Analyzing Gait in the Real World Using Wearable Movement Sensors and Frequently Repeated Movement Paths
Assessing interventions for mobility disorders using real-life movement remains an unsolved problem. We propose a new method combining the strengths of traditional laboratory studies where environment is strictly controlled, and field-based studies where subjects behave naturally. We use a foot-moun...
Uloženo v:
| Vydáno v: | Sensors (Basel, Switzerland) Ročník 19; číslo 8; s. 1925 |
|---|---|
| Hlavní autoři: | , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Switzerland
MDPI
24.04.2019
MDPI AG |
| Témata: | |
| ISSN: | 1424-8220, 1424-8220 |
| On-line přístup: | Získat plný text |
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|
| Abstract | Assessing interventions for mobility disorders using real-life movement remains an unsolved problem. We propose a new method combining the strengths of traditional laboratory studies where environment is strictly controlled, and field-based studies where subjects behave naturally. We use a foot-mounted inertial sensor, a GPS receiver and a barometric altitude sensor to reconstruct a subject’s path and detailed foot movement, both indoors and outdoors, during days-long measurement using strapdown navigation and sensor fusion algorithms. We cluster repeated movement paths based on location, and propose that on these paths, most environmental and behavioral factors (e.g., terrain and motivation) are as repeatable as in a laboratory. During each bout of movement along a frequently repeated path, any synchronized measurement can be isolated for study, enabling focused statistical comparison of different interventions. We conducted a 10-day test on one subject wearing athletic shoes and sandals each for five days. The algorithm detected four frequently-repeated straight walking paths with at least 300 total steps and repetitions on at least three days for each condition. Results on these frequently-repeated paths indicated significantly lower foot clearance and shorter stride length and a trend toward decreased stride width when wearing athletic shoes vs. sandals. Comparisons based on all straight walking were similar, showing greater statistical power, but higher variability in the data. The proposed method offers a new way to evaluate how mobility interventions affect everyday movement behavior. |
|---|---|
| AbstractList | Assessing interventions for mobility disorders using real-life movement remains an unsolved problem. We propose a new method combining the strengths of traditional laboratory studies where environment is strictly controlled, and field-based studies where subjects behave naturally. We use a foot-mounted inertial sensor, a GPS receiver and a barometric altitude sensor to reconstruct a subject's path and detailed foot movement, both indoors and outdoors, during days-long measurement using strapdown navigation and sensor fusion algorithms. We cluster repeated movement paths based on location, and propose that on these paths, most environmental and behavioral factors (e.g., terrain and motivation) are as repeatable as in a laboratory. During each bout of movement along a frequently repeated path, any synchronized measurement can be isolated for study, enabling focused statistical comparison of different interventions. We conducted a 10-day test on one subject wearing athletic shoes and sandals each for five days. The algorithm detected four frequently-repeated straight walking paths with at least 300 total steps and repetitions on at least three days for each condition. Results on these frequently-repeated paths indicated significantly lower foot clearance and shorter stride length and a trend toward decreased stride width when wearing athletic shoes vs. sandals. Comparisons based on all straight walking were similar, showing greater statistical power, but higher variability in the data. The proposed method offers a new way to evaluate how mobility interventions affect everyday movement behavior. Assessing interventions for mobility disorders using real-life movement remains an unsolved problem. We propose a new method combining the strengths of traditional laboratory studies where environment is strictly controlled, and field-based studies where subjects behave naturally. We use a foot-mounted inertial sensor, a GPS receiver and a barometric altitude sensor to reconstruct a subject's path and detailed foot movement, both indoors and outdoors, during days-long measurement using strapdown navigation and sensor fusion algorithms. We cluster repeated movement paths based on location, and propose that on these paths, most environmental and behavioral factors (e.g., terrain and motivation) are as repeatable as in a laboratory. During each bout of movement along a frequently repeated path, any synchronized measurement can be isolated for study, enabling focused statistical comparison of different interventions. We conducted a 10-day test on one subject wearing athletic shoes and sandals each for five days. The algorithm detected four frequently-repeated straight walking paths with at least 300 total steps and repetitions on at least three days for each condition. Results on these frequently-repeated paths indicated significantly lower foot clearance and shorter stride length and a trend toward decreased stride width when wearing athletic shoes vs. sandals. Comparisons based on all straight walking were similar, showing greater statistical power, but higher variability in the data. The proposed method offers a new way to evaluate how mobility interventions affect everyday movement behavior.Assessing interventions for mobility disorders using real-life movement remains an unsolved problem. We propose a new method combining the strengths of traditional laboratory studies where environment is strictly controlled, and field-based studies where subjects behave naturally. We use a foot-mounted inertial sensor, a GPS receiver and a barometric altitude sensor to reconstruct a subject's path and detailed foot movement, both indoors and outdoors, during days-long measurement using strapdown navigation and sensor fusion algorithms. We cluster repeated movement paths based on location, and propose that on these paths, most environmental and behavioral factors (e.g., terrain and motivation) are as repeatable as in a laboratory. During each bout of movement along a frequently repeated path, any synchronized measurement can be isolated for study, enabling focused statistical comparison of different interventions. We conducted a 10-day test on one subject wearing athletic shoes and sandals each for five days. The algorithm detected four frequently-repeated straight walking paths with at least 300 total steps and repetitions on at least three days for each condition. Results on these frequently-repeated paths indicated significantly lower foot clearance and shorter stride length and a trend toward decreased stride width when wearing athletic shoes vs. sandals. Comparisons based on all straight walking were similar, showing greater statistical power, but higher variability in the data. The proposed method offers a new way to evaluate how mobility interventions affect everyday movement behavior. |
| Author | Wang, Weixin Adamczyk, Peter Gabriel |
| AuthorAffiliation | Department of Mechanical Engineering, University of Wisconsin–Madison, Madison, WI 53706, USA; wwang442@wisc.edu |
| AuthorAffiliation_xml | – name: Department of Mechanical Engineering, University of Wisconsin–Madison, Madison, WI 53706, USA; wwang442@wisc.edu |
| Author_xml | – sequence: 1 givenname: Weixin surname: Wang fullname: Wang, Weixin – sequence: 2 givenname: Peter Gabriel orcidid: 0000-0001-5374-7691 surname: Adamczyk fullname: Adamczyk, Peter Gabriel |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/31022889$$D View this record in MEDLINE/PubMed |
| BookMark | eNplkktvEzEUhUeoiL5Y8AeQl7AI9XNib5CqipZKRUWUqkvrjudO4sqxgz2pFH49DmlLS1e27j3nO37c_WYnpohN847RT0IYelSYoZoZrl41e0xyOdGc050n-91mv5RbSrkQQr9pdgWjnGtt9prZcYSw_u3jjJyBH4mPZJwj-YEQyE3KoSfXZdO8QcjQBSTf0h0uMI7kCmNJuRCIPTnN-GtVi2FdnUuEEft_wu8wzsth83qAUPDt_XrQXJ9--XnydXJxeXZ-cnwxcVKycaLBgBNK9EOHvO2cFr2TXa32dKADtEpPuXGylRSpYKhbhijl0ANyptygxUFzvuX2CW7tMvsF5LVN4O3fQsozC3n0LqCl2IlhKg01qpNMVDMaDX0np1PjGEJlfd6ylqtugb2rl8kQnkGfd6Kf21m6s61iSihVAR_uATnV9ymjXfjiMASImFbFcs5abrhQm3O_f5r1GPLwU1VwtBW4nErJOFjnRxh92kT7YBm1m1mwj7NQHR__czxAX2r_AHFgtK0 |
| CitedBy_id | crossref_primary_10_3390_s21030813 crossref_primary_10_3390_s20216277 crossref_primary_10_1016_j_cobme_2023_100492 crossref_primary_10_1016_j_humov_2020_102690 crossref_primary_10_3389_fbioe_2020_00812 crossref_primary_10_3390_ijerph181910289 crossref_primary_10_3390_s20164466 crossref_primary_10_3390_s25165011 crossref_primary_10_3389_fnins_2020_00174 crossref_primary_10_3390_jcm12196211 crossref_primary_10_3390_ijerph182010848 crossref_primary_10_1016_j_jbiomech_2025_112495 crossref_primary_10_3390_s20174805 crossref_primary_10_3390_s20195625 crossref_primary_10_3390_s21196642 crossref_primary_10_3390_s24051480 crossref_primary_10_1016_j_jbiomech_2023_111726 crossref_primary_10_1109_TNSRE_2024_3366903 crossref_primary_10_3389_fphys_2020_00090 crossref_primary_10_1016_j_jbiomech_2024_112063 crossref_primary_10_1242_jeb_246181 crossref_primary_10_3389_fspor_2020_583848 crossref_primary_10_3390_s22186960 crossref_primary_10_1016_j_gaitpost_2022_08_012 crossref_primary_10_1152_japplphysiol_00294_2024 crossref_primary_10_1371_journal_pone_0249577 crossref_primary_10_1016_j_jbiomech_2023_111714 crossref_primary_10_3390_s21196451 |
| Cites_doi | 10.1179/caj.1993.30.1.46 10.1016/j.medengphy.2015.06.010 10.1097/JPO.0000000000000166 10.1186/1743-0003-9-9 10.1145/1620545.1620560 10.3390/s140203362 10.1145/1247480.1247546 10.1016/j.gaitpost.2013.05.012 10.1109/MCG.2005.140 10.1682/JRRD.2007.11.0197 10.1088/1361-6579/38/1/N1 10.1109/TBME.2006.889769 10.1177/2055668316636316 10.1016/j.jbiomech.2018.07.006 10.1109/WPNC.2010.5649300 10.1016/j.medengphy.2018.12.008 10.1109/TBME.2017.2724543 10.1016/j.jbiomech.2016.11.059 10.1016/j.jbiomech.2010.07.003 10.1016/S1386-5056(02)00048-5 10.1016/j.mechatronics.2013.06.007 10.1016/j.physa.2018.02.095 10.1109/TBME.2012.2216263 10.3233/NRE-151236 10.1109/TBME.2012.2227317 10.1016/j.jbiomech.2010.07.039 10.1093/gerona/glx254 10.1155/2016/3261567 10.1007/978-1-4614-1629-6_8 10.1016/j.jbiomech.2014.10.002 10.3390/s140100443 10.1109/IPIN.2011.6071916 |
| ContentType | Journal Article |
| Copyright | 2019 by the authors. 2019 |
| Copyright_xml | – notice: 2019 by the authors. 2019 |
| DBID | AAYXX CITATION CGR CUY CVF ECM EIF NPM 7X8 5PM DOA |
| DOI | 10.3390/s19081925 |
| DatabaseName | CrossRef Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed MEDLINE - Academic PubMed Central (Full Participant titles) DOAJ Directory of Open Access Journals |
| DatabaseTitle | CrossRef MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) MEDLINE - Academic |
| DatabaseTitleList | MEDLINE MEDLINE - Academic CrossRef |
| Database_xml | – sequence: 1 dbid: DOA name: DOAJ Open Access Full Text url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 2 dbid: NPM name: PubMed url: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 3 dbid: 7X8 name: MEDLINE - Academic url: https://search.proquest.com/medline sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering |
| EISSN | 1424-8220 |
| ExternalDocumentID | oai_doaj_org_article_0eb3f749095b413f83e98adb4779c1ea PMC6515355 31022889 10_3390_s19081925 |
| Genre | Journal Article |
| GroupedDBID | --- 123 2WC 53G 5VS 7X7 88E 8FE 8FG 8FI 8FJ AADQD AAHBH AAYXX ABDBF ABUWG ACUHS ADBBV ADMLS AENEX AFFHD AFKRA AFZYC ALMA_UNASSIGNED_HOLDINGS BENPR BPHCQ BVXVI CCPQU CITATION CS3 D1I DU5 E3Z EBD ESX F5P FYUFA GROUPED_DOAJ GX1 HH5 HMCUK HYE KQ8 L6V M1P M48 MODMG M~E OK1 OVT P2P P62 PHGZM PHGZT PIMPY PJZUB PPXIY PQQKQ PROAC PSQYO RNS RPM TUS UKHRP XSB ~8M ALIPV CGR CUY CVF ECM EIF NPM 7X8 PUEGO 5PM |
| ID | FETCH-LOGICAL-c441t-8a9ac353dfbe26bc83dc4b8a9d0f0fa658729c4640e031e861ee44fdae215cf83 |
| IEDL.DBID | DOA |
| ISICitedReferencesCount | 29 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000467644500179&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 1424-8220 |
| IngestDate | Fri Oct 03 12:53:40 EDT 2025 Tue Nov 04 02:01:12 EST 2025 Thu Sep 04 20:21:11 EDT 2025 Thu Apr 03 06:59:21 EDT 2025 Sat Nov 29 07:10:31 EST 2025 Tue Nov 18 22:31:37 EST 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 8 |
| Keywords | pedestrian dead-reckoning location tracking wearable sensor gait analysis gait variability |
| Language | English |
| License | Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c441t-8a9ac353dfbe26bc83dc4b8a9d0f0fa658729c4640e031e861ee44fdae215cf83 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
| ORCID | 0000-0001-5374-7691 |
| OpenAccessLink | https://doaj.org/article/0eb3f749095b413f83e98adb4779c1ea |
| PMID | 31022889 |
| PQID | 2216292358 |
| PQPubID | 23479 |
| ParticipantIDs | doaj_primary_oai_doaj_org_article_0eb3f749095b413f83e98adb4779c1ea pubmedcentral_primary_oai_pubmedcentral_nih_gov_6515355 proquest_miscellaneous_2216292358 pubmed_primary_31022889 crossref_citationtrail_10_3390_s19081925 crossref_primary_10_3390_s19081925 |
| PublicationCentury | 2000 |
| PublicationDate | 20190424 |
| PublicationDateYYYYMMDD | 2019-04-24 |
| PublicationDate_xml | – month: 4 year: 2019 text: 20190424 day: 24 |
| PublicationDecade | 2010 |
| PublicationPlace | Switzerland |
| PublicationPlace_xml | – name: Switzerland |
| PublicationTitle | Sensors (Basel, Switzerland) |
| PublicationTitleAlternate | Sensors (Basel) |
| PublicationYear | 2019 |
| Publisher | MDPI MDPI AG |
| Publisher_xml | – name: MDPI – name: MDPI AG |
| References | Dadashi (ref_20) 2013; 14 Foxlin (ref_26) 2005; 25 Godfrey (ref_11) 2018; 30 Zeng (ref_41) 2018; 500 Mariani (ref_17) 2012; 59 Rebula (ref_24) 2017; 53 ref_14 ref_36 ref_34 ref_10 ref_31 Bae (ref_7) 2013; 23 ref_30 Galna (ref_12) 2019; 74 Ojeda (ref_23) 2019; 64 ref_39 ref_38 Song (ref_22) 2018; 65 Mancini (ref_15) 2015; 37 Chow (ref_40) 2017; XLII-2/W7 Hickey (ref_3) 2016; 38 Gustafson (ref_37) 2002; 65 Raschke (ref_13) 2015; 48 Orendurff (ref_9) 2008; 45 (ref_2) 2014; 14 Mariani (ref_35) 2013; 60 Rebula (ref_19) 2013; 38 ref_42 Baten (ref_25) 2010; 43 Mariani (ref_18) 2010; 43 Visvalingam (ref_33) 1993; 30 ref_29 ref_28 ref_27 Zhang (ref_21) 2018; 77 Douglas (ref_32) 1973; 10 ref_5 ref_4 Cereatti (ref_16) 2012; 9 Ojeda (ref_1) 2015; 37 Schepers (ref_8) 2007; 54 ref_6 |
| References_xml | – ident: ref_28 – volume: 30 start-page: 46 year: 1993 ident: ref_33 article-title: Line generalisation by repeated elimination of points publication-title: Cartogr. J. doi: 10.1179/caj.1993.30.1.46 – volume: 37 start-page: 929 year: 2015 ident: ref_1 article-title: Influence of contextual task constraints on preferred stride parameters and their variabilities during human walking publication-title: Med. Eng. Phys. doi: 10.1016/j.medengphy.2015.06.010 – volume: 30 start-page: 20 year: 2018 ident: ref_11 article-title: The Accuracy and Validity of Modus Trex Activity Monitor in Determining Functional Level in Veterans with Transtibial Amputations publication-title: J. Prosthet. Orthot. doi: 10.1097/JPO.0000000000000166 – ident: ref_30 – ident: ref_5 – volume: 9 start-page: 9 year: 2012 ident: ref_16 article-title: Bilateral step length estimation using a single inertial measurement unit attached to the pelvis publication-title: J. NeuroEng. Rehabil. doi: 10.1186/1743-0003-9-9 – ident: ref_38 doi: 10.1145/1620545.1620560 – volume: 14 start-page: 3362 year: 2014 ident: ref_2 article-title: Gait Analysis Methods: An Overview of Wearable and Non-Wearable Systems, Highlighting Clinical Applications publication-title: Sensors doi: 10.3390/s140203362 – ident: ref_34 doi: 10.1145/1247480.1247546 – volume: 38 start-page: 974 year: 2013 ident: ref_19 article-title: Measurement of foot placement and its variability with inertial sensors publication-title: Gait Posture doi: 10.1016/j.gaitpost.2013.05.012 – volume: 25 start-page: 38 year: 2005 ident: ref_26 article-title: Pedestrian tracking with shoe-mounted inertial sensors publication-title: IEEE Comput. Graph. Appl. doi: 10.1109/MCG.2005.140 – volume: 45 start-page: 1077 year: 2008 ident: ref_9 article-title: How humans walk: Bout duration, steps per bout, and rest duration publication-title: J. Rehabil. Res. Dev. doi: 10.1682/JRRD.2007.11.0197 – volume: 38 start-page: N1 year: 2016 ident: ref_3 article-title: Detecting free-living steps and walking bouts: Validating an algorithm for macro gait analysis publication-title: Physiol. Meas. doi: 10.1088/1361-6579/38/1/N1 – volume: 54 start-page: 895 year: 2007 ident: ref_8 article-title: Ambulatory assessment of ankle and foot dynamics publication-title: IEEE Trans. Biomed. Eng. doi: 10.1109/TBME.2006.889769 – ident: ref_42 – ident: ref_10 doi: 10.1177/2055668316636316 – volume: 77 start-page: 155 year: 2018 ident: ref_21 article-title: Predicting foot placement for balance through a simple model with swing leg dynamics publication-title: J. Biomech. doi: 10.1016/j.jbiomech.2018.07.006 – ident: ref_27 doi: 10.1109/WPNC.2010.5649300 – volume: 64 start-page: 86 year: 2019 ident: ref_23 article-title: Reconstruction of body motion during self-reported losses of balance in community-dwelling older adults publication-title: Med. Eng. Phys. doi: 10.1016/j.medengphy.2018.12.008 – ident: ref_6 – volume: 65 start-page: 885 year: 2018 ident: ref_22 article-title: An Ambulatory Gait Monitoring System with Activity Classification and Gait Parameter Calculation Based on a Single Foot Inertial Sensor publication-title: IEEE Trans. Biomed. Eng. doi: 10.1109/TBME.2017.2724543 – volume: 53 start-page: 1 year: 2017 ident: ref_24 article-title: The stabilizing properties of foot yaw in human walking publication-title: J. Biomech. doi: 10.1016/j.jbiomech.2016.11.059 – ident: ref_4 – ident: ref_31 – volume: 43 start-page: 2999 year: 2010 ident: ref_18 article-title: 3D gait assessment in young and elderly subjects using foot-worn inertial sensors publication-title: J. Biomech. doi: 10.1016/j.jbiomech.2010.07.003 – ident: ref_29 – volume: 65 start-page: 169 year: 2002 ident: ref_37 article-title: CHESS: 10 years of research and development in consumer health informatics for broad populations, including the underserved publication-title: Int. J. Med. Inf. doi: 10.1016/S1386-5056(02)00048-5 – volume: 23 start-page: 646 year: 2013 ident: ref_7 article-title: A tele-monitoring system for gait rehabilitation with an inertial measurement unit and a shoe-type ground reaction force sensor publication-title: Mechatronics doi: 10.1016/j.mechatronics.2013.06.007 – volume: 500 start-page: 237 year: 2018 ident: ref_41 article-title: Experimental and modeling study on relation of pedestrian step length and frequency under different headways publication-title: Phys. Stat. Mech. Its Appl. doi: 10.1016/j.physa.2018.02.095 – volume: 59 start-page: 3162 year: 2012 ident: ref_17 article-title: Heel and toe clearance estimation for gait analysis using wireless inertial sensors publication-title: IEEE Trans. Biomed. Eng. doi: 10.1109/TBME.2012.2216263 – volume: 37 start-page: 3 year: 2015 ident: ref_15 article-title: Continuous monitoring of turning in Parkinson’s disease: Rehabilitation potential publication-title: NeuroRehabilitation doi: 10.3233/NRE-151236 – volume: 10 start-page: 112 year: 1973 ident: ref_32 article-title: Algorithms for the Reduction of the Number of Points Required to Represent a Digitized Line or Its Caricature publication-title: Cartogr. Int. J. Geogr. Inf. Geovisualization – volume: 60 start-page: 155 year: 2013 ident: ref_35 article-title: On-shoe wearable sensors for gait and turning assessment of patients with Parkinson’s disease publication-title: IEEE Trans. Biomed. Eng. doi: 10.1109/TBME.2012.2227317 – volume: 43 start-page: 3138 year: 2010 ident: ref_25 article-title: Ambulatory estimation of foot placement during walking using inertial sensors publication-title: J. Biomech. doi: 10.1016/j.jbiomech.2010.07.039 – volume: 74 start-page: 500 year: 2019 ident: ref_12 article-title: Analysis of Free-Living Gait in Older Adults with and without Parkinson’s Disease and With and Without a History of Falls: Identifying Generic and Disease-Specific Characteristics publication-title: J. Gerontol. Ser. A doi: 10.1093/gerona/glx254 – ident: ref_14 doi: 10.1155/2016/3261567 – ident: ref_36 doi: 10.1007/978-1-4614-1629-6_8 – volume: 48 start-page: 146 year: 2015 ident: ref_13 article-title: Biomechanical characteristics, patient preference and activity level with different prosthetic feet: A randomized double blind trial with laboratory and community testing publication-title: J. Biomech. doi: 10.1016/j.jbiomech.2014.10.002 – volume: 14 start-page: 443 year: 2013 ident: ref_20 article-title: Gait and Foot Clearance Parameters Obtained Using Shoe-Worn Inertial Sensors in a Large-Population Sample of Older Adults publication-title: Sensors doi: 10.3390/s140100443 – ident: ref_39 doi: 10.1109/IPIN.2011.6071916 – volume: XLII-2/W7 start-page: 339 year: 2017 ident: ref_40 article-title: Drift-Free Indoor Navigation Using Simultaneous Localization and Mapping of the Ambient Heterogeneous Magnetic Field publication-title: ISPRS Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. |
| SSID | ssj0023338 |
| Score | 2.4202695 |
| Snippet | Assessing interventions for mobility disorders using real-life movement remains an unsolved problem. We propose a new method combining the strengths of... |
| SourceID | doaj pubmedcentral proquest pubmed crossref |
| SourceType | Open Website Open Access Repository Aggregation Database Index Database Enrichment Source |
| StartPage | 1925 |
| SubjectTerms | Accelerometry - methods Algorithms Gait - physiology gait analysis Gait Analysis - methods gait variability Humans location tracking pedestrian dead-reckoning Range of Motion, Articular - physiology Walking - physiology Wearable Electronic Devices wearable sensor |
| Title | Analyzing Gait in the Real World Using Wearable Movement Sensors and Frequently Repeated Movement Paths |
| URI | https://www.ncbi.nlm.nih.gov/pubmed/31022889 https://www.proquest.com/docview/2216292358 https://pubmed.ncbi.nlm.nih.gov/PMC6515355 https://doaj.org/article/0eb3f749095b413f83e98adb4779c1ea |
| Volume | 19 |
| WOSCitedRecordID | wos000467644500179&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVAON databaseName: DOAJ Open Access Full Text customDbUrl: eissn: 1424-8220 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0023338 issn: 1424-8220 databaseCode: DOA dateStart: 20010101 isFulltext: true titleUrlDefault: https://www.doaj.org/ providerName: Directory of Open Access Journals – providerCode: PRVHPJ databaseName: ROAD: Directory of Open Access Scholarly Resources customDbUrl: eissn: 1424-8220 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0023338 issn: 1424-8220 databaseCode: M~E dateStart: 20010101 isFulltext: true titleUrlDefault: https://road.issn.org providerName: ISSN International Centre – providerCode: PRVPQU databaseName: Health & Medical Collection customDbUrl: eissn: 1424-8220 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0023338 issn: 1424-8220 databaseCode: 7X7 dateStart: 20010101 isFulltext: true titleUrlDefault: https://search.proquest.com/healthcomplete providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Central customDbUrl: eissn: 1424-8220 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0023338 issn: 1424-8220 databaseCode: BENPR dateStart: 20010101 isFulltext: true titleUrlDefault: https://www.proquest.com/central providerName: ProQuest – providerCode: PRVPQU databaseName: Publicly Available Content Database customDbUrl: eissn: 1424-8220 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0023338 issn: 1424-8220 databaseCode: PIMPY dateStart: 20010101 isFulltext: true titleUrlDefault: http://search.proquest.com/publiccontent providerName: ProQuest |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1Lj9MwEB7BwgEOiDfhURnEgUu0SWzH9pFFLXBoFS0gyily_IBKq3TVZJHgwG9n7KSlRStx4WJFzkSxZsb2N_L4G4CXzEvOhPOppbxMmS2bVDNRpNorwxXPMmdNLDYhFgu5XKpqr9RXyAkb6IEHxR1nGO15wRRCgQYXXC-pU1LbhgmhTO4iNMqE2gZTY6hFMfIaeIQoBvXHHW57gfmLH-w-kaT_MmT5d4Lk3o4zuw23RqhIXg9DvANXXHsXbu4RCN6Dr5FT5Cc-k7d61ZNVSxDQkVNEfySmyZCYEkA-oz-HO1Jkvo784D35gOHretMR3Voy28R86v7sB355jouzs38EK4SI3X34NJt-fPMuHUsnpAbxTZ9KrbShnFrfuKJsjKTWsAZ7beYzrxF2IKg2rGSZw1ntZJk7x5i32iEEMKjkB3DUrlv3CAiX0jpPJaMNY4Vm2liOUsrmxhe55Qm82qq0NiOveChvcVZjfBG0X--0n8CLnej5QKZxmdBJsMtOIPBfxw70inr0ivpfXpHA861Va5wv4RBEt2590dVFkZeFCheEE3g4WHn3KxrCXylVAuLA_gdjOXzTrr5FTu5QUR6h2-P_MfgncANhWTyzKthTOOo3F-4ZXDff-1W3mcBVsRSxlRO4djJdVKeT6PzYzn9Nsa96P6--_AbZ7Qx- |
| linkProvider | Directory of Open Access Journals |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Analyzing+Gait+in+the+Real+World+Using+Wearable+Movement+Sensors+and+Frequently+Repeated+Movement+Paths&rft.jtitle=Sensors+%28Basel%2C+Switzerland%29&rft.au=Wang%2C+Weixin&rft.au=Adamczyk%2C+Peter+Gabriel&rft.date=2019-04-24&rft.issn=1424-8220&rft.eissn=1424-8220&rft.volume=19&rft.issue=8&rft_id=info:doi/10.3390%2Fs19081925&rft.externalDBID=NO_FULL_TEXT |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1424-8220&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1424-8220&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1424-8220&client=summon |