РАЗРАБОТКА ТЕХНОЛОГИИ ДИАГНОСТИКИ ПАТТЕРНА БЕГА У СТАЙЕРОВ ПРИ ПОМОЩИ УМНЫХ СТЕЛЕК
Ключевые слова:
гейт анализ, умная стелька, стайер, неврома Мортона
Аннотация
Цель. Разработка методов и программных средств для анализа паттерна бега у спортсменов-бегунов на длинные дистанции с помощью умных стелек с целью предупреждения развития травм у спортсменов-стайеров. Материалы и методы. Стельки со встроенными датчиками давления, акселерометром и гироскопом и специально разработанное программное обеспечение для анализа паттерна бега и распределения давления на стопы. Результаты. Представлена методика диагностики и анализа паттерна бега, позволяющая предупреждать развитие воспаления сухожилий, невромы Мортона и подошвенного фасцита. Заключение. Представленная методика и разработанное программное обеспечение позволяют анализировать паттерны бега стайеров, диагностировать и предупреждать развитие травм.
Литература
1. Ayena J., Chapwouo T., OtisM., Menelas B. An Efficient Home-Based Risk of Fallingassessment Test Based on Smartphone and Instrumented Insole. In Proceedings of the 2015 IEEE International Symposium on Medical Measurements and Applications (MeMeA), Turin, Ita-ly, 7–9 May 2015, pp. 416–421. DOI: 10.1109/MeMeA.2015.7145239
2. Bamberg S., Benbasat A., Scarborough D. et al. Gait Analysis Using a Shoe-Integrated Wireless Sensor System. IEEE Transactions on Information Technology in Biomedicine, 2008, vol. 12 (4), pp. 413–423. DOI: 10.1109/TITB.2007.899493
3. Buist I., Bredeweg S.W., Bessem B. et al. Incidence and Risk Factors of Running-Related Injuries During Preparation for a 4-mile Recreational Running Event. Br J Sports Med, 2010, vol. 44, pp. 598–604. DOI: 10.1136/bjsm.2007.044677
4. Butler R.J., Davis I.S., Hamill J. Interaction of Arch Type and Footwear on Running Me-chanics. Amer. J. Sports Med, 2006, vol. 34 (12), pp. 1998–2005. DOI: 10.1177/0363546506290401
5. Chen B. et al. A Foot-wearable Interface for Locomotion Mode Recognition Based on Discrete Contact Force Distribution. Mechatronics, 2015, vol. 32, pp. 12–21. DOI: 10.1016/ j.mechatronics.2015.09.002
6. Ferrari A. et al. Mobile Kalman-Filter Based Solution for the Real-Time Estimation of Spatio-Temporal Gait Parameters. IEEE Trans. Neural Syst. Rehabil. Eng., 2016, vol. 24, pp. 764–773. DOI: 10.1109/TNSRE.2015.2457511
7. Hegde N., Sazonov E. SmartStep: A Fully Integrated, Low-Power Insole Monitor. Electronics, 2014, vol. 3, pp. 381–397. DOI: 10.3390/electronics3020381
8. Howell M. et al. Kinetic Gait Analysis Using a Low-Cost Insole. IEEE Transactions on Biomedical Engineering, 2013, vol. 60. DOI: 10.1109/TBME.2013.2250972
9. Karamanidis K., Aramantios A., Bruggemann G.P. Reproducibility of Electromyography and Ground Reaction Force During Various Running Techniques. Gait Post, 2004, vol. 19, pp. 115–123. DOI: 10.1016/S0966-6362(03)00040-7
10. Kavanagh J., Menz H. Accelerometry: A Technique for Quantifying Movement Patterns During Walking. Gait Post, 2008, vol. 28, pp. 1–15. DOI: 10.1016/j.gaitpost.2007.10.010
11. Le Bris R. et al. Effect of Fatique on Stride Pattern Continuously Measured by an Accelerometric Gait Recorder in Middle Distance Runners. J. Sports Med. Phys. Fitness, 2006, vol. 46, pp. 227–231.
12. Mercer J., Bates B., Dufek J., Hreljak A. Characteristics of Shock Attenuation During Fatigued Running. J. Sports Sci., 2003, vol. 21, pp. 911–919. DOI: 10.1080/0264041031000140383
13. Milner C. et al. Biomechanical Factors Associated with Tibial Stress Fracture in Female Runners. Med. Sci. Sports. Exerc., 2005, vol. 38 (2), pp. 323–328. DOI: 10.1249/01.mss.0000183477.75808.92
14. Murphy D., Beynnon B., Michelson J., Vacek P. Efficacy of Plantar Loading Parameters During Gait in Terms of Reliability, Variability, Effect of Gender and Relationship Between Contact Area and Plantar Pressure. Foot Ank. Int., 2005, vol. 26(2), pp. 171–179. DOI: 10.1177/107110070502600210
15. O'Leary K., Vorpahl K., Heiderscheit B. Effect of Cushioned Insoles on Impact Forces During Running. J. Amer. Pod. Med. Assoc., 2008, vol. 98 (1), pp. 36–41. DOI: 10.7547/0980036
16. Putti A., Arnold G., Cochrane L., Abboud R. The Pedar Inshoe System: Repeatability and Normal Pressure Values. Gait Post., 2007, vol. 25, pp. 401–405. DOI: 10.1016/j.gaitpost.2006.05.010
17. Rampp A. et al. Inertial Sensor-based Strideparameter Calculation From Gait Sequences in Geriatric Patients. IEEE Trans. Biomed. Eng., 2015, vol. 62, pp. 1089–1097. DOI: 10.1109/ TBME.2014.2368211
2. Bamberg S., Benbasat A., Scarborough D. et al. Gait Analysis Using a Shoe-Integrated Wireless Sensor System. IEEE Transactions on Information Technology in Biomedicine, 2008, vol. 12 (4), pp. 413–423. DOI: 10.1109/TITB.2007.899493
3. Buist I., Bredeweg S.W., Bessem B. et al. Incidence and Risk Factors of Running-Related Injuries During Preparation for a 4-mile Recreational Running Event. Br J Sports Med, 2010, vol. 44, pp. 598–604. DOI: 10.1136/bjsm.2007.044677
4. Butler R.J., Davis I.S., Hamill J. Interaction of Arch Type and Footwear on Running Me-chanics. Amer. J. Sports Med, 2006, vol. 34 (12), pp. 1998–2005. DOI: 10.1177/0363546506290401
5. Chen B. et al. A Foot-wearable Interface for Locomotion Mode Recognition Based on Discrete Contact Force Distribution. Mechatronics, 2015, vol. 32, pp. 12–21. DOI: 10.1016/ j.mechatronics.2015.09.002
6. Ferrari A. et al. Mobile Kalman-Filter Based Solution for the Real-Time Estimation of Spatio-Temporal Gait Parameters. IEEE Trans. Neural Syst. Rehabil. Eng., 2016, vol. 24, pp. 764–773. DOI: 10.1109/TNSRE.2015.2457511
7. Hegde N., Sazonov E. SmartStep: A Fully Integrated, Low-Power Insole Monitor. Electronics, 2014, vol. 3, pp. 381–397. DOI: 10.3390/electronics3020381
8. Howell M. et al. Kinetic Gait Analysis Using a Low-Cost Insole. IEEE Transactions on Biomedical Engineering, 2013, vol. 60. DOI: 10.1109/TBME.2013.2250972
9. Karamanidis K., Aramantios A., Bruggemann G.P. Reproducibility of Electromyography and Ground Reaction Force During Various Running Techniques. Gait Post, 2004, vol. 19, pp. 115–123. DOI: 10.1016/S0966-6362(03)00040-7
10. Kavanagh J., Menz H. Accelerometry: A Technique for Quantifying Movement Patterns During Walking. Gait Post, 2008, vol. 28, pp. 1–15. DOI: 10.1016/j.gaitpost.2007.10.010
11. Le Bris R. et al. Effect of Fatique on Stride Pattern Continuously Measured by an Accelerometric Gait Recorder in Middle Distance Runners. J. Sports Med. Phys. Fitness, 2006, vol. 46, pp. 227–231.
12. Mercer J., Bates B., Dufek J., Hreljak A. Characteristics of Shock Attenuation During Fatigued Running. J. Sports Sci., 2003, vol. 21, pp. 911–919. DOI: 10.1080/0264041031000140383
13. Milner C. et al. Biomechanical Factors Associated with Tibial Stress Fracture in Female Runners. Med. Sci. Sports. Exerc., 2005, vol. 38 (2), pp. 323–328. DOI: 10.1249/01.mss.0000183477.75808.92
14. Murphy D., Beynnon B., Michelson J., Vacek P. Efficacy of Plantar Loading Parameters During Gait in Terms of Reliability, Variability, Effect of Gender and Relationship Between Contact Area and Plantar Pressure. Foot Ank. Int., 2005, vol. 26(2), pp. 171–179. DOI: 10.1177/107110070502600210
15. O'Leary K., Vorpahl K., Heiderscheit B. Effect of Cushioned Insoles on Impact Forces During Running. J. Amer. Pod. Med. Assoc., 2008, vol. 98 (1), pp. 36–41. DOI: 10.7547/0980036
16. Putti A., Arnold G., Cochrane L., Abboud R. The Pedar Inshoe System: Repeatability and Normal Pressure Values. Gait Post., 2007, vol. 25, pp. 401–405. DOI: 10.1016/j.gaitpost.2006.05.010
17. Rampp A. et al. Inertial Sensor-based Strideparameter Calculation From Gait Sequences in Geriatric Patients. IEEE Trans. Biomed. Eng., 2015, vol. 62, pp. 1089–1097. DOI: 10.1109/ TBME.2014.2368211
2. Bamberg S., Benbasat A., Scarborough D. et al. Gait Analysis Using a Shoe-Integrated Wireless Sensor System. IEEE Transactions on Information Technology in Biomedicine, 2008, vol. 12 (4), pp. 413–423. DOI: 10.1109/TITB.2007.899493
3. Buist I., Bredeweg S.W., Bessem B. et al. Incidence and Risk Factors of Running-Related Injuries During Preparation for a 4-mile Recreational Running Event. Br J Sports Med, 2010, vol. 44, pp. 598–604. DOI: 10.1136/bjsm.2007.044677
4. Butler R.J., Davis I.S., Hamill J. Interaction of Arch Type and Footwear on Running Me-chanics. Amer. J. Sports Med, 2006, vol. 34 (12), pp. 1998–2005. DOI: 10.1177/0363546506290401
5. Chen B. et al. A Foot-wearable Interface for Locomotion Mode Recognition Based on Discrete Contact Force Distribution. Mechatronics, 2015, vol. 32, pp. 12–21. DOI: 10.1016/ j.mechatronics.2015.09.002
6. Ferrari A. et al. Mobile Kalman-Filter Based Solution for the Real-Time Estimation of Spatio-Temporal Gait Parameters. IEEE Trans. Neural Syst. Rehabil. Eng., 2016, vol. 24, pp. 764–773. DOI: 10.1109/TNSRE.2015.2457511
7. Hegde N., Sazonov E. SmartStep: A Fully Integrated, Low-Power Insole Monitor. Electronics, 2014, vol. 3, pp. 381–397. DOI: 10.3390/electronics3020381
8. Howell M. et al. Kinetic Gait Analysis Using a Low-Cost Insole. IEEE Transactions on Biomedical Engineering, 2013, vol. 60. DOI: 10.1109/TBME.2013.2250972
9. Karamanidis K., Aramantios A., Bruggemann G.P. Reproducibility of Electromyography and Ground Reaction Force During Various Running Techniques. Gait Post, 2004, vol. 19, pp. 115–123. DOI: 10.1016/S0966-6362(03)00040-7
10. Kavanagh J., Menz H. Accelerometry: A Technique for Quantifying Movement Patterns During Walking. Gait Post, 2008, vol. 28, pp. 1–15. DOI: 10.1016/j.gaitpost.2007.10.010
11. Le Bris R. et al. Effect of Fatique on Stride Pattern Continuously Measured by an Accelerometric Gait Recorder in Middle Distance Runners. J. Sports Med. Phys. Fitness, 2006, vol. 46, pp. 227–231.
12. Mercer J., Bates B., Dufek J., Hreljak A. Characteristics of Shock Attenuation During Fatigued Running. J. Sports Sci., 2003, vol. 21, pp. 911–919. DOI: 10.1080/0264041031000140383
13. Milner C. et al. Biomechanical Factors Associated with Tibial Stress Fracture in Female Runners. Med. Sci. Sports. Exerc., 2005, vol. 38 (2), pp. 323–328. DOI: 10.1249/01.mss.0000183477.75808.92
14. Murphy D., Beynnon B., Michelson J., Vacek P. Efficacy of Plantar Loading Parameters During Gait in Terms of Reliability, Variability, Effect of Gender and Relationship Between Contact Area and Plantar Pressure. Foot Ank. Int., 2005, vol. 26(2), pp. 171–179. DOI: 10.1177/107110070502600210
15. O'Leary K., Vorpahl K., Heiderscheit B. Effect of Cushioned Insoles on Impact Forces During Running. J. Amer. Pod. Med. Assoc., 2008, vol. 98 (1), pp. 36–41. DOI: 10.7547/0980036
16. Putti A., Arnold G., Cochrane L., Abboud R. The Pedar Inshoe System: Repeatability and Normal Pressure Values. Gait Post., 2007, vol. 25, pp. 401–405. DOI: 10.1016/j.gaitpost.2006.05.010
17. Rampp A. et al. Inertial Sensor-based Strideparameter Calculation From Gait Sequences in Geriatric Patients. IEEE Trans. Biomed. Eng., 2015, vol. 62, pp. 1089–1097. DOI: 10.1109/ TBME.2014.2368211
References
1. Ayena J., Chapwouo T., OtisM., Menelas B. An Efficient Home-Based Risk of Fallingassessment Test Based on Smartphone and Instrumented Insole. In Proceedings of the 2015 IEEE International Symposium on Medical Measurements and Applications (MeMeA), Turin, Ita-ly, 7–9 May 2015, pp. 416–421. DOI: 10.1109/MeMeA.2015.71452392. Bamberg S., Benbasat A., Scarborough D. et al. Gait Analysis Using a Shoe-Integrated Wireless Sensor System. IEEE Transactions on Information Technology in Biomedicine, 2008, vol. 12 (4), pp. 413–423. DOI: 10.1109/TITB.2007.899493
3. Buist I., Bredeweg S.W., Bessem B. et al. Incidence and Risk Factors of Running-Related Injuries During Preparation for a 4-mile Recreational Running Event. Br J Sports Med, 2010, vol. 44, pp. 598–604. DOI: 10.1136/bjsm.2007.044677
4. Butler R.J., Davis I.S., Hamill J. Interaction of Arch Type and Footwear on Running Me-chanics. Amer. J. Sports Med, 2006, vol. 34 (12), pp. 1998–2005. DOI: 10.1177/0363546506290401
5. Chen B. et al. A Foot-wearable Interface for Locomotion Mode Recognition Based on Discrete Contact Force Distribution. Mechatronics, 2015, vol. 32, pp. 12–21. DOI: 10.1016/ j.mechatronics.2015.09.002
6. Ferrari A. et al. Mobile Kalman-Filter Based Solution for the Real-Time Estimation of Spatio-Temporal Gait Parameters. IEEE Trans. Neural Syst. Rehabil. Eng., 2016, vol. 24, pp. 764–773. DOI: 10.1109/TNSRE.2015.2457511
7. Hegde N., Sazonov E. SmartStep: A Fully Integrated, Low-Power Insole Monitor. Electronics, 2014, vol. 3, pp. 381–397. DOI: 10.3390/electronics3020381
8. Howell M. et al. Kinetic Gait Analysis Using a Low-Cost Insole. IEEE Transactions on Biomedical Engineering, 2013, vol. 60. DOI: 10.1109/TBME.2013.2250972
9. Karamanidis K., Aramantios A., Bruggemann G.P. Reproducibility of Electromyography and Ground Reaction Force During Various Running Techniques. Gait Post, 2004, vol. 19, pp. 115–123. DOI: 10.1016/S0966-6362(03)00040-7
10. Kavanagh J., Menz H. Accelerometry: A Technique for Quantifying Movement Patterns During Walking. Gait Post, 2008, vol. 28, pp. 1–15. DOI: 10.1016/j.gaitpost.2007.10.010
11. Le Bris R. et al. Effect of Fatique on Stride Pattern Continuously Measured by an Accelerometric Gait Recorder in Middle Distance Runners. J. Sports Med. Phys. Fitness, 2006, vol. 46, pp. 227–231.
12. Mercer J., Bates B., Dufek J., Hreljak A. Characteristics of Shock Attenuation During Fatigued Running. J. Sports Sci., 2003, vol. 21, pp. 911–919. DOI: 10.1080/0264041031000140383
13. Milner C. et al. Biomechanical Factors Associated with Tibial Stress Fracture in Female Runners. Med. Sci. Sports. Exerc., 2005, vol. 38 (2), pp. 323–328. DOI: 10.1249/01.mss.0000183477.75808.92
14. Murphy D., Beynnon B., Michelson J., Vacek P. Efficacy of Plantar Loading Parameters During Gait in Terms of Reliability, Variability, Effect of Gender and Relationship Between Contact Area and Plantar Pressure. Foot Ank. Int., 2005, vol. 26(2), pp. 171–179. DOI: 10.1177/107110070502600210
15. O'Leary K., Vorpahl K., Heiderscheit B. Effect of Cushioned Insoles on Impact Forces During Running. J. Amer. Pod. Med. Assoc., 2008, vol. 98 (1), pp. 36–41. DOI: 10.7547/0980036
16. Putti A., Arnold G., Cochrane L., Abboud R. The Pedar Inshoe System: Repeatability and Normal Pressure Values. Gait Post., 2007, vol. 25, pp. 401–405. DOI: 10.1016/j.gaitpost.2006.05.010
17. Rampp A. et al. Inertial Sensor-based Strideparameter Calculation From Gait Sequences in Geriatric Patients. IEEE Trans. Biomed. Eng., 2015, vol. 62, pp. 1089–1097. DOI: 10.1109/ TBME.2014.2368211
Опубликован
2019-07-15
Как цитировать
Тетин, И., & Антоненко, Е. (2019). РАЗРАБОТКА ТЕХНОЛОГИИ ДИАГНОСТИКИ ПАТТЕРНА БЕГА У СТАЙЕРОВ ПРИ ПОМОЩИ УМНЫХ СТЕЛЕК. Человек. Спорт. Медицина, 19(2), 139-144. https://doi.org/10.14529/hsm190218
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