BR24992820 — Innovative medical technologies and devices to improve surgical interventions in prosthetics and rehabilitation in the field of orthopedics and medical rehabilitation

Goal of the work: The aim of the program is to develop and implement innovative medical technologies and devices to improve surgical interventions in prosthetics and rehabilitation in the field of orthopedics and medical rehabilitation.

Relevance of the work: The effectiveness of the program is manifested in improving the accuracy and safety of surgical interventions through the introduction of robotic systems and modern data processing algorithms, improving patient rehabilitation through the development of exoskeletons and prostheses, as well as reducing treatment time and costs. The creation of innovative medical technologies contributes to improving the quality of life of patients, personalizing treatment and strengthening the position of domestic developments in the international market.

Scientific supervisor: Candidate of technical sciences, Professor, Kasymbek Adilbekovich Ozhikenov

Results obtained: In 2025, a comprehensive set of interdisciplinary studies was carried out to develop robotic and biomedical systems for medical applications. A robotic surgical assistant with high positioning accuracy was designed based on mathematical modeling and inverse kinematics algorithms. A software system for medical image processing and personalized 3D model reconstruction was developed, achieving high segmentation accuracy. A prototype exoskeleton controlled by biosignals was created, demonstrating stability and energy efficiency. A digital platform based on microservice architecture was implemented for patient data monitoring and analysis. Intelligent upper- and lower-limb prostheses were developed using machine learning techniques and optimized structural designs. The obtained results confirm a high level of technological readiness and strong potential for implementation in medical practice.

List of publications with links to them

1. Karasheva M., Saudanbekova A., Utepbergen A., Akkulova S., Niyetkaliyev A., Ozhikenov K., Ozhiken A., Alimbayev C., Shylmyrza U., Aimukhanbetov Y. Sensor-Driven Control Strategies for Post-Stroke Shoulder Rehabilitation Exoskeletons: A Systematic Review // MethodsX. – 2025. – DOI: https://doi.org/10.1016/j.mex.2025.103648.
2. Boltaboyeva A., Baigarayeva Z., Imanbek B., Ozhikenov K., Getahun A.J., Aidarova T., Karymsakova N. A Review of Innovative Medical Rehabilitation Systems with Scalable AI-Assisted Platforms for Sensor-Based Recovery Monitoring // Applied Sciences. – 2025. – Vol. 15. – Article 6840. – DOI: https://doi.org/10.3390/app15126840.
3. Abdikenov B., Zholtayev D., Suleimenov K., Assan N., Ozhikenov K., Ozhikenova A., Nadirov N., Kapsalyamov A. Emerging Frontiers in Robotic Upper-Limb Prostheses: Mechanisms, Materials, Tactile Sensors and Machine Learning-Based EMG Control: A Comprehensive Review // Sensors. – 2025. – Vol. 25, № 13. – Article 892. – DOI: https://doi.org/10.3390/s25133892.
4. Sergazin G., Ozhiken A., Zhetenbayev N., Ozhikenov K., Tursunbayeva G., Nurgizat Y., Uzbekbayev A., Ayazbay A.-A. Development of an Ankle Exoskeleton: Design, Modeling, and Testing // Sensors. – 2025. – Vol. 25. – Article 2020. – DOI: https://doi.org/10.3390/s25072020.
5. Akhmejanov S., Zhetenbayev N., Sultan A., Zhauyt A., Nurgizat Y., Ozhikenov K., Ayazbay A.-A., Uzbekbayev A. Design and Analysis of an Autonomous Active Ankle–Foot Prosthesis with 2-DoF // Sensors. – 2025. – Vol. 25. – Article 4881. – DOI: https://doi.org/10.3390/s25164881.
6. Aidarkhan A., Mukhamediya A., Askhatova A., Beisembekova R., Alimbayeva Z., Ozhikenova A., Ozhikenov K., Jamwal P.K. Self-supervised learning with BYOL for anterior cruciate ligament tear detection from knee MRI // MethodsX. – 2025. – Vol. 15. – Article 103664. – DOI: https://doi.org/10.1016/j.mex.2025.103664.
7. Beisembekova R., Aidarova T., Boltaboeva A., Imanbek B., Ozhikenov K., Karymsakova N. AI-Driven Smart Wearable Systems for Personalized Rehabilitation Monitoring // Trauma & Ortho Kaz. – 2025. – № 76. – Article jto010. – DOI: https://doi.org/10.52889/1684-9280-2025-76-4-jto010.
8. Карымсакова Н., Ожикенов К., Бейсембекова Р., Болысбек М. Архитектура платформы медицинской реабилитации // Academic Scientific Journal of Computer Science. – 2025. – № 2. – С. 140–154. – DOI: https://doi.org/10.32014/2025.2518-1726.349.
9. Zhetenbayev N., Uzbekbayev A., Sultan A., Sergazin G., Ayazbay A. Analysing the Integration of Artificial Intelligence into Rehabilitation Ankle Joint Exoskeletons // Proceedings of I4SDG Workshop 2025 – IFToMM for Sustainable Development Goals. – Springer, Cham, 2025. – (Mechanisms and Machine Science, vol. 180). – DOI: https://doi.org/10.1007/978-3-031-91179-8_16.
10. Akhmejanov S., Zhetenbayev N., Sultan A., Nurgizat Y., Sergazin G., Ozhikenov K. Engineering an Active Ankle-Foot Prosthesis: Conceptual Design for Enhanced Walking Dynamic // Proceedings of I4SDG Workshop 2025. – Springer, Cham, 2025. – (Mechanisms and Machine Science, vol. 180). – DOI: https://doi.org/10.1007/978-3-031-91179-8_19.
11. Sultan A., Zhetenbayev N., Nurgizat Y., Ayazbay A., Ozhikenov K., Sergazin G. Analysis of the Lower Limb Prosthesis Market and Research of Advanced Prosthetic Methods // New Trends in Medical and Service Robotics (MESROB 2025). – Springer, Cham, 2025. – (Mechanisms and Machine Science, vol. 186). – DOI: https://doi.org/10.1007/978-3-031-96081-9_19.
12. Akhmejanov S. et al. Foot and Ankle Prosthetics Using Artificial Intelligence: Innovative Developments and Conceptual Solutions // New Trends in Medical and Service Robotics (MESROB 2025). – Springer, Cham, 2025. – (Mechanisms and Machine Science, vol. 186). – DOI: https://doi.org/10.1007/978-3-031-96081-9_22.
13. Zhetenbayev N., Ceccarelli M. Design and Performance Analysis of Almaty Ankle Exoskeleton V.2 // New Trends in Medical and Service Robotics (MESROB 2025). – Springer, Cham, 2025. – (Mechanisms and Machine Science, vol. 186). – DOI: https://doi.org/10.1007/978-3-031-96081-9_23.
14. Sayat A., Nursultan Z., Aidos S., Arman U., Gani S., Ozhikenov K. Development of an Adaptive Foot Prosthesis with an Elastic Element and Shock-Absorbing Sole Without Electric Actuators // Artificial Intelligence in Healthcare (AIiH 2025). – Springer, Cham, 2025. – (Lecture Notes in Computer Science, vol. 16039). – URL: https://link.springer.com/chapter/10.1007/978-3-032-00656-1_16.
15. Sayat A., Nursultan Z., Yerkebulan N., Aidos S., Arman U., Gani S., Ozhikenov K., Asset N. Review and Comparative Analysis of Modern Knee Prostheses with Development of a Conceptual Design // Engineering Proceedings. – 2025. – Vol. 104. – Article 80. – DOI: https://doi.org/10.3390/engproc2025104080.
16. Zhetenbayev N., Ayazbay A.A., Seisenova D., Sergazin G. Modeling of an Ankle Exoskeleton with Linear Actuator in MATLAB // Mechanical Engineering Solutions (MES 2025). – Springer, Cham, 2025. – (Mechanisms and Machine Science, vol. 191). – URL: https://link.springer.com/chapter/10.1007/978-3-032-02352-0_21.
17. Айтказин М.Қ. и др. Устройство для мониторинга сердечного ритма и вариабельности сердечного ритма в реальном времени на основе PPG-датчика MAX30102 и одноплатного компьютера Raspberry Pi Zero 2 W // Авторское свидетельство № 58003. – 12.05.2025.
18. Қарасаева А.А. и др. Отслеживание частоты сердечных сокращений и мышечной активности во время упражнений с использованием PPG-датчика MAX30102 и датчика мышечной активности DFRobot SEN0213 на базе ESP32 // Авторское свидетельство № 58198. – 14.05.2025.
19. Айтказин М.Қ. и др. Устройство для мониторинга сердечного ритма в реальном времени для отслеживания движения мышцы с использованием микроконтроллера ESP32 и датчика DFRobot SEN0213 // Авторское свидетельство № 57173. – 22.04.2025.