Assessment of spatiotemporal characteristics of gait, trough the Phyphox® app: a case series
Abstract Background Spatiotemporal characteristics from human locomotion can provide effective clinical metrics to assess motor control and brain function. This case report aims to assess the temporal structure of variability in stride-to-stride time and calculated the intrinsic fractal frame that i...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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BMC
2023-12-01
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| Series: | Journal of Medical Case Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13256-023-04296-z |
| _version_ | 1797371116953534464 |
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| author | Carolina A. Cabo Orlando Fernandes Sara Santos Jose A. Parraca |
| author_facet | Carolina A. Cabo Orlando Fernandes Sara Santos Jose A. Parraca |
| author_sort | Carolina A. Cabo |
| collection | DOAJ |
| description | Abstract Background Spatiotemporal characteristics from human locomotion can provide effective clinical metrics to assess motor control and brain function. This case report aims to assess the temporal structure of variability in stride-to-stride time and calculated the intrinsic fractal frame that is hidden below the repetitive structure of physiological gait through the “Phyphox” app. This is an innovative study from the perspective of analyzing gait variables through a mobile app. Case presentation Five older adults Caucasian (3 women; age = 73 ± 10,5 years; body mass = 62,2 ± 15,1 kg; height = 1,56 ± 0,1 m; 2 men; age = 75,5 ± 7,8 years; body mass = 86,3 ± 18,0 kg; height = 1,77 ± 0,1 m) participated in this study. Five participants were asked to walk with a natural cadence, two of the participants presented a value greater than 80 step’s/minute (81.14 ± 0.01; 86.67 ± 0.02); and the others had values between 55 and 65 step’s/minute (55.20 ± 0.02; 55.78 ± 0.05; 61.02 ± 0.05). Regarding the coefficient of variation, only one participant presented 10.08%. For the total number of steps, three of the participants had values greater than 1000 steps. The variability of these stride-to-stride time has been quantified through detrended fluctuation analysis; one participant presented a value above 1. Conclusions This study provides evidence that a smartphone might provide a valid measure to assess the spatiotemporal characteristics of gait. |
| first_indexed | 2024-03-08T18:15:12Z |
| format | Article |
| id | doaj.art-013791f5db2045639c788353a5924063 |
| institution | Directory Open Access Journal |
| issn | 1752-1947 |
| language | English |
| last_indexed | 2024-03-08T18:15:12Z |
| publishDate | 2023-12-01 |
| publisher | BMC |
| record_format | Article |
| series | Journal of Medical Case Reports |
| spelling | doaj.art-013791f5db2045639c788353a59240632023-12-31T12:11:18ZengBMCJournal of Medical Case Reports1752-19472023-12-011711510.1186/s13256-023-04296-zAssessment of spatiotemporal characteristics of gait, trough the Phyphox® app: a case seriesCarolina A. Cabo0Orlando Fernandes1Sara Santos2Jose A. Parraca3Departamento de Desporto e Saúde, Escola de Saúde e Desenvolvimento Humano, Universidade de ÉvoraDepartamento de Desporto e Saúde, Escola de Saúde e Desenvolvimento Humano, Universidade de ÉvoraDepartamento de Desporto e Saúde, Escola de Saúde e Desenvolvimento Humano, Universidade de ÉvoraDepartamento de Desporto e Saúde, Escola de Saúde e Desenvolvimento Humano, Universidade de ÉvoraAbstract Background Spatiotemporal characteristics from human locomotion can provide effective clinical metrics to assess motor control and brain function. This case report aims to assess the temporal structure of variability in stride-to-stride time and calculated the intrinsic fractal frame that is hidden below the repetitive structure of physiological gait through the “Phyphox” app. This is an innovative study from the perspective of analyzing gait variables through a mobile app. Case presentation Five older adults Caucasian (3 women; age = 73 ± 10,5 years; body mass = 62,2 ± 15,1 kg; height = 1,56 ± 0,1 m; 2 men; age = 75,5 ± 7,8 years; body mass = 86,3 ± 18,0 kg; height = 1,77 ± 0,1 m) participated in this study. Five participants were asked to walk with a natural cadence, two of the participants presented a value greater than 80 step’s/minute (81.14 ± 0.01; 86.67 ± 0.02); and the others had values between 55 and 65 step’s/minute (55.20 ± 0.02; 55.78 ± 0.05; 61.02 ± 0.05). Regarding the coefficient of variation, only one participant presented 10.08%. For the total number of steps, three of the participants had values greater than 1000 steps. The variability of these stride-to-stride time has been quantified through detrended fluctuation analysis; one participant presented a value above 1. Conclusions This study provides evidence that a smartphone might provide a valid measure to assess the spatiotemporal characteristics of gait.https://doi.org/10.1186/s13256-023-04296-zBiomechanicsCase reportFractalsGaitSmartphone |
| spellingShingle | Carolina A. Cabo Orlando Fernandes Sara Santos Jose A. Parraca Assessment of spatiotemporal characteristics of gait, trough the Phyphox® app: a case series Journal of Medical Case Reports Biomechanics Case report Fractals Gait Smartphone |
| title | Assessment of spatiotemporal characteristics of gait, trough the Phyphox® app: a case series |
| title_full | Assessment of spatiotemporal characteristics of gait, trough the Phyphox® app: a case series |
| title_fullStr | Assessment of spatiotemporal characteristics of gait, trough the Phyphox® app: a case series |
| title_full_unstemmed | Assessment of spatiotemporal characteristics of gait, trough the Phyphox® app: a case series |
| title_short | Assessment of spatiotemporal characteristics of gait, trough the Phyphox® app: a case series |
| title_sort | assessment of spatiotemporal characteristics of gait trough the phyphox r app a case series |
| topic | Biomechanics Case report Fractals Gait Smartphone |
| url | https://doi.org/10.1186/s13256-023-04296-z |
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