Список источников:
王荣利。 脑瘫患儿机器人踝关节康复的初级临床试验//北京大学学报. 2018. 卷。 50号2. 第207-212页。= Ван Жунли. Первичное клиническое исследование роботизированной реабилитации голеностопного сустава у детей с ДЦП // Вестник Пекинского университета. 2018. Т. 50, № 2. С. 207–212. (на кит. яз.)
林青山、林麗霜、石靜麗。評估基本運動技能干預對腦癱兒童運動障礙康復的影響//中華冶金醫學雜誌。 2025. T.42,沒有 2. 第 222-223 頁。 = Линь Циншань, Линь Лишуан, Ши Цзинли. Оценка влияния вмешательства базовых двигательных навыков на реабилитацию двигательных нарушений у детей с детским церебральным параличом // Журнал медицины металлургической промышленности Китая. 2025. Т. 42, № 2. С. 222–223. (на кит. яз.).
第一作者 戚克敏 通讯作者 丁忠冰, 张萌, 陈世动, 鞠嫄 3视听反馈式实时重读运动疗法对痉挛型脑性瘫痪儿童言语流利性障碍的疗效研究 //中国康复医学杂志. 2025. 卷。 40号。 第196-202页。 https://doi.org/10.3969/j.issn.1001-1242.2025.02.005。 = Эффективность терапии с аудиовизуальной обратной связью в режиме реального времени при нарушениях беглости речи у детей со спастической формой ДЦП / Ци Кэминь [и др.] // Журнал реабилитационной медицины Китая. 2025. Т. 40, № 2. С. 196–202. https://doi.org/10.3969/j.issn.1001-1242.2025.02.005. (на кит. яз.).
Elling-Tammen L. von, Stark Ch., Wloka K.R., Alberg E., Schoenau E., Duran I. Predicting Gross Motor Function in Children and Adolescents with Cerebral Palsy Applying Artificial Intelligence Using Data on Assistive Devices // Journal of Clinical Medicine. 2023. Vol. 12, iss. 6. P. 2228. https://doi.org/10.3390/jcm12062228.
Guo C., Cun Y., Xia B., Chen S., Zhang C., Chen Y., Shan E., Zhang P., Tai X. An Analysis of Stimulation Methods Used in Rehabilitation Equipment for Children with Cerebral Palsy // Frontiers in Neurology. 2024. Vol. 15. P. 1371332. https://doi.org/10.3389/fneur.2024.1371332.
Schafmeyer L., Losch H., Bossier Ch., Lanz I., Wunram H.L., Schoenau E., Duran I. Using Artificial Intelligence-Based Technologies to Detect Clinically Relevant Changes of Gross Motor Function in Children with Cerebral Palsy // Developmental Medicine and Child Neurology. 2024. Vol. 66, iss. 2. P. 226–232. https://doi.org/10.1111/dmcn.15744.
References:
Elling-Tammen, L. von, Stark, Ch., Wloka, K.R., Alberg, E., Schoenau, E. & Duran, I. (2023) Predicting Gross Motor Function in Children and Adolescents with Cerebral Palsy Applying Artificial Intelligence Using Data on Assistive Devices. Journal of Clinical Medicine. 12 (6), 2228. Available from: doi:10.3390/jcm12062228.
Guo, C., Cun, Y., Xia, B., Chen, S., Zhang, C., Chen, Y., Shan, E., Zhang, P. & Tai, X. (2024) An Analysis of Stimulation Methods Used in Rehabilitation Equipment for Children with Cerebral Palsy. Frontiers in Neurology. 15, 1371332. Available from: doi:10.3389/fneur.2024.1371332.
Lin Qingshan, Lin Lichuan & Shi Jingli (2025). [Assessment of the impact of the intervention of basic motor skills on the rehabilitation of motor disorders in children with cerebral palsy]. [Journal of Medicine of the Metallurgical Industry of China]. 42 (2), 222–223. (In Chinese).
Qi Kamini, Ding Zhongbing, Zhang Meng, Chen Shidong & Ju Yan (2025). [The effectiveness of real-time audiovisual feedback therapy in speech fluency disorders in children with spastic cerebral palsy]. [Journal of Rehabilitation Medicine of China]. 40 (2), 196–202. Available from: doi:10.3969/j.issn.1001-1242.2025.02.005. (In Chinese).
Schafmeyer, L., Losch, H., Bossier, Ch., Lanz, I., Wunram, H.L., Schoenau, E. & Duran, I. (2024) Using Artificial Intelligence-Based Technologies to Detect Clinically Relevant Changes of Gross Motor Function in Children with Cerebral Palsy. Developmental Medicine and Child Neurology. 66 (2), 226–232. Available from: doi:10.1111/dmcn.15744.
Van Junli (2018). [Primary clinical trial of robotic ankle rehabilitation in children with cerebral palsy]. [Bulletin of Peking University]. 50 (2), 207–212. (In Chinese).