{"title":"不同信号处理方法对学龄前儿童加速度振幅范围的影响","authors":"Hannah J. Coyle-Asbil, David W. L. Ma, L. Vallis","doi":"10.1080/1091367X.2021.2009836","DOIUrl":null,"url":null,"abstract":"ABSTRACT This study explored 1) the effect of applying an autocalibration algorithm on accelerometer data analyzed using different signal processing techniques and 2) how these techniques changed the signal composition. Using a dataset of preschoolers (n = 137; 4.31 ± 0.87 years; Actigraph accelerometers (100 Hz) on right hip 24 hours/7 days) the vector magnitude (VM) was calculated as a reference; highpass, bandpass and lowpass filters were applied and the “Euclidean Norm Minus One” (ENMO) was calculated. Amplitude probability distribution functions were created to compare the 1) uncalibrated versus calibrated data and, 2) amplitude distribution across the techniques. Results showed that the calibration correction significantly impacted ENMO, VM lowpass and VM data, but the impact on VM highpass and bandpass data was minimal. Comparing across the techniques, results showed the lowest outputs were derived according to ENMO, followed by the VM highpass/VM bandpass and the VM lowpass/VM which yielded very similar results.","PeriodicalId":48577,"journal":{"name":"Measurement in Physical Education and Exercise Science","volume":"26 1","pages":"207 - 220"},"PeriodicalIF":1.9000,"publicationDate":"2021-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Comparison of Different Signal Processing Methodologies and Their Impact on the Range of Acceleration Amplitudes Experienced by Preschool-Aged Children\",\"authors\":\"Hannah J. Coyle-Asbil, David W. L. Ma, L. Vallis\",\"doi\":\"10.1080/1091367X.2021.2009836\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ABSTRACT This study explored 1) the effect of applying an autocalibration algorithm on accelerometer data analyzed using different signal processing techniques and 2) how these techniques changed the signal composition. Using a dataset of preschoolers (n = 137; 4.31 ± 0.87 years; Actigraph accelerometers (100 Hz) on right hip 24 hours/7 days) the vector magnitude (VM) was calculated as a reference; highpass, bandpass and lowpass filters were applied and the “Euclidean Norm Minus One” (ENMO) was calculated. Amplitude probability distribution functions were created to compare the 1) uncalibrated versus calibrated data and, 2) amplitude distribution across the techniques. Results showed that the calibration correction significantly impacted ENMO, VM lowpass and VM data, but the impact on VM highpass and bandpass data was minimal. Comparing across the techniques, results showed the lowest outputs were derived according to ENMO, followed by the VM highpass/VM bandpass and the VM lowpass/VM which yielded very similar results.\",\"PeriodicalId\":48577,\"journal\":{\"name\":\"Measurement in Physical Education and Exercise Science\",\"volume\":\"26 1\",\"pages\":\"207 - 220\"},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2021-12-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Measurement in Physical Education and Exercise Science\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1080/1091367X.2021.2009836\",\"RegionNum\":4,\"RegionCategory\":\"教育学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"EDUCATION & EDUCATIONAL RESEARCH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Measurement in Physical Education and Exercise Science","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1080/1091367X.2021.2009836","RegionNum":4,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"EDUCATION & EDUCATIONAL RESEARCH","Score":null,"Total":0}
Comparison of Different Signal Processing Methodologies and Their Impact on the Range of Acceleration Amplitudes Experienced by Preschool-Aged Children
ABSTRACT This study explored 1) the effect of applying an autocalibration algorithm on accelerometer data analyzed using different signal processing techniques and 2) how these techniques changed the signal composition. Using a dataset of preschoolers (n = 137; 4.31 ± 0.87 years; Actigraph accelerometers (100 Hz) on right hip 24 hours/7 days) the vector magnitude (VM) was calculated as a reference; highpass, bandpass and lowpass filters were applied and the “Euclidean Norm Minus One” (ENMO) was calculated. Amplitude probability distribution functions were created to compare the 1) uncalibrated versus calibrated data and, 2) amplitude distribution across the techniques. Results showed that the calibration correction significantly impacted ENMO, VM lowpass and VM data, but the impact on VM highpass and bandpass data was minimal. Comparing across the techniques, results showed the lowest outputs were derived according to ENMO, followed by the VM highpass/VM bandpass and the VM lowpass/VM which yielded very similar results.
期刊介绍:
The scope of Measurement in Physical Education and Exercise Science (MPEES) covers original measurement research, special issues, and tutorials within six substantive disciplines of physical education and exercise science. Six of the seven sections of MPEES define the substantive disciplines within the purview of the original research to be published in the journal: Exercise Science, Physical Activity, Physical Education Pedagogy, Psychology, Research Methodology and Statistics, and Sport Management and Administration. The seventh section of MPEES, Tutorial and Teacher’s Toolbox, serves to provide an outlet for review and/or didactic manuscripts to be published in the journal. Special issues provide an avenue for a coherent set of manuscripts (e.g., four to five) to collectively focus in-depth on an important and timely measurement-related issue within the scope of MPEES. The primary aim of MPEES is to publish high-impact manuscripts, most of which will focus on original research, that fit within the scope of the journal.