CLC Number:
- 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. |
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