Chinese Journal of Nursing ›› 2019, Vol. 54 ›› Issue (11): 1644-1647.DOI: 10.3761/j.issn.0254-1769.2019.11.009
• Special Planning — Pediatric Nursing • Previous Articles Next Articles
Received:2019-03-22
Online:2019-11-15
Published:2019-11-22
作者简介:李梦婷:女,本科(硕士在读),E-mail:21818472@zju.edu.cn
基金资助:李梦婷, 陈朔晖. 新生儿疼痛表情自动识别系统的研究进展[J]. 中华护理杂志, 2019, 54(11): 1644-1647.
Add to citation manager EndNote|Ris|BibTeX
URL: https://zh.zhhlzzs.com/EN/10.3761/j.issn.0254-1769.2019.11.009
| [1] | 王亚静, 李杨, 孙静 , 等. 新生儿重症监护病房患儿操作性疼痛现状调查[J]. 护理学杂志, 2019,34(11):20-23. |
| [2] | Orovec A, Disher T, Caddell K , et al. Assessment and management of procedural pain during the entire neonatal intensive care unit hospitalization[J]. Pain Manag Nurs, 2019.DOI: 10.1016/j.pmn.2018.11.016. |
| [3] | Walker SM . Translational studies identify long-term impact of prior neonatal pain experience[J]. Pain, 2017,158(4):S29-S42. |
| [4] | Watterberg KL, Cummings JJ, Benitz W E , et al. Prevention and management of procedural pain in the neonate:an update[J]. Pediatrics, 2016,137(2):e20154271-e20154283. |
| [5] | Boyle EM, Bradshaw J, Blake KI . Persistent pain in neonates:challenges in assessment without the aid of a clinical tool[J]. Acta Paediatr, 2018,107(1):63-67. |
| [6] | 沈巧, 郑显兰, 林紫 , 等. 66家医疗机构儿童疼痛管理现状调查[J]. 中国护理管理, 2019,19(2):187-193. |
| [7] | Anand KJS, Eriksson M, Boyle EM , et al. Assessment of continuous pain in newborns admitted to NICUs in 18 European countries[J]. Acta Paediatr, 2017,106(8):1248-1259. |
| [8] | Pölkki T, Korhonen A, Laukkala H . Nurses’ perceptions of pain assessment and management practices in neonates:a cross-sectional survey[J]. Scand J Caring Sci, 2018,32(2):725-733. |
| [9] | Collados-Gómez L, Camacho-Vicente V, González-Villalba M , et al. Neonatal nurses’ perceptions of pain management[J]. Enferm Intensiva, 2018,29(1):41-47. |
| [10] | Zamzmi G, Kasturi R, Goldgof D , et al. A review of automated pain assessment in infants:features,classification tasks,and databases[J]. IEEE Rev Biomed Eng, 2018,11:77-96. |
| [11] | 徐东娟, 王克芳 . 新生儿疼痛的评估工具[J]. 中华护理杂志, 2005,40(10):790-792. |
| [12] | Kappesser J, Kamper-Fuhrmann E, de Laffolie J , et al. Pain-specific reactions or indicators of a general stress response:investigating the discriminant validity of 5 well-established neo-natal pain assessment tools[J]. Clin J Pain, 2019,35(2):101-110. |
| [13] | Relland LM, Gehred A, Maitre NL . Behavioral and physiological signs for pain assessment in preterm and term neonates during a nociception-specific response:a systematic review[J]. Pediatr Neurol, 2019,90:13-23. |
| [14] | Kappesser J, de Laffolie J, Faas D , et al. Comparison of two neonatal pain assessment tools(children and infant’s postoperative pain scale and the neonatal facial coding system-revised)and their relations to clinicians’ intuitive pain estimates[J]. Eur J Pain, 2019,23(4):708-718. |
| [15] | Schiavenato M, Byers JF, Scovanner P , et al. Neonatal pain facial expression:evaluating the primal face of pain[J]. Pain, 2008,138(2):460-471. |
| [16] | Peters JW, Koot HM, Grunau RE , et al. Neonatal facial coding system for assessing postoperative pain in infants:item reduction is valid and feasible[J]. Clin J Pain, 2003,19(6):353-363. |
| [17] | Heiderich TM, Leslie AT, Guinsburg R . Neonatal procedural pain can be assessed by computer software that has good sensitivity and specificity to detect facial movements[J]. Acta Paediatr, 2015,104(2):e63-e69. |
| [18] | 柳毅 . 基于卷积神经网络的新生儿疼痛表情识别方法研究[D]. 南京:南京邮电大学, 2018. |
| [19] | 蔡飞 . 基于三维卷积神经网络的新生儿疼痛表情识别[D]. 南京:南京邮电大学, 2018. |
| [20] | Brahnam S, Chuang CF, Sexton RS , et al. Machine assessment of neonatal facial expressions of acute pain[J]. Decis Support Syst, 2007,43(4):1242-1254. |
| [21] | Brahnam S, Nanni L McMurtrey S , et al. Neonatal pain detection in videos using the iCOPEvid dataset and an ensemble of descriptors extracted from Gaussian of local descriptors[J]. Appl Comput Inform, 2019. DOI: 10.1016/j.aci.2019.05.003. |
| [22] | 朱金朵 . 基于深度学习的新生儿疼痛表情识别[D]. 南京:南京邮电大学, 2018. |
| [23] | Zhi RC, Zamzmi GZD, Goldgof D , et al. Automatic infants’ pain assessment by dynamic facial representation:effects of profile view,gestational age,gender,and race[J]. J Clin Med, 2018,7(7):E173. |
| [24] | Naik T, Mcgregor C, James A . Automated partial premature infant pain profile scoring using big data analytics [C]//1st International IEEE Life-Science Conference,IUltimo,Australia, 2017: 246-249. |
| [25] | Parodi E, Melis D, Boulard L , et al. Automated newborn pain assessment framework using computer vision techniques [C]//International Conference on Bioinformatics Research and Applications,Barcelona,Spain, 2017: 31-36. |
| [26] | Brahnam S, Chuang CF, Shih FY , et al. Machine recognition and representation of neonatal facial displays of acute pain[J]. Artif Intell Med, 2006,36(3):211-222. |
| [27] | Nanni L, Brahnam S, Lumini A . A local approach based on a Local Binary Patterns variant texture descriptor for classifying pain states[J]. Expert Syst Appl, 2010,37(12):7888-7894. |
| [28] | 李玉静 . 基于Gabor小波变换和LBP结合的新生儿疼痛表情识别研究[D]. 南京:南京邮电大学, 2014. |
| [29] | 余益团 . 基于LBP-top特征的新生儿疼痛表情识别研究[D]. 南京:南京邮电大学, 2016. |
| [30] | Fotiadou E, Zinger S, Tjon A Ten WE , et al. Video-based facial discomfort analysis for infants[C]// Conference on Visual Information Processing and Communication V, San Francisco, CA, 2014:90290F-90290F-14. |
| [31] | Gholami B, Haddad WM, Tannenbaum AR . Relevance vector machine learning for neonate pain intensity assessment using digital imaging[J]. IEEE Trans Biomed Eng, 2010,57(6):1457-1466. |
| [32] | Zamzami G, Ruiz G, Goldgof D , et al. Pain assessment in infants:towarsds spotting pain expression based on infants’ facial strain [C]//11th IEEE International Conference and Work-shops on Automatic Face and Gesture Recognition(FG),Ljubljana,Slovenia, 2015: 1-5. |
| [33] | 卢官明, 李晓南, 李海波 . 新生儿疼痛面部表情识别方法的研究[J]. 光学学报, 2008,28(11):2109-2114. |
| [34] | 李旭 . 基于分块加权局部二值模式的新生儿疼痛表情识别[D]. 南京:南京邮电大学, 2014. |
| [35] | 卢官明, 石婉婉, 李旭 , 等. 基于LBP特征和稀疏表示的新生儿疼痛表情识别[J]. 南京邮电大学学报(自然科学版), 2015,35(1):19-25. |
| [36] | 刘陶鸿 . 基于视频序列的新生儿疼痛表情识别系统的研究[D]. 南京:南京邮电大学, 2016. |
| [37] | Sun Y, Shan C, Tan T . Video-based discomfort detection for infants[J]. Mach Vision Appl, 2019,30(5):933-944. |
| [38] | 彭进业, 杨瑞靖, 冯晓毅 , 等. 人脸疼痛表情识别综述[J]. 数据采集与处理, 2016,31(1):43-55. |
| [39] | 谢萍, 周慧勤, 张灿 , 等. 全程模块化智能护理评估系统的应用与效果评价[J]. 中华护理杂志, 2017,52(7):863-866. |
| [40] | 刘晓娜, 潘红英 . 护理决策支持系统的应用进展[J]. 中华护理杂志, 2018,53(6):735-739. |
| [1] | LI Tiantian, QU Nan, CUI Liping, WEI Ling, ZHANG Lifeng, CHENG Yiwei, SUN Shuang. Risk prediction models for thrombosis in autologous arteriovenous fistulas in hemodialysis patients:a Meta-analysis [J]. Chinese Journal of Nursing, 2026, 61(9): 1269-1276. |
| [2] | CAI Weixin, SUN Weige, ZHANG Ran, CHEN Weiqi, WANG Yuying, WANG Yilong. Research progress on supportive care needs of patients with amyotrophic lateral sclerosis [J]. Chinese Journal of Nursing, 2026, 61(9): 1277-1283. |
| [3] | ZHANG Shiyang, LIU Qiaoyu, LIN Xiaoling, AI Xingxing, CHEN Ciduan, HUANG Jiewei. Application progress of the symptom science model in symptom management of patients with type 2 diabetes mellitus [J]. Chinese Journal of Nursing, 2026, 61(9): 1284-1290. |
| [4] | HUANG Xuan, GUO Shuping, Caldenas Xiaodong, XIE Yunying, WANG Hanmin, ZHANG Yumei, LIU Taoli, LI Li. Systematic review of measurement properties of psoriasis patient specific self-reported outcome assessment tools and nursing implications [J]. Chinese Journal of Nursing, 2026, 61(8): 1117-1124. |
| [5] | LI Qiuhua, FU Guifen, JIANG Jianhua, YIN Dan, ZUO Jing, LIU Yanqun. The application of wearable devices in dynamic monitoring and management of patients with inflammatory bowel disease:a scoping review [J]. Chinese Journal of Nursing, 2026, 61(8): 1132-1140. |
| [6] | XIONG Lisha, YUAN Yue, WANG Sixue, WANG Yuncui. Research progress on fidelity of intervention programs for cognitive impairment patients from the perspective of implementation science [J]. Chinese Journal of Nursing, 2026, 61(8): 1141-1147. |
| [7] | LI Yan, XU Cuiping. Recent advances in the application of digital biomarkers for disease assessment and monitoring in cancer patients [J]. Chinese Journal of Nursing, 2026, 61(8): 1148-1152. |
| [8] | ZENG Jialin, FU Bing, YANG Lingyun, JIANG Qinghua. Evaluation of patient-reported outcome assessment tools for head and neck cancer patients and nursing implications [J]. Chinese Journal of Nursing, 2026, 61(7): 986-994. |
| [9] | WANG Xiuli, DAI Chunhao, XU Ziting, LI Haoyuan, LENG Minmin, ZHANG Haibo, LI Qing, YANG Lijuan. A scoping review on the application of exercise interventions in elderly patients with sarcopenic obesity [J]. Chinese Journal of Nursing, 2026, 61(7): 995-1001. |
| [10] | HE Jingting, YING Yanping, LU Qiufang, ZHAO Huihan, LIU Liying, MA Hanzhang, ZHANG Cheng. Scoping review on the application of multimodal data in the nursing field [J]. Chinese Journal of Nursing, 2026, 61(7): 1002-1008. |
| [11] | WU Ling, WU Bo, CHEN Hong, GU Chenxi, LIU Yang, ZHANG Chunjin, CHEN Mengqi, ZHANG Qing. Machine learning-based prediction models for intraoperative hypothermia risk in adults:a scoping review [J]. Chinese Journal of Nursing, 2026, 61(6): 844-851. |
| [12] | GUO Xiaobei, WANG Ying, GUO Yue, CUI Mengying, LU Zhihui, HUANG Zijing. Research progress of square step exercise in the prevention of motor cognitive risk syndrome in the elderly [J]. Chinese Journal of Nursing, 2026, 61(6): 852-857. |
| [13] | CHEN Jing, WANG Junjun, WEI Xiaoqiong, HE Huan, SUN Qiuyi, TANG Ying, HAN Ying, HE Huayun. Exercise intervention in children with juvenile idiopathic arthritis:a scoping review [J]. Chinese Journal of Nursing, 2026, 61(6): 858-864. |
| [14] | WEN Jia, GUO Huifang, GUO Jingjing, TIAN Yunxia, YANG Yue, LIU Bo. Social isolation in maintenance hemodialysis patients:a scoping review [J]. Chinese Journal of Nursing, 2026, 61(5): 605-611. |
| [15] | KUANG Wan, ZHU Min, HU Luhong. Brief mindfulness-based interventions in perioperative surgical patients:a scoping review [J]. Chinese Journal of Nursing, 2026, 61(5): 707-714. |
| Viewed | ||||||
|
Full text |
|
|||||
|
Abstract |
|
|||||
