IoT-Based Solution for Detecting and Monitoring Upper Crossed Syndrome Article Swipe
Ammar Shaheen
,
Hisham Kazim
,
Mazen Eltawil
,
Raafat Aburukba
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/s24010135
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/s24010135
A sedentary lifestyle has caused adults to spend more than 6 h seated, which has led to inactivity and spinal issues. This context underscores the growing sedentary behavior, exemplified by extended sitting hours among adults and university students. Such inactivity triggers various health problems and spinal disorders, notably Upper Crossed Syndrome (UCS) and its association with thoracic kyphosis, which can cause severe spinal curvature and related complications. Traditional detection involves clinical assessments and corrective exercises; however, this work proposes a multi-layered system for a back brace to detect, monitor, and potentially prevent the main signs of UCS. Building and using a framework that detects and monitors signs of UCS has facilitated patient–doctor interaction, automated the detection process for improved patient–physician coordination, and helped improve patients’ spines over time. The smart wearable brace includes inertial measurement unit (IMU) sensors targeting hunched-back postures. The IMU sensors capture postural readings, which are then used for classification. Multiple classifiers were used where the long short-term memory (LSTM) model had the highest accuracy of 99.3%. Using the classifier helped detect and monitor UCS over time. Integrating the wearable device with a mobile interface enables real-time data visualization and immediate feedback for users to correct and mitigate UCS-related issues.
Related Topics
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/s24010135
- https://www.mdpi.com/1424-8220/24/1/135/pdf?version=1703585967
- OA Status
- gold
- Cited By
- 5
- References
- 38
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4390269513
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4390269513Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/s24010135Digital Object Identifier
- Title
-
IoT-Based Solution for Detecting and Monitoring Upper Crossed SyndromeWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-12-26Full publication date if available
- Authors
-
Ammar Shaheen, Hisham Kazim, Mazen Eltawil, Raafat AburukbaList of authors in order
- Landing page
-
https://doi.org/10.3390/s24010135Publisher landing page
- PDF URL
-
https://www.mdpi.com/1424-8220/24/1/135/pdf?version=1703585967Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/1424-8220/24/1/135/pdf?version=1703585967Direct OA link when available
- Concepts
-
Internet of Things, Computer science, Real-time computing, Embedded systemTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
5Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 2, 2024: 3Per-year citation counts (last 5 years)
- References (count)
-
38Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4390269513 |
|---|---|
| doi | https://doi.org/10.3390/s24010135 |
| ids.doi | https://doi.org/10.3390/s24010135 |
| ids.pmid | https://pubmed.ncbi.nlm.nih.gov/38202995 |
| ids.openalex | https://openalex.org/W4390269513 |
| fwci | 0.79439025 |
| mesh[0].qualifier_ui | |
| mesh[0].descriptor_ui | D000328 |
| mesh[0].is_major_topic | False |
| mesh[0].qualifier_name | |
| mesh[0].descriptor_name | Adult |
| mesh[1].qualifier_ui | |
| mesh[1].descriptor_ui | D006801 |
| mesh[1].is_major_topic | False |
| mesh[1].qualifier_name | |
| mesh[1].descriptor_name | Humans |
| mesh[2].qualifier_ui | |
| mesh[2].descriptor_ui | D000078326 |
| mesh[2].is_major_topic | True |
| mesh[2].qualifier_name | |
| mesh[2].descriptor_name | Data Visualization |
| mesh[3].qualifier_ui | |
| mesh[3].descriptor_ui | D004143 |
| mesh[3].is_major_topic | True |
| mesh[3].qualifier_name | |
| mesh[3].descriptor_name | Dioctyl Sulfosuccinic Acid |
| mesh[4].qualifier_ui | |
| mesh[4].descriptor_ui | D015444 |
| mesh[4].is_major_topic | False |
| mesh[4].qualifier_name | |
| mesh[4].descriptor_name | Exercise |
| mesh[5].qualifier_ui | |
| mesh[5].descriptor_ui | D005081 |
| mesh[5].is_major_topic | False |
| mesh[5].qualifier_name | |
| mesh[5].descriptor_name | Exercise Therapy |
| mesh[6].qualifier_ui | |
| mesh[6].descriptor_ui | D000015 |
| mesh[6].is_major_topic | True |
| mesh[6].qualifier_name | |
| mesh[6].descriptor_name | Abnormalities, Multiple |
| mesh[7].qualifier_ui | |
| mesh[7].descriptor_ui | D010859 |
| mesh[7].is_major_topic | True |
| mesh[7].qualifier_name | |
| mesh[7].descriptor_name | Pigmentation Disorders |
| mesh[8].qualifier_ui | |
| mesh[8].descriptor_ui | D019465 |
| mesh[8].is_major_topic | True |
| mesh[8].qualifier_name | |
| mesh[8].descriptor_name | Craniofacial Abnormalities |
| mesh[9].qualifier_ui | |
| mesh[9].descriptor_ui | D000328 |
| mesh[9].is_major_topic | False |
| mesh[9].qualifier_name | |
| mesh[9].descriptor_name | Adult |
| mesh[10].qualifier_ui | |
| mesh[10].descriptor_ui | D006801 |
| mesh[10].is_major_topic | False |
| mesh[10].qualifier_name | |
| mesh[10].descriptor_name | Humans |
| mesh[11].qualifier_ui | |
| mesh[11].descriptor_ui | D000078326 |
| mesh[11].is_major_topic | True |
| mesh[11].qualifier_name | |
| mesh[11].descriptor_name | Data Visualization |
| mesh[12].qualifier_ui | |
| mesh[12].descriptor_ui | D004143 |
| mesh[12].is_major_topic | True |
| mesh[12].qualifier_name | |
| mesh[12].descriptor_name | Dioctyl Sulfosuccinic Acid |
| mesh[13].qualifier_ui | |
| mesh[13].descriptor_ui | D015444 |
| mesh[13].is_major_topic | False |
| mesh[13].qualifier_name | |
| mesh[13].descriptor_name | Exercise |
| mesh[14].qualifier_ui | |
| mesh[14].descriptor_ui | D005081 |
| mesh[14].is_major_topic | False |
| mesh[14].qualifier_name | |
| mesh[14].descriptor_name | Exercise Therapy |
| mesh[15].qualifier_ui | |
| mesh[15].descriptor_ui | D000015 |
| mesh[15].is_major_topic | True |
| mesh[15].qualifier_name | |
| mesh[15].descriptor_name | Abnormalities, Multiple |
| mesh[16].qualifier_ui | |
| mesh[16].descriptor_ui | D010859 |
| mesh[16].is_major_topic | True |
| mesh[16].qualifier_name | |
| mesh[16].descriptor_name | Pigmentation Disorders |
| mesh[17].qualifier_ui | |
| mesh[17].descriptor_ui | D019465 |
| mesh[17].is_major_topic | True |
| mesh[17].qualifier_name | |
| mesh[17].descriptor_name | Craniofacial Abnormalities |
| mesh[18].qualifier_ui | |
| mesh[18].descriptor_ui | D000328 |
| mesh[18].is_major_topic | False |
| mesh[18].qualifier_name | |
| mesh[18].descriptor_name | Adult |
| mesh[19].qualifier_ui | |
| mesh[19].descriptor_ui | D006801 |
| mesh[19].is_major_topic | False |
| mesh[19].qualifier_name | |
| mesh[19].descriptor_name | Humans |
| mesh[20].qualifier_ui | |
| mesh[20].descriptor_ui | D000078326 |
| mesh[20].is_major_topic | True |
| mesh[20].qualifier_name | |
| mesh[20].descriptor_name | Data Visualization |
| mesh[21].qualifier_ui | |
| mesh[21].descriptor_ui | D004143 |
| mesh[21].is_major_topic | True |
| mesh[21].qualifier_name | |
| mesh[21].descriptor_name | Dioctyl Sulfosuccinic Acid |
| mesh[22].qualifier_ui | |
| mesh[22].descriptor_ui | D015444 |
| mesh[22].is_major_topic | False |
| mesh[22].qualifier_name | |
| mesh[22].descriptor_name | Exercise |
| mesh[23].qualifier_ui | |
| mesh[23].descriptor_ui | D005081 |
| mesh[23].is_major_topic | False |
| mesh[23].qualifier_name | |
| mesh[23].descriptor_name | Exercise Therapy |
| mesh[24].qualifier_ui | |
| mesh[24].descriptor_ui | D000015 |
| mesh[24].is_major_topic | True |
| mesh[24].qualifier_name | |
| mesh[24].descriptor_name | Abnormalities, Multiple |
| mesh[25].qualifier_ui | |
| mesh[25].descriptor_ui | D010859 |
| mesh[25].is_major_topic | True |
| mesh[25].qualifier_name | |
| mesh[25].descriptor_name | Pigmentation Disorders |
| mesh[26].qualifier_ui | |
| mesh[26].descriptor_ui | D019465 |
| mesh[26].is_major_topic | True |
| mesh[26].qualifier_name | |
| mesh[26].descriptor_name | Craniofacial Abnormalities |
| type | article |
| title | IoT-Based Solution for Detecting and Monitoring Upper Crossed Syndrome |
| awards[0].id | https://openalex.org/G4298116157 |
| awards[0].funder_id | https://openalex.org/F4320321430 |
| awards[0].display_name | |
| awards[0].funder_award_id | CEN-URG-F22-35 |
| awards[0].funder_display_name | American University of Sharjah |
| biblio.issue | 1 |
| biblio.volume | 24 |
| biblio.last_page | 135 |
| biblio.first_page | 135 |
| topics[0].id | https://openalex.org/T10784 |
| topics[0].field.id | https://openalex.org/fields/22 |
| topics[0].field.display_name | Engineering |
| topics[0].score | 0.9871000051498413 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2204 |
| topics[0].subfield.display_name | Biomedical Engineering |
| topics[0].display_name | Muscle activation and electromyography studies |
| topics[1].id | https://openalex.org/T10429 |
| topics[1].field.id | https://openalex.org/fields/28 |
| topics[1].field.display_name | Neuroscience |
| topics[1].score | 0.9661999940872192 |
| topics[1].domain.id | https://openalex.org/domains/1 |
| topics[1].domain.display_name | Life Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/2805 |
| topics[1].subfield.display_name | Cognitive Neuroscience |
| topics[1].display_name | EEG and Brain-Computer Interfaces |
| funders[0].id | https://openalex.org/F4320321430 |
| funders[0].ror | https://ror.org/001g2fj96 |
| funders[0].display_name | American University of Sharjah |
| is_xpac | False |
| apc_list.value | 2400 |
| apc_list.currency | CHF |
| apc_list.value_usd | 2598 |
| apc_paid.value | 2400 |
| apc_paid.currency | CHF |
| apc_paid.value_usd | 2598 |
| concepts[0].id | https://openalex.org/C81860439 |
| concepts[0].level | 2 |
| concepts[0].score | 0.4877792000770569 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q251212 |
| concepts[0].display_name | Internet of Things |
| concepts[1].id | https://openalex.org/C41008148 |
| concepts[1].level | 0 |
| concepts[1].score | 0.46389010548591614 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[1].display_name | Computer science |
| concepts[2].id | https://openalex.org/C79403827 |
| concepts[2].level | 1 |
| concepts[2].score | 0.3826723098754883 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q3988 |
| concepts[2].display_name | Real-time computing |
| concepts[3].id | https://openalex.org/C149635348 |
| concepts[3].level | 1 |
| concepts[3].score | 0.29918837547302246 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q193040 |
| concepts[3].display_name | Embedded system |
| keywords[0].id | https://openalex.org/keywords/internet-of-things |
| keywords[0].score | 0.4877792000770569 |
| keywords[0].display_name | Internet of Things |
| keywords[1].id | https://openalex.org/keywords/computer-science |
| keywords[1].score | 0.46389010548591614 |
| keywords[1].display_name | Computer science |
| keywords[2].id | https://openalex.org/keywords/real-time-computing |
| keywords[2].score | 0.3826723098754883 |
| keywords[2].display_name | Real-time computing |
| keywords[3].id | https://openalex.org/keywords/embedded-system |
| keywords[3].score | 0.29918837547302246 |
| keywords[3].display_name | Embedded system |
| language | en |
| locations[0].id | doi:10.3390/s24010135 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S101949793 |
| locations[0].source.issn | 1424-8220 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 1424-8220 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | True |
| locations[0].source.display_name | Sensors |
| locations[0].source.host_organization | https://openalex.org/P4310310987 |
| locations[0].source.host_organization_name | Multidisciplinary Digital Publishing Institute |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310310987 |
| locations[0].source.host_organization_lineage_names | Multidisciplinary Digital Publishing Institute |
| locations[0].license | cc-by |
| locations[0].pdf_url | https://www.mdpi.com/1424-8220/24/1/135/pdf?version=1703585967 |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Sensors |
| locations[0].landing_page_url | https://doi.org/10.3390/s24010135 |
| locations[1].id | pmid:38202995 |
| locations[1].is_oa | False |
| locations[1].source.id | https://openalex.org/S4306525036 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | False |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | PubMed |
| locations[1].source.host_organization | https://openalex.org/I1299303238 |
| locations[1].source.host_organization_name | National Institutes of Health |
| locations[1].source.host_organization_lineage | https://openalex.org/I1299303238 |
| locations[1].license | |
| locations[1].pdf_url | |
| locations[1].version | publishedVersion |
| locations[1].raw_type | |
| locations[1].license_id | |
| locations[1].is_accepted | True |
| locations[1].is_published | True |
| locations[1].raw_source_name | Sensors (Basel, Switzerland) |
| locations[1].landing_page_url | https://pubmed.ncbi.nlm.nih.gov/38202995 |
| locations[2].id | pmh:oai:pubmedcentral.nih.gov:10781312 |
| locations[2].is_oa | True |
| locations[2].source.id | https://openalex.org/S2764455111 |
| locations[2].source.issn | |
| locations[2].source.type | repository |
| locations[2].source.is_oa | False |
| locations[2].source.issn_l | |
| locations[2].source.is_core | False |
| locations[2].source.is_in_doaj | False |
| locations[2].source.display_name | PubMed Central |
| locations[2].source.host_organization | https://openalex.org/I1299303238 |
| locations[2].source.host_organization_name | National Institutes of Health |
| locations[2].source.host_organization_lineage | https://openalex.org/I1299303238 |
| locations[2].license | cc-by |
| locations[2].pdf_url | https://pmc.ncbi.nlm.nih.gov/articles/PMC10781312/pdf/sensors-24-00135.pdf |
| locations[2].version | submittedVersion |
| locations[2].raw_type | Text |
| locations[2].license_id | https://openalex.org/licenses/cc-by |
| locations[2].is_accepted | False |
| locations[2].is_published | False |
| locations[2].raw_source_name | Sensors (Basel) |
| locations[2].landing_page_url | https://www.ncbi.nlm.nih.gov/pmc/articles/10781312 |
| locations[3].id | pmh:oai:doaj.org/article:b3e0afaf950c425cae3210ac0a7edf37 |
| locations[3].is_oa | False |
| locations[3].source.id | https://openalex.org/S4306401280 |
| locations[3].source.issn | |
| locations[3].source.type | repository |
| locations[3].source.is_oa | False |
| locations[3].source.issn_l | |
| locations[3].source.is_core | False |
| locations[3].source.is_in_doaj | False |
| locations[3].source.display_name | DOAJ (DOAJ: Directory of Open Access Journals) |
| locations[3].source.host_organization | |
| locations[3].source.host_organization_name | |
| locations[3].license | |
| locations[3].pdf_url | |
| locations[3].version | submittedVersion |
| locations[3].raw_type | article |
| locations[3].license_id | |
| locations[3].is_accepted | False |
| locations[3].is_published | False |
| locations[3].raw_source_name | Sensors, Vol 24, Iss 1, p 135 (2023) |
| locations[3].landing_page_url | https://doaj.org/article/b3e0afaf950c425cae3210ac0a7edf37 |
| indexed_in | crossref, doaj, pubmed |
| authorships[0].author.id | https://openalex.org/A5108889335 |
| authorships[0].author.orcid | |
| authorships[0].author.display_name | Ammar Shaheen |
| authorships[0].countries | AE |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I199440890 |
| authorships[0].affiliations[0].raw_affiliation_string | Department of Computer Science and Engineering, American University of Sharjah, Sharjah P.O. Box 26666, United Arab Emirates |
| authorships[0].institutions[0].id | https://openalex.org/I199440890 |
| authorships[0].institutions[0].ror | https://ror.org/001g2fj96 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I199440890 |
| authorships[0].institutions[0].country_code | AE |
| authorships[0].institutions[0].display_name | American University of Sharjah |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Ammar Shaheen |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | Department of Computer Science and Engineering, American University of Sharjah, Sharjah P.O. Box 26666, United Arab Emirates |
| authorships[1].author.id | https://openalex.org/A5091995083 |
| authorships[1].author.orcid | |
| authorships[1].author.display_name | Hisham Kazim |
| authorships[1].countries | AE |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I199440890 |
| authorships[1].affiliations[0].raw_affiliation_string | Department of Computer Science and Engineering, American University of Sharjah, Sharjah P.O. Box 26666, United Arab Emirates |
| authorships[1].institutions[0].id | https://openalex.org/I199440890 |
| authorships[1].institutions[0].ror | https://ror.org/001g2fj96 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I199440890 |
| authorships[1].institutions[0].country_code | AE |
| authorships[1].institutions[0].display_name | American University of Sharjah |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Hisham Kazim |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Department of Computer Science and Engineering, American University of Sharjah, Sharjah P.O. Box 26666, United Arab Emirates |
| authorships[2].author.id | https://openalex.org/A5093590215 |
| authorships[2].author.orcid | |
| authorships[2].author.display_name | Mazen Eltawil |
| authorships[2].countries | AE |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I199440890 |
| authorships[2].affiliations[0].raw_affiliation_string | Department of Computer Science and Engineering, American University of Sharjah, Sharjah P.O. Box 26666, United Arab Emirates |
| authorships[2].institutions[0].id | https://openalex.org/I199440890 |
| authorships[2].institutions[0].ror | https://ror.org/001g2fj96 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I199440890 |
| authorships[2].institutions[0].country_code | AE |
| authorships[2].institutions[0].display_name | American University of Sharjah |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Mazen Eltawil |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | Department of Computer Science and Engineering, American University of Sharjah, Sharjah P.O. Box 26666, United Arab Emirates |
| authorships[3].author.id | https://openalex.org/A5030226761 |
| authorships[3].author.orcid | https://orcid.org/0000-0003-2695-5836 |
| authorships[3].author.display_name | Raafat Aburukba |
| authorships[3].countries | AE |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I199440890 |
| authorships[3].affiliations[0].raw_affiliation_string | Department of Computer Science and Engineering, American University of Sharjah, Sharjah P.O. Box 26666, United Arab Emirates |
| authorships[3].institutions[0].id | https://openalex.org/I199440890 |
| authorships[3].institutions[0].ror | https://ror.org/001g2fj96 |
| authorships[3].institutions[0].type | education |
| authorships[3].institutions[0].lineage | https://openalex.org/I199440890 |
| authorships[3].institutions[0].country_code | AE |
| authorships[3].institutions[0].display_name | American University of Sharjah |
| authorships[3].author_position | last |
| authorships[3].raw_author_name | Raafat Aburukba |
| authorships[3].is_corresponding | True |
| authorships[3].raw_affiliation_strings | Department of Computer Science and Engineering, American University of Sharjah, Sharjah P.O. Box 26666, United Arab Emirates |
| has_content.pdf | True |
| has_content.grobid_xml | True |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://www.mdpi.com/1424-8220/24/1/135/pdf?version=1703585967 |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | IoT-Based Solution for Detecting and Monitoring Upper Crossed Syndrome |
| has_fulltext | True |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T10784 |
| primary_topic.field.id | https://openalex.org/fields/22 |
| primary_topic.field.display_name | Engineering |
| primary_topic.score | 0.9871000051498413 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2204 |
| primary_topic.subfield.display_name | Biomedical Engineering |
| primary_topic.display_name | Muscle activation and electromyography studies |
| related_works | https://openalex.org/W4391375266, https://openalex.org/W2899084033, https://openalex.org/W2748952813, https://openalex.org/W4245926026, https://openalex.org/W4311097251, https://openalex.org/W2586548817, https://openalex.org/W2390279801, https://openalex.org/W2625093826, https://openalex.org/W4391913857, https://openalex.org/W2358668433 |
| cited_by_count | 5 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 2 |
| counts_by_year[1].year | 2024 |
| counts_by_year[1].cited_by_count | 3 |
| locations_count | 4 |
| best_oa_location.id | doi:10.3390/s24010135 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S101949793 |
| best_oa_location.source.issn | 1424-8220 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 1424-8220 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | True |
| best_oa_location.source.display_name | Sensors |
| best_oa_location.source.host_organization | https://openalex.org/P4310310987 |
| best_oa_location.source.host_organization_name | Multidisciplinary Digital Publishing Institute |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310310987 |
| best_oa_location.source.host_organization_lineage_names | Multidisciplinary Digital Publishing Institute |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | https://www.mdpi.com/1424-8220/24/1/135/pdf?version=1703585967 |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | Sensors |
| best_oa_location.landing_page_url | https://doi.org/10.3390/s24010135 |
| primary_location.id | doi:10.3390/s24010135 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S101949793 |
| primary_location.source.issn | 1424-8220 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 1424-8220 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | True |
| primary_location.source.display_name | Sensors |
| primary_location.source.host_organization | https://openalex.org/P4310310987 |
| primary_location.source.host_organization_name | Multidisciplinary Digital Publishing Institute |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310310987 |
| primary_location.source.host_organization_lineage_names | Multidisciplinary Digital Publishing Institute |
| primary_location.license | cc-by |
| primary_location.pdf_url | https://www.mdpi.com/1424-8220/24/1/135/pdf?version=1703585967 |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Sensors |
| primary_location.landing_page_url | https://doi.org/10.3390/s24010135 |
| publication_date | 2023-12-26 |
| publication_year | 2023 |
| referenced_works | https://openalex.org/W3081855355, https://openalex.org/W3120960804, https://openalex.org/W3208974370, https://openalex.org/W4320494749, https://openalex.org/W4225774495, https://openalex.org/W2758132823, https://openalex.org/W3001740406, https://openalex.org/W3160316276, https://openalex.org/W4226050329, https://openalex.org/W4282053593, https://openalex.org/W2563759987, https://openalex.org/W2919984822, https://openalex.org/W2557013366, https://openalex.org/W2756277207, https://openalex.org/W2347010858, https://openalex.org/W2775109740, https://openalex.org/W2767924171, https://openalex.org/W4387140183, https://openalex.org/W3004827807, https://openalex.org/W3119426126, https://openalex.org/W4313572591, https://openalex.org/W4320495880, https://openalex.org/W4382722694, https://openalex.org/W4386168717, https://openalex.org/W1980185928, https://openalex.org/W6703390339, https://openalex.org/W2994669718, https://openalex.org/W3020267015, https://openalex.org/W2014760358, https://openalex.org/W2890307607, https://openalex.org/W4321004476, https://openalex.org/W4281491949, https://openalex.org/W3169489072, https://openalex.org/W3162641449, https://openalex.org/W4294691851, https://openalex.org/W3136267091, https://openalex.org/W3086833944, https://openalex.org/W2336286813 |
| referenced_works_count | 38 |
| abstract_inverted_index.6 | 10 |
| abstract_inverted_index.A | 0 |
| abstract_inverted_index.a | 79, 83, 100, 185 |
| abstract_inverted_index.h | 11 |
| abstract_inverted_index.by | 29 |
| abstract_inverted_index.of | 95, 107, 168 |
| abstract_inverted_index.to | 6, 16, 86, 197 |
| abstract_inverted_index.IMU | 142 |
| abstract_inverted_index.The | 128, 141 |
| abstract_inverted_index.UCS | 108, 177 |
| abstract_inverted_index.and | 18, 35, 44, 52, 64, 72, 89, 98, 104, 121, 175, 192, 199 |
| abstract_inverted_index.are | 148 |
| abstract_inverted_index.can | 59 |
| abstract_inverted_index.for | 82, 117, 151, 195 |
| abstract_inverted_index.had | 164 |
| abstract_inverted_index.has | 3, 14, 109 |
| abstract_inverted_index.its | 53 |
| abstract_inverted_index.led | 15 |
| abstract_inverted_index.the | 24, 92, 114, 158, 165, 171, 181 |
| abstract_inverted_index.Such | 38 |
| abstract_inverted_index.This | 21 |
| abstract_inverted_index.UCS. | 96 |
| abstract_inverted_index.back | 84 |
| abstract_inverted_index.data | 190 |
| abstract_inverted_index.long | 159 |
| abstract_inverted_index.main | 93 |
| abstract_inverted_index.more | 8 |
| abstract_inverted_index.over | 126, 178 |
| abstract_inverted_index.than | 9 |
| abstract_inverted_index.that | 102 |
| abstract_inverted_index.then | 149 |
| abstract_inverted_index.this | 76 |
| abstract_inverted_index.unit | 135 |
| abstract_inverted_index.used | 150, 156 |
| abstract_inverted_index.were | 155 |
| abstract_inverted_index.with | 55, 184 |
| abstract_inverted_index.work | 77 |
| abstract_inverted_index.(IMU) | 136 |
| abstract_inverted_index.(UCS) | 51 |
| abstract_inverted_index.Upper | 48 |
| abstract_inverted_index.Using | 170 |
| abstract_inverted_index.among | 33 |
| abstract_inverted_index.brace | 85, 131 |
| abstract_inverted_index.cause | 60 |
| abstract_inverted_index.hours | 32 |
| abstract_inverted_index.model | 163 |
| abstract_inverted_index.signs | 94, 106 |
| abstract_inverted_index.smart | 129 |
| abstract_inverted_index.spend | 7 |
| abstract_inverted_index.time. | 127, 179 |
| abstract_inverted_index.users | 196 |
| abstract_inverted_index.using | 99 |
| abstract_inverted_index.where | 157 |
| abstract_inverted_index.which | 13, 58, 147 |
| abstract_inverted_index.(LSTM) | 162 |
| abstract_inverted_index.99.3%. | 169 |
| abstract_inverted_index.adults | 5, 34 |
| abstract_inverted_index.caused | 4 |
| abstract_inverted_index.detect | 174 |
| abstract_inverted_index.device | 183 |
| abstract_inverted_index.health | 42 |
| abstract_inverted_index.helped | 122, 173 |
| abstract_inverted_index.memory | 161 |
| abstract_inverted_index.mobile | 186 |
| abstract_inverted_index.severe | 61 |
| abstract_inverted_index.spinal | 19, 45, 62 |
| abstract_inverted_index.spines | 125 |
| abstract_inverted_index.system | 81 |
| abstract_inverted_index.Crossed | 49 |
| abstract_inverted_index.capture | 144 |
| abstract_inverted_index.context | 22 |
| abstract_inverted_index.correct | 198 |
| abstract_inverted_index.detect, | 87 |
| abstract_inverted_index.detects | 103 |
| abstract_inverted_index.enables | 188 |
| abstract_inverted_index.growing | 25 |
| abstract_inverted_index.highest | 166 |
| abstract_inverted_index.improve | 123 |
| abstract_inverted_index.issues. | 20, 202 |
| abstract_inverted_index.monitor | 176 |
| abstract_inverted_index.notably | 47 |
| abstract_inverted_index.prevent | 91 |
| abstract_inverted_index.process | 116 |
| abstract_inverted_index.related | 65 |
| abstract_inverted_index.seated, | 12 |
| abstract_inverted_index.sensors | 137, 143 |
| abstract_inverted_index.sitting | 31 |
| abstract_inverted_index.various | 41 |
| abstract_inverted_index.Building | 97 |
| abstract_inverted_index.Multiple | 153 |
| abstract_inverted_index.Syndrome | 50 |
| abstract_inverted_index.accuracy | 167 |
| abstract_inverted_index.clinical | 70 |
| abstract_inverted_index.extended | 30 |
| abstract_inverted_index.feedback | 194 |
| abstract_inverted_index.however, | 75 |
| abstract_inverted_index.improved | 118 |
| abstract_inverted_index.includes | 132 |
| abstract_inverted_index.inertial | 133 |
| abstract_inverted_index.involves | 69 |
| abstract_inverted_index.mitigate | 200 |
| abstract_inverted_index.monitor, | 88 |
| abstract_inverted_index.monitors | 105 |
| abstract_inverted_index.postural | 145 |
| abstract_inverted_index.problems | 43 |
| abstract_inverted_index.proposes | 78 |
| abstract_inverted_index.thoracic | 56 |
| abstract_inverted_index.triggers | 40 |
| abstract_inverted_index.wearable | 130, 182 |
| abstract_inverted_index.automated | 113 |
| abstract_inverted_index.behavior, | 27 |
| abstract_inverted_index.curvature | 63 |
| abstract_inverted_index.detection | 68, 115 |
| abstract_inverted_index.framework | 101 |
| abstract_inverted_index.immediate | 193 |
| abstract_inverted_index.interface | 187 |
| abstract_inverted_index.kyphosis, | 57 |
| abstract_inverted_index.lifestyle | 2 |
| abstract_inverted_index.postures. | 140 |
| abstract_inverted_index.readings, | 146 |
| abstract_inverted_index.real-time | 189 |
| abstract_inverted_index.sedentary | 1, 26 |
| abstract_inverted_index.students. | 37 |
| abstract_inverted_index.targeting | 138 |
| abstract_inverted_index.classifier | 172 |
| abstract_inverted_index.corrective | 73 |
| abstract_inverted_index.disorders, | 46 |
| abstract_inverted_index.exercises; | 74 |
| abstract_inverted_index.inactivity | 17, 39 |
| abstract_inverted_index.short-term | 160 |
| abstract_inverted_index.university | 36 |
| abstract_inverted_index.Integrating | 180 |
| abstract_inverted_index.Traditional | 67 |
| abstract_inverted_index.UCS-related | 201 |
| abstract_inverted_index.assessments | 71 |
| abstract_inverted_index.association | 54 |
| abstract_inverted_index.classifiers | 154 |
| abstract_inverted_index.exemplified | 28 |
| abstract_inverted_index.facilitated | 110 |
| abstract_inverted_index.measurement | 134 |
| abstract_inverted_index.patients’ | 124 |
| abstract_inverted_index.potentially | 90 |
| abstract_inverted_index.underscores | 23 |
| abstract_inverted_index.hunched-back | 139 |
| abstract_inverted_index.interaction, | 112 |
| abstract_inverted_index.coordination, | 120 |
| abstract_inverted_index.multi-layered | 80 |
| abstract_inverted_index.visualization | 191 |
| abstract_inverted_index.complications. | 66 |
| abstract_inverted_index.classification. | 152 |
| abstract_inverted_index.patient–doctor | 111 |
| abstract_inverted_index.patient–physician | 119 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 95 |
| corresponding_author_ids | https://openalex.org/A5030226761 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 4 |
| corresponding_institution_ids | https://openalex.org/I199440890 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/4 |
| sustainable_development_goals[0].score | 0.8199999928474426 |
| sustainable_development_goals[0].display_name | Quality Education |
| citation_normalized_percentile.value | 0.66724991 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |