基于多模态反馈的儿童哮喘治疗套装设计与依从性提升研究

苏晨, 马原驰, 江驭鹏

包装工程(设计栏目) ›› 2026, Vol. 47 ›› Issue (10) : 41-51.

PDF(10368 KB)
PDF(10368 KB)
包装工程(设计栏目) ›› 2026, Vol. 47 ›› Issue (10) : 41-51. DOI: 10.19554/j.cnki.1001-3563.2026.10.005
专题:数智健康赋能医疗装备系统设计

基于多模态反馈的儿童哮喘治疗套装设计与依从性提升研究

  • 苏晨1,*, 马原驰1, 江驭鹏2
作者信息 +

Design and Improvement of Adherence of a Multimodal Feedback Based Pediatric Asthma Treatment Kit

  • SU Chen1,*, MA Yuanchi1, JIANG Yupeng2
Author information +
文章历史 +

摘要

目的 哮喘是儿童常见的慢性呼吸道疾病,需长期雾化治疗与病情监测。针对当前儿童雾化治疗中存在的恐惧抵触心理、治疗依从性低及传统设备缺乏情感交互等问题,提出一种基于多模态反馈机制的儿童哮喘治疗套装设计方案。方法 集合情感化设计理论和认知行为心理学理论,引入用户行为预测模型,构建个性化干预策略。设计以不倒翁为灵感,集雾化器、吸入器、储药仓、无线充电、消毒等功能于一体,通过趣味交互模式与奖励机制构建多模态反馈系统,并通过实验验证设计方案的有效性。结果 实验结果表明,与传统雾化产品相比,不倒翁哮喘治疗套装有效缓解患儿焦虑情绪,并显著提升治疗依从性。结论 该治疗套装为儿童哮喘治疗提供了趣味且实用的方案,也为儿童康复医疗产品个性化与智能化提供了新的参考路径。

Abstract

Asthma is a common chronic respiratory disease in children, requiring long-term nebulization therapy and condition monitoring. To address issues in current pediatric nebulization therapy, such as fear and resistance, low treatment adherence, and lack of emotional interaction in traditional devices, the work aims to propose a design scheme for a pediatric asthma treatment kit based on a multimodal feedback mechanism. By integrating theories of emotional design and cognitive behavioral psychology, and introducing a user behavior prediction model, a personalized intervention strategy was developed. Inspired by the roly-poly toy, the design combined functions of nebulizers, inhalers, medicine storage compartments, wireless charging, and sterilization. A multimodal feedback system was established through playful interaction modes and a reward mechanism, and the effectiveness of the design scheme was validated through experiments. Experimental results showed that, compared with traditional nebulization products, the roly-poly asthma treatment kit effectively reduced children's anxiety and significantly enhanced treatment adherence. This treatment kit provides a fun and practical scheme for pediatric asthma care, and also offers a new reference for the personalization and intelligence of pediatric rehabilitation medical products.

关键词

多模态反馈 / 儿童哮喘 / 雾化治疗 / 治疗依从性 / 情感化设计 / 仿生设计

Key words

multimodal feedback / pediatric asthma / nebulization therapy / treatment adherence / emotional design / bionic design

引用本文

导出引用1
苏晨, 马原驰, 江驭鹏. 基于多模态反馈的儿童哮喘治疗套装设计与依从性提升研究[J]. 包装工程. 2026, 47(10): 41-51 https://doi.org/10.19554/j.cnki.1001-3563.2026.10.005
SU Chen, MA Yuanchi, JIANG Yupeng. Design and Improvement of Adherence of a Multimodal Feedback Based Pediatric Asthma Treatment Kit[J]. Packaging Engineering. 2026, 47(10): 41-51 https://doi.org/10.19554/j.cnki.1001-3563.2026.10.005
中图分类号: TB472   

参考文献

[1] 全国儿科哮喘协作组, 中国疾病预防控制中心环境与健康相关产品安全所. 第三次中国城市儿童哮喘流行病学调查[J]. 中华儿科杂志, 2013, 51(10): 729-735.
National Pediatric Asthma Cooperation Group, Institute of Environment and Health-Related Product Safety, Chinese Center for Disease Control and Prevention. Third Nationwide Survey of Childhood Asthma in Urban Areas of China[J]. Chinese Journal of Pediatrics, 2013, 51(10): 729-735.
[2] 赵霞, 蔡迎, 严花, 等. 中医药防治儿童哮喘的研究述评[J]. 南京中医药大学学报, 2026, 42(1): 9-18.
ZHAO X, CAI Y, YAN H, et al.Review of Research on Traditional Chinese Medicine for the Prevention and Treatment of Pediatric Asthma[J]. Journal of Nanjing University of Traditional Chinese Medicine, 2026, 42(1): 9-18.
[3] JEMINIWA R, HOHMANN L, QIAN J J, et al.Impact of eHealth on Medication Adherence among Patients with Asthma: A Systematic Review and Meta-Analysis[J]. Respiratory Medicine, 2019, 149: 59-68.
[4] 邢祥龙. 情感化设计在儿童医疗产品中的应用研究[J]. 包装工程, 2022, 43(16): 284-291.
XING X L.Application of Emotional Design in Child Medical Products[J]. Packaging Engineering, 2022, 43(16): 284-291.
[5] 宋昊雨, 石洁. 儿童听诊器的情感化设计研究[J]. 设计, 2021, 34(17): 8-10.
SONG H Y, SHI J.Emotional Design of Children's Stethoscope[J]. Design, 2021, 34(17): 8-10.
[6] 胡义茜, 高天昊, 白玉龙, 等. 脑机接口联合多模态感知反馈训练对脑卒中后上肢功能恢复的探索性研究[J]. 中国康复医学杂志, 2022, 37(11): 1457-1462.
HU Y (Q /X), GAO T H, BAI Y L, et al. Investigation of Brain-Computer Interface with Multimodal Perception Feedback Training on Functional Re-Covery of Upper Limbs in Chronic Stroke Patients[J]. Chinese Journal of Rehabilitation Medicine, 2022, 37(11): 1457-1462.
[7] 王清波, 虞成, 陈国雄, 等. 基于情绪识别的多模态反馈康复训练系统设计[J]. 设备管理与维修, 2022(18): 108-110.
WANG Q B, YU C, CHEN G X, et al.很抱歉,这段文本暂时无法提供译文[J]. Plant Maintenance Engineering, 2022(18): 108-110.
[8] MOHAMMADI A, SHOKOHYAR S.Artificial Intelligence in Personalized Cardiology Treatment[J]. Digital Chinese Medicine, 2025, 8(1): 28-35.
[9] 张伟恒. 大数据背景下机器学习在个性化医疗领域的应用[J]. 科技与创新, 2025(5): 194-197.
ZHANG W H.Application of Machine Learning in Personalized Medical Field under the Background of Big Data[J]. Science and Technology & Innovation, 2025(5): 194-197.
[10] 辛凤, 侯冉, 彭弘毅. 基于KANO模型的耀州窑文创产品情感化设计[J]. 包装工程, 2024, 45(18): 93-101.
XIN F, HOU R, PENG H Y.Emotional Design of Yaozhou Kiln Cultural and Creative Products Based on KANO Model[J]. Packaging Engineering, 2024, 45(18): 93-101.
[11] 李闯, 张丙辰, 王艳群, 等. 基于情感认知的童车前脸造型设计研究[J]. 包装工程, 2020, 41(6): 211-217.
LI C, ZHANG B C, WANG Y Q, et al.Design of Baby Carriers' Face Modelling Based on the Emotional Cognition[J]. Packaging Engineering, 2020, 41(6): 211-217.
[12] 陈小央, 任文, 邱艳, 等. 认知行为疗法的临床应用现状[J]. 中华全科医学, 2022, 20(10): 1755-1759.
CHEN X Y, REN W, QIU Y, et al.Review of Clinical Aplication of Cognitive Behavioural Therapy[J]. Chinese Journal of General Practice, 2022, 20(10): 1755-1759.
[13] 宋庆梅, 宋庆莉, 张晓娟, 等. 基于人本位视野下的认知行为干预对哮喘患儿遵医行为及父母心理状态的影响[J]. 中国医药导报, 2021, 18(29): 170-173.
SONG Q M, SONG Q L, ZHANG X J, et al.Effect of Cognitive Behavioral Intervention Based on the Humanism Per-Spective on the Compliance Behavior of Children with Asthma and the Psy-Chological State of Their Parents[J]. China Medical Herald, 2021, 18(29): 170-173.
[14] RESCH S, KOUSHA A, CARROLL A, et al.Smart Device Development for Gait Monitoring: Multimodal Feedback in an Interactive Foot Orthosis, Walking Aid, and Mobile Application[J]. Technologies, 2025, 13(12): 588.
[15] HELMHOLTZ H V.Handbuch der Physiologischen Optik[M]. Berlin: Wentworth Press, 2016: 33-42
[16] JAFARI N, ADAMS K D, TAVAKOLI M.Haptics to Improve Task Performance in People with Disabilities: A Review of Previous Studies and a Guide to Future Research with Children with Disabilities[J]. Journal of Rehabilitation and Assistive Technologies Engineering, 2016, 3: 2055668316668147.
[17] 李一晨, 李林璇. 基于Kano模型与多模态的老年记忆辅助功能手表设计研究[J]. 包装工程, 2025, 46(24): 602-615.
LI Y C, LI L X.Design of Elderly Memory-Assisting Smart Watches Based on the Kano Model and Multimodality[J]. Packaging Engineering, 2025, 46(24): 602-615.
[18] XIAO Z, BO P, QIFENG Y, et al.Corrigendum: Prediction Model of Immunosuppressive Medication Non-adherence for Renal Transplant Patients Based on Machine Learning Technology[J]. Frontiers in Medicine, 2022: 9964157-964157.
[19] 唐雷, 钟世镇. 人工智能及其在医学领域中的应用[J]. 中国实用妇科与产科杂志, 2024, 40(9): 876-878.
TANG L, ZHONG S Z.Artificial Intelligence and Its Application in the Field of Medicine[J]. Chinese Journal of Practical Gynecology and Obstetrics, 2024, 40(9): 876-878.

基金

2024年度教育部人文社会科学研究规划基金(24YJA760041)

PDF(10368 KB)

Accesses

Citation

Detail

段落导航
相关文章

/