Use of Filters to Smooth Out Signals Collected through Mobile Devices in the Static and Dynamic Balance Assessment: A Systematic Review
Background: When performing motion analysis using sensors, the signal often comes with noise and it is necessary to use filters to exclude unwanted frequencies. For this reason, the objective of this work was to carry out a systematic review on the filters used in data recorded from smartphone appli...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-06-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/12/13/6579 |
| _version_ | 1797480896614367232 |
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| author | Karina Sá Givago Souza Bianca Callegari Anderson Belgamo André Cabral José Gorla Anselmo Costa e Silva |
| author_facet | Karina Sá Givago Souza Bianca Callegari Anderson Belgamo André Cabral José Gorla Anselmo Costa e Silva |
| author_sort | Karina Sá |
| collection | DOAJ |
| description | Background: When performing motion analysis using sensors, the signal often comes with noise and it is necessary to use filters to exclude unwanted frequencies. For this reason, the objective of this work was to carry out a systematic review on the filters used in data recorded from smartphone applications for static and dynamic balance assessment. Methods: A systematic literature review was performed on the PubMed, ScienceDirect, Scopus, Technology Research and Web of Science databases, using the search strategy: smartphone, “mobile technology”, evaluation, “postural stability”, and balance. Results: 427 articles were found (PubMed = 107; ScienceDirect = 67; Scopus = 106; Web of Science = 95; Technology research database = 52). After applying the inclusion criteria and removing duplicates, nine studies were eligible for this review. In these studies, the fourth-order Butterworth low-pass filter was the most applied (N = 6) and the cutoff frequency of 4 Hz (N = 2) was the most frequent. Conclusions: In general, few studies have adequately described the filter used in signal processing. This step, when hidden, negatively affects the reproducibility of studies. Understanding and describing the signal processing is important not only for the correct description of the results but also for the reproducibility of the studies. |
| first_indexed | 2024-03-09T22:07:40Z |
| format | Article |
| id | doaj.art-a30b92c1730545a4bf31ef3f601b2584 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-09T22:07:40Z |
| publishDate | 2022-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-a30b92c1730545a4bf31ef3f601b25842023-11-23T19:39:07ZengMDPI AGApplied Sciences2076-34172022-06-011213657910.3390/app12136579Use of Filters to Smooth Out Signals Collected through Mobile Devices in the Static and Dynamic Balance Assessment: A Systematic ReviewKarina Sá0Givago Souza1Bianca Callegari2Anderson Belgamo3André Cabral4José Gorla5Anselmo Costa e Silva6Adapted Physical Activity and Sport Laboratory (LAFEA), State University of Campinas, Campinas 13083-851, BrazilTropical Medicine Nucleus, Federal University of Pará, Belém 66050-160, BrazilHuman Motricity Studies Laboratory (LEMOH), Federal University of Pará, Belém 66050-160, BrazilDepartment of Computing, Federal Institute of Piracicaba, Piracicaba 13414-155, BrazilFaculty of Physiotherapy, State University of Pará, Belém 66050-540, BrazilAdapted Physical Activity and Sport Laboratory (LAFEA), State University of Campinas, Campinas 13083-851, BrazilAdapted Physical Activity Laboratory (LAFA), Federal University of Pará, Belém 66075-110, BrazilBackground: When performing motion analysis using sensors, the signal often comes with noise and it is necessary to use filters to exclude unwanted frequencies. For this reason, the objective of this work was to carry out a systematic review on the filters used in data recorded from smartphone applications for static and dynamic balance assessment. Methods: A systematic literature review was performed on the PubMed, ScienceDirect, Scopus, Technology Research and Web of Science databases, using the search strategy: smartphone, “mobile technology”, evaluation, “postural stability”, and balance. Results: 427 articles were found (PubMed = 107; ScienceDirect = 67; Scopus = 106; Web of Science = 95; Technology research database = 52). After applying the inclusion criteria and removing duplicates, nine studies were eligible for this review. In these studies, the fourth-order Butterworth low-pass filter was the most applied (N = 6) and the cutoff frequency of 4 Hz (N = 2) was the most frequent. Conclusions: In general, few studies have adequately described the filter used in signal processing. This step, when hidden, negatively affects the reproducibility of studies. Understanding and describing the signal processing is important not only for the correct description of the results but also for the reproducibility of the studies.https://www.mdpi.com/2076-3417/12/13/6579balancesmartphone technologysignal processingfiltersmovement analysis |
| spellingShingle | Karina Sá Givago Souza Bianca Callegari Anderson Belgamo André Cabral José Gorla Anselmo Costa e Silva Use of Filters to Smooth Out Signals Collected through Mobile Devices in the Static and Dynamic Balance Assessment: A Systematic Review Applied Sciences balance smartphone technology signal processing filters movement analysis |
| title | Use of Filters to Smooth Out Signals Collected through Mobile Devices in the Static and Dynamic Balance Assessment: A Systematic Review |
| title_full | Use of Filters to Smooth Out Signals Collected through Mobile Devices in the Static and Dynamic Balance Assessment: A Systematic Review |
| title_fullStr | Use of Filters to Smooth Out Signals Collected through Mobile Devices in the Static and Dynamic Balance Assessment: A Systematic Review |
| title_full_unstemmed | Use of Filters to Smooth Out Signals Collected through Mobile Devices in the Static and Dynamic Balance Assessment: A Systematic Review |
| title_short | Use of Filters to Smooth Out Signals Collected through Mobile Devices in the Static and Dynamic Balance Assessment: A Systematic Review |
| title_sort | use of filters to smooth out signals collected through mobile devices in the static and dynamic balance assessment a systematic review |
| topic | balance smartphone technology signal processing filters movement analysis |
| url | https://www.mdpi.com/2076-3417/12/13/6579 |
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