologies to manage the physiological traits of chronic pain: a review[J]. Sensors, 2020, 20(2): 365.DOI:10.3390/s20020365. [13] Fisher K, Laikin AM, Sharp KMH, et al.Temporal relationship between daily pain and actigraphy sleep patterns in pediatric sickle cell disease[J]. J Behav Med,2018, 41(3): 416-422.DOI:10.1007/s10865-018-9918-7. [14] Triantafyllou A, Papagiannis G, Stasi S, et al.Application of wearable sensors technology for lumbar spine kinematic measurements during daily activities following microdiscectomy due to severe sciatica[J]. Biology, 2022, 11(3):398.DOI:10.3390/biology11030398. [15] Goudman L, Brouns R, Linderoth B, et al.Effects of spinal cord stimulation on heart rate variability in patients with failed back surgery syndrome:comparison between a 2-lead ECG and a wearable device[J].Neuromodulation, 2021, 24(3):512-519.DOI:10.1111/ner.13091. [16] Yuan I, Nelson O, Barr GA, et al.Functional near‐infrared spectroscopy to assess pain in neonatal circumcisions[J].Paediatr Anaesth, 2022, 32(3):404-412.DOI:10.1111/pan.14326. [17] Perraudin CGM, Illiano VP, Calvo F, et al.Observational study of a wearable sensor and smartphone application supporting unsupervised exercises to assess pain and stiffness[J]. Digit Biomark,2018,2(3):106-125.DOI:10.1159/000493277. [18] 中国信息通信研究院,联想(北京)有限公司,中南大学湘雅三医院.医疗健康行业:可穿戴设备质量研究报告(2021年)[EB/OL].(2021-12-22)[2022-05-09].https://pdf.dfcfw.com/pdf/H3_AP202112311537722771_1.pdf?1640983117000.pdf. 2021/12. [19] 王晓雷,许继军,程建国,等.脊髓电刺激治疗慢性疼痛新进展[J].中国疼痛医学杂志,2019, 25(6):452-455.DOI:10.3969/j.issn.1006-9852.2019.06.012. [20] Mieronkoski R, Syrjälä E, Jiang M, et al.Developing a pain intensity prediction model using facial expression: a feasibility study with electromyography[J]. PloS one, 2020, 15(7): e0235545.DOI:10.1371/journal.pone.0235545. [21] Aqajari SAH, Cao R, Kasaeyan Naeini E, et al.Pain assessment tool with electrodermal activity for postoperative patients:method validation study[J].JMIR mHealth uHealth, 2021, 9(5): e25258.DOI:10.2196/25258. [22] 闫晓甜,薄涛,王成,等.新生儿非良性快速性心律失常的心率变异性研究[J].中国当代儿科杂志,2019, 21(5):474-478.DOI:10.7499/j.issn.1008-8830.2019.05.015. [23] So V, Klar G, Leitch J, et al.Association between postsurgical pain and heart rate variability: protocol for a scoping review[J]. BMJ open, 2021, 11(4):e044949.DOI:10.1136/bmjopen-2020-044949. [24] Sliepen M, Mauricio E, Lipperts M, et al.Objective assessment of physical activity and sedentary behaviour in knee osteoarthritis patients-beyond daily steps and total sedentary time[J]. BMC Musculoskelet Disord, 2018, 19(1):1-10.DOI:10.1186/s12891-018-1980-3. [25] Park YG, Lee S, Park JU.Recent progress in wireless sensors for wearable electronics[J]. Sensors, 2019, 19(20): 4353-4356.DOI:10.3390/s19204353. [26] Zong JY, Zhou XJ, Hu YF, et al.A wearable multifunctional fabric with excellent electromagnetic interference shielding and passive radiation heating performance[J]. Engineering, 2021, 225(2):109299.DOI:10.1016/j.compositesb.2021.109299. [27] Chuan Yen T, Mohler J, Dohm M, et al.The effect of pain relief on daily physical activity: in-home objective physical activity assessment in chronic low back pain patients after paravertebral spinal block[J]. Sensors, 2018, 18(9): 3048.DOI:10.3390/s18093048. [28] 王守岩, 罗回春,黄永志,等. 一种基于脑部电信号构建疼痛状态预测模型的方法:CN109222906A[P].2021-06-20. [29] 韩建达,赵新刚,褚亚奇,等.基于人体生理信号多参数融合的疼痛定量分析系统及方法:CN104887198A[P].2015-09-09. [30] Galit ZS, Mark K. System and method for pain monitoring using a multidimensional analysis of physiological signals: US9498138B2[P].2016-11-22. [31] Johnson A, Yang F, Gollarahalli S, et al.Use of mobile health apps and wearable technology to assess changes and predict pain during treatment of acute pain in sickle cell disease: feasibility study[J]. JMIR mHealth uHealth, 2019, 7(12):e13671.DOI:10.2196/13671. [32] Stehlik J, Schmalfuss C, Bozkurt B,et al.Continuous wearable monitoring analytics predict heart failure hospitalization: the LINK-HF multicenter study[J]. Circulation, 2020, 13(3):e006513.DOI:10.1161/CIRCHEARTFAILURE.119.006513. [33] Hassan SR, Ahmad I, Ahmad S, et al.Remote pain monitoring using fog computing for e-healthcare: an efficient architecture[J]. Sensors, 2020, 20(22):6574.DOI:10.3390/s20226574. [34] Mardini MT, Nerella S, Kheirkhahan M, et al.The temporal relationship between ecological pain and life-space mobility in older adults with knee osteoarthritis: a smartwatch-based demonstration study[J].JMIR mHealth uHealth, 2021, 9(1): e19609-e19612.DOI:10.1093/geroni/igaa057.2897. [35] Ramkumar PN, Haeberle HS, Ramanathan D, et al.Remote patient monitoring using mobile health for total knee arthroplasty: validation of a wearable and machine learning-based surveillance platform[J]. Arthroplasty, 2019, 34(10):2253-2259.DOI:10.1016/j.arth.2019.05.021. [36] Salekin MS, Mouton PR, Zamzmi G, et al.Future roles of artificial intelligence in early pain management of newborns[J]. Paediatr Neonatal Pain, 2021, 3(3):134-145.DOI:10.1002/pne2.12060. [37] Feigin VL, Stark BA, Johnson CO, et al.Global, regional, and national burden of stroke and its risk factors, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019[J]. Lancet Neurol, 2021, 20(10):795-820.DOI:10.1016/S1474-4422(21)00252-0. |
| [1] | 李朝阳, 杨芬, 胡婷, 赵雪扬, 吴曼. 基于百度贴吧“同妻吧”的同妻负性情绪特征及来源分析[J]. 护理学报, 2022, 29(7): 12-16. |
| [2] | 王雨彤, 刘韦辰, 陶静怡, 魏建梅. 慢性非特异性腰背痛患者疼痛评估与管理的最佳证据总结[J]. 护理学报, 2022, 29(6): 55-59. |
| [3] | 侯绪娜, 隋伟玉, 韩凤萍, 朱洁宏, 赵海芹, 王静, 李启虹, 卢鹏章. 基于AI语音的传染性疾病临床护理数据采集系统的构建及应用[J]. 护理学报, 2022, 29(19): 20-24. |
| [4] | 宋静雨, 白露, 王蒙蒙, 张晓天, 欧小红, 于秀丽, 秦苑, 岳鹏. 1例终末期肺癌患者剧烈疼痛及心理的安宁疗护[J]. 护理学报, 2022, 29(19): 62-64. |
| [5] | 刘雨安, 杨小文, 李乐之. 机器学习在疾病预测的应用研究进展[J]. 护理学报, 2021, 28(7): 30-34. |
| [6] | 宋杰,章洁,高远,皮红英. 护理不良事件非结构上报内容的自然语言处理及效果比较[J]. 护理学报, 2018, 25(3): 1-4. |
| [7] | 戈倩,于卫华. 智能可穿戴设备在老年失智患者中的应用现状[J]. 护理学报, 2018, 25(14): 33-36. |
| [8] | 贺芳,张喆,黄小知,王晓杰,李漓. 3种量表用于新生儿足跟采血疼痛评估的信效度分析[J]. 护理学报, 2017, 24(1): 1-4. |
| [9] | 邹本燕,黄薇,詹靖,张力. 一体化护理在无痛示范病房中的实施[J]. 护理学报, 2013, (3): 45-46. |
|