Mobile Personal Health Care System for Noninvasive, Pervasive, and Continuous Blood Pressure Monitoring: Development and Usability Study (Preprint) Article Swipe
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.2196/preprints.18012
BACKGROUND Smartphone-based blood pressure (BP) monitoring using photoplethysmography (PPG) technology has emerged as a promising approach to empower users with self-monitoring for effective diagnosis and control of hypertension. OBJECTIVE This study aimed to develop a mobile personal health care system for noninvasive, pervasive, and continuous estimation of BP level and variability, which is user friendly for elderly people. METHODS The proposed approach was integrated by a self-designed cuffless, calibration-free, wireless, and wearable PPG-only sensor and a native purposely designed smartphone app using multilayer perceptron machine learning techniques from raw signals. We performed a development and usability study with three older adults (mean age 61.3 years, SD 1.5 years; 66% women) to test the usability and accuracy of the smartphone-based BP monitor. RESULTS The employed artificial neural network model had good average accuracy (>90%) and very strong correlation (>0.90) (P<.001) for predicting the reference BP values of our validation sample (n=150). Bland-Altman plots showed that most of the errors for BP prediction were less than 10 mmHg. However, according to the Association for the Advancement of Medical Instrumentation and British Hypertension Society standards, only diastolic blood pressure prediction met the clinically accepted accuracy thresholds. CONCLUSIONS With further development and validation, the proposed system could provide a cost-effective strategy to improve the quality and coverage of health care, particularly in rural zones, areas lacking physicians, and areas with solitary elderly populations.
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.2196/preprints.18012
- OA Status
- gold
- Cited By
- 1
- References
- 59
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4252659719
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4252659719Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.2196/preprints.18012Digital Object Identifier
- Title
-
Mobile Personal Health Care System for Noninvasive, Pervasive, and Continuous Blood Pressure Monitoring: Development and Usability Study (Preprint)Work title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-01-29Full publication date if available
- Authors
-
Luis J. Mena, Vanessa G. Félix, Rodolfo Ostos, Armando J González, Rafael Martínez-Peláez, Jesús D. Melgarejo, Gladys E. MaestreList of authors in order
- Landing page
-
https://doi.org/10.2196/preprints.18012Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.2196/preprints.18012Direct OA link when available
- Concepts
-
Usability, Blood pressure, Wearable computer, Computer science, Wearable technology, Self-monitoring, Medicine, Artificial intelligence, Embedded system, Human–computer interaction, Psychology, Internal medicine, Social psychologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
-
2024: 1Per-year citation counts (last 5 years)
- References (count)
-
59Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4252659719 |
|---|---|
| doi | https://doi.org/10.2196/preprints.18012 |
| ids.doi | https://doi.org/10.2196/preprints.18012 |
| ids.openalex | https://openalex.org/W4252659719 |
| fwci | |
| type | preprint |
| title | Mobile Personal Health Care System for Noninvasive, Pervasive, and Continuous Blood Pressure Monitoring: Development and Usability Study (Preprint) |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | |
| biblio.first_page | |
| topics[0].id | https://openalex.org/T11196 |
| topics[0].field.id | https://openalex.org/fields/22 |
| topics[0].field.display_name | Engineering |
| topics[0].score | 0.9994000196456909 |
| 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 | Non-Invasive Vital Sign Monitoring |
| topics[1].id | https://openalex.org/T10745 |
| topics[1].field.id | https://openalex.org/fields/27 |
| topics[1].field.display_name | Medicine |
| topics[1].score | 0.9965000152587891 |
| topics[1].domain.id | https://openalex.org/domains/4 |
| topics[1].domain.display_name | Health Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/2705 |
| topics[1].subfield.display_name | Cardiology and Cardiovascular Medicine |
| topics[1].display_name | Heart Rate Variability and Autonomic Control |
| topics[2].id | https://openalex.org/T10144 |
| topics[2].field.id | https://openalex.org/fields/27 |
| topics[2].field.display_name | Medicine |
| topics[2].score | 0.9943000078201294 |
| topics[2].domain.id | https://openalex.org/domains/4 |
| topics[2].domain.display_name | Health Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/2705 |
| topics[2].subfield.display_name | Cardiology and Cardiovascular Medicine |
| topics[2].display_name | Blood Pressure and Hypertension Studies |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C170130773 |
| concepts[0].level | 2 |
| concepts[0].score | 0.8604750037193298 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q216378 |
| concepts[0].display_name | Usability |
| concepts[1].id | https://openalex.org/C84393581 |
| concepts[1].level | 2 |
| concepts[1].score | 0.6293498277664185 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q82642 |
| concepts[1].display_name | Blood pressure |
| concepts[2].id | https://openalex.org/C150594956 |
| concepts[2].level | 2 |
| concepts[2].score | 0.5890031456947327 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q1334829 |
| concepts[2].display_name | Wearable computer |
| concepts[3].id | https://openalex.org/C41008148 |
| concepts[3].level | 0 |
| concepts[3].score | 0.4664060175418854 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[3].display_name | Computer science |
| concepts[4].id | https://openalex.org/C54290928 |
| concepts[4].level | 3 |
| concepts[4].score | 0.43357038497924805 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q4845080 |
| concepts[4].display_name | Wearable technology |
| concepts[5].id | https://openalex.org/C195548491 |
| concepts[5].level | 2 |
| concepts[5].score | 0.4265114665031433 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q7448152 |
| concepts[5].display_name | Self-monitoring |
| concepts[6].id | https://openalex.org/C71924100 |
| concepts[6].level | 0 |
| concepts[6].score | 0.4118272662162781 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q11190 |
| concepts[6].display_name | Medicine |
| concepts[7].id | https://openalex.org/C154945302 |
| concepts[7].level | 1 |
| concepts[7].score | 0.3568832278251648 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[7].display_name | Artificial intelligence |
| concepts[8].id | https://openalex.org/C149635348 |
| concepts[8].level | 1 |
| concepts[8].score | 0.21863481402397156 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q193040 |
| concepts[8].display_name | Embedded system |
| concepts[9].id | https://openalex.org/C107457646 |
| concepts[9].level | 1 |
| concepts[9].score | 0.20460373163223267 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q207434 |
| concepts[9].display_name | Human–computer interaction |
| concepts[10].id | https://openalex.org/C15744967 |
| concepts[10].level | 0 |
| concepts[10].score | 0.20314159989356995 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q9418 |
| concepts[10].display_name | Psychology |
| concepts[11].id | https://openalex.org/C126322002 |
| concepts[11].level | 1 |
| concepts[11].score | 0.17168331146240234 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q11180 |
| concepts[11].display_name | Internal medicine |
| concepts[12].id | https://openalex.org/C77805123 |
| concepts[12].level | 1 |
| concepts[12].score | 0.0 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q161272 |
| concepts[12].display_name | Social psychology |
| keywords[0].id | https://openalex.org/keywords/usability |
| keywords[0].score | 0.8604750037193298 |
| keywords[0].display_name | Usability |
| keywords[1].id | https://openalex.org/keywords/blood-pressure |
| keywords[1].score | 0.6293498277664185 |
| keywords[1].display_name | Blood pressure |
| keywords[2].id | https://openalex.org/keywords/wearable-computer |
| keywords[2].score | 0.5890031456947327 |
| keywords[2].display_name | Wearable computer |
| keywords[3].id | https://openalex.org/keywords/computer-science |
| keywords[3].score | 0.4664060175418854 |
| keywords[3].display_name | Computer science |
| keywords[4].id | https://openalex.org/keywords/wearable-technology |
| keywords[4].score | 0.43357038497924805 |
| keywords[4].display_name | Wearable technology |
| keywords[5].id | https://openalex.org/keywords/self-monitoring |
| keywords[5].score | 0.4265114665031433 |
| keywords[5].display_name | Self-monitoring |
| keywords[6].id | https://openalex.org/keywords/medicine |
| keywords[6].score | 0.4118272662162781 |
| keywords[6].display_name | Medicine |
| keywords[7].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[7].score | 0.3568832278251648 |
| keywords[7].display_name | Artificial intelligence |
| keywords[8].id | https://openalex.org/keywords/embedded-system |
| keywords[8].score | 0.21863481402397156 |
| keywords[8].display_name | Embedded system |
| keywords[9].id | https://openalex.org/keywords/human–computer-interaction |
| keywords[9].score | 0.20460373163223267 |
| keywords[9].display_name | Human–computer interaction |
| keywords[10].id | https://openalex.org/keywords/psychology |
| keywords[10].score | 0.20314159989356995 |
| keywords[10].display_name | Psychology |
| keywords[11].id | https://openalex.org/keywords/internal-medicine |
| keywords[11].score | 0.17168331146240234 |
| keywords[11].display_name | Internal medicine |
| language | en |
| locations[0].id | doi:10.2196/preprints.18012 |
| locations[0].is_oa | True |
| locations[0].source | |
| locations[0].license | cc-by |
| locations[0].pdf_url | |
| locations[0].version | acceptedVersion |
| locations[0].raw_type | posted-content |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | True |
| locations[0].is_published | False |
| locations[0].raw_source_name | |
| locations[0].landing_page_url | https://doi.org/10.2196/preprints.18012 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5084651171 |
| authorships[0].author.orcid | https://orcid.org/0000-0002-3244-0129 |
| authorships[0].author.display_name | Luis J. Mena |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I4403386673 |
| authorships[0].affiliations[0].raw_affiliation_string | Academic Unit of Computing, Master Program in Applied Sciences, Universidad Politecnica de Sinaloa, Mazatlan, Mexico |
| authorships[0].institutions[0].id | https://openalex.org/I4403386673 |
| authorships[0].institutions[0].ror | https://ror.org/00mwm0e05 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I4403386673 |
| authorships[0].institutions[0].country_code | |
| authorships[0].institutions[0].display_name | Universidad Politécnica de Sinaloa |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Luis J Mena |
| authorships[0].is_corresponding | True |
| authorships[0].raw_affiliation_strings | Academic Unit of Computing, Master Program in Applied Sciences, Universidad Politecnica de Sinaloa, Mazatlan, Mexico |
| authorships[1].author.id | https://openalex.org/A5014834531 |
| authorships[1].author.orcid | https://orcid.org/0000-0001-9118-8042 |
| authorships[1].author.display_name | Vanessa G. Félix |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I4403386673 |
| authorships[1].affiliations[0].raw_affiliation_string | Academic Unit of Computing, Master Program in Applied Sciences, Universidad Politecnica de Sinaloa, Mazatlan, Mexico |
| authorships[1].institutions[0].id | https://openalex.org/I4403386673 |
| authorships[1].institutions[0].ror | https://ror.org/00mwm0e05 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I4403386673 |
| authorships[1].institutions[0].country_code | |
| authorships[1].institutions[0].display_name | Universidad Politécnica de Sinaloa |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Vanessa G Félix |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Academic Unit of Computing, Master Program in Applied Sciences, Universidad Politecnica de Sinaloa, Mazatlan, Mexico |
| authorships[2].author.id | https://openalex.org/A5036405982 |
| authorships[2].author.orcid | https://orcid.org/0000-0003-1429-3660 |
| authorships[2].author.display_name | Rodolfo Ostos |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I4403386673 |
| authorships[2].affiliations[0].raw_affiliation_string | Academic Unit of Computing, Master Program in Applied Sciences, Universidad Politecnica de Sinaloa, Mazatlan, Mexico |
| authorships[2].institutions[0].id | https://openalex.org/I4403386673 |
| authorships[2].institutions[0].ror | https://ror.org/00mwm0e05 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I4403386673 |
| authorships[2].institutions[0].country_code | |
| authorships[2].institutions[0].display_name | Universidad Politécnica de Sinaloa |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Rodolfo Ostos |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | Academic Unit of Computing, Master Program in Applied Sciences, Universidad Politecnica de Sinaloa, Mazatlan, Mexico |
| authorships[3].author.id | https://openalex.org/A5088040692 |
| authorships[3].author.orcid | https://orcid.org/0000-0002-4039-5014 |
| authorships[3].author.display_name | Armando J González |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I4403386673 |
| authorships[3].affiliations[0].raw_affiliation_string | Academic Unit of Computing, Master Program in Applied Sciences, Universidad Politecnica de Sinaloa, Mazatlan, Mexico |
| authorships[3].institutions[0].id | https://openalex.org/I4403386673 |
| authorships[3].institutions[0].ror | https://ror.org/00mwm0e05 |
| authorships[3].institutions[0].type | education |
| authorships[3].institutions[0].lineage | https://openalex.org/I4403386673 |
| authorships[3].institutions[0].country_code | |
| authorships[3].institutions[0].display_name | Universidad Politécnica de Sinaloa |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Armando J González |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | Academic Unit of Computing, Master Program in Applied Sciences, Universidad Politecnica de Sinaloa, Mazatlan, Mexico |
| authorships[4].author.id | https://openalex.org/A5076836614 |
| authorships[4].author.orcid | https://orcid.org/0000-0003-2188-9892 |
| authorships[4].author.display_name | Rafael Martínez-Peláez |
| authorships[4].countries | MX |
| authorships[4].affiliations[0].institution_ids | https://openalex.org/I4210098913 |
| authorships[4].affiliations[0].raw_affiliation_string | Faculty of Information Technology, Universidad de la Salle Bajío, Leon, Mexico |
| authorships[4].institutions[0].id | https://openalex.org/I4210098913 |
| authorships[4].institutions[0].ror | https://ror.org/00vf1vw09 |
| authorships[4].institutions[0].type | education |
| authorships[4].institutions[0].lineage | https://openalex.org/I4210098913 |
| authorships[4].institutions[0].country_code | MX |
| authorships[4].institutions[0].display_name | Universidad de La Salle Bajío |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Rafael Martínez-Peláez |
| authorships[4].is_corresponding | False |
| authorships[4].raw_affiliation_strings | Faculty of Information Technology, Universidad de la Salle Bajío, Leon, Mexico |
| authorships[5].author.id | https://openalex.org/A5057962416 |
| authorships[5].author.orcid | https://orcid.org/0000-0002-1382-1153 |
| authorships[5].author.display_name | Jesús D. Melgarejo |
| authorships[5].countries | BE |
| authorships[5].affiliations[0].institution_ids | https://openalex.org/I99464096 |
| authorships[5].affiliations[0].raw_affiliation_string | Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Leuven, Belgium |
| authorships[5].institutions[0].id | https://openalex.org/I99464096 |
| authorships[5].institutions[0].ror | https://ror.org/05f950310 |
| authorships[5].institutions[0].type | education |
| authorships[5].institutions[0].lineage | https://openalex.org/I99464096 |
| authorships[5].institutions[0].country_code | BE |
| authorships[5].institutions[0].display_name | KU Leuven |
| authorships[5].author_position | middle |
| authorships[5].raw_author_name | Jesus D Melgarejo |
| authorships[5].is_corresponding | False |
| authorships[5].raw_affiliation_strings | Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Leuven, Belgium |
| authorships[6].author.id | https://openalex.org/A5028361013 |
| authorships[6].author.orcid | https://orcid.org/0000-0002-0020-8042 |
| authorships[6].author.display_name | Gladys E. Maestre |
| authorships[6].countries | US |
| authorships[6].affiliations[0].institution_ids | https://openalex.org/I2802326326 |
| authorships[6].affiliations[0].raw_affiliation_string | University of Texas Rio Grande Valley, Brownsville, TX, United States |
| authorships[6].affiliations[1].institution_ids | https://openalex.org/I4210095287 |
| authorships[6].affiliations[1].raw_affiliation_string | Departments of Neurosciences and Human Genetics, and Rio Grande Valley Alzheimer´s Disease Resource Center for Minority Aging Research, |
| authorships[6].institutions[0].id | https://openalex.org/I4210095287 |
| authorships[6].institutions[0].ror | https://ror.org/00y2wtn40 |
| authorships[6].institutions[0].type | other |
| authorships[6].institutions[0].lineage | https://openalex.org/I4210095287 |
| authorships[6].institutions[0].country_code | US |
| authorships[6].institutions[0].display_name | Office of Minority Health |
| authorships[6].institutions[1].id | https://openalex.org/I2802326326 |
| authorships[6].institutions[1].ror | https://ror.org/02p5xjf12 |
| authorships[6].institutions[1].type | education |
| authorships[6].institutions[1].lineage | https://openalex.org/I2802326326 |
| authorships[6].institutions[1].country_code | US |
| authorships[6].institutions[1].display_name | The University of Texas Rio Grande Valley |
| authorships[6].author_position | last |
| authorships[6].raw_author_name | Gladys E Maestre |
| authorships[6].is_corresponding | False |
| authorships[6].raw_affiliation_strings | Departments of Neurosciences and Human Genetics, and Rio Grande Valley Alzheimer´s Disease Resource Center for Minority Aging Research,, University of Texas Rio Grande Valley, Brownsville, TX, United States |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://doi.org/10.2196/preprints.18012 |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Mobile Personal Health Care System for Noninvasive, Pervasive, and Continuous Blood Pressure Monitoring: Development and Usability Study (Preprint) |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T11196 |
| primary_topic.field.id | https://openalex.org/fields/22 |
| primary_topic.field.display_name | Engineering |
| primary_topic.score | 0.9994000196456909 |
| 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 | Non-Invasive Vital Sign Monitoring |
| related_works | https://openalex.org/W3090300519, https://openalex.org/W4250401876, https://openalex.org/W2514492205, https://openalex.org/W2943851981, https://openalex.org/W2095299560, https://openalex.org/W2907667791, https://openalex.org/W3047461507, https://openalex.org/W3126390843, https://openalex.org/W4245880644, https://openalex.org/W2999186374 |
| cited_by_count | 1 |
| counts_by_year[0].year | 2024 |
| counts_by_year[0].cited_by_count | 1 |
| locations_count | 1 |
| best_oa_location.id | doi:10.2196/preprints.18012 |
| best_oa_location.is_oa | True |
| best_oa_location.source | |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | |
| best_oa_location.version | acceptedVersion |
| best_oa_location.raw_type | posted-content |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | False |
| best_oa_location.raw_source_name | |
| best_oa_location.landing_page_url | https://doi.org/10.2196/preprints.18012 |
| primary_location.id | doi:10.2196/preprints.18012 |
| primary_location.is_oa | True |
| primary_location.source | |
| primary_location.license | cc-by |
| primary_location.pdf_url | |
| primary_location.version | acceptedVersion |
| primary_location.raw_type | posted-content |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | False |
| primary_location.raw_source_name | |
| primary_location.landing_page_url | https://doi.org/10.2196/preprints.18012 |
| publication_date | 2020-01-29 |
| publication_year | 2020 |
| referenced_works | https://openalex.org/W3170496996, https://openalex.org/W4229507647, https://openalex.org/W2038197016, https://openalex.org/W4253582190, https://openalex.org/W2112082948, https://openalex.org/W2157562960, https://openalex.org/W2030259518, https://openalex.org/W2158960952, https://openalex.org/W2942806139, https://openalex.org/W2892649144, https://openalex.org/W2955961229, https://openalex.org/W2907553478, https://openalex.org/W2538561053, https://openalex.org/W2414416656, https://openalex.org/W2294418644, https://openalex.org/W2906577143, https://openalex.org/W2965846681, https://openalex.org/W2726317446, https://openalex.org/W2928493557, https://openalex.org/W2883190752, https://openalex.org/W2344570320, https://openalex.org/W2036308618, https://openalex.org/W2760345725, https://openalex.org/W2947474623, https://openalex.org/W2913260815, https://openalex.org/W2941396484, https://openalex.org/W2019882679, https://openalex.org/W2924620925, https://openalex.org/W2889351385, https://openalex.org/W2475064587, https://openalex.org/W2204818998, https://openalex.org/W1987949413, https://openalex.org/W2031137127, https://openalex.org/W2288531090, https://openalex.org/W2166451543, https://openalex.org/W2795778794, https://openalex.org/W2790680409, https://openalex.org/W4240787076, https://openalex.org/W2889312301, https://openalex.org/W2797927400, https://openalex.org/W2899375141, https://openalex.org/W2600746833, https://openalex.org/W2965857341, https://openalex.org/W1971130353, https://openalex.org/W2041420156, https://openalex.org/W2003429825, https://openalex.org/W1990655692, https://openalex.org/W2165427196, https://openalex.org/W2766547216, https://openalex.org/W2055950180, https://openalex.org/W1546895422, https://openalex.org/W4250194594, https://openalex.org/W2912941864, https://openalex.org/W2015795623, https://openalex.org/W2804496683, https://openalex.org/W2894956427, https://openalex.org/W2898457169, https://openalex.org/W2090079796, https://openalex.org/W2914807943 |
| referenced_works_count | 59 |
| abstract_inverted_index.a | 14, 37, 70, 80, 97, 213 |
| abstract_inverted_index.10 | 171 |
| abstract_inverted_index.BP | 50, 124, 150, 166 |
| abstract_inverted_index.SD | 110 |
| abstract_inverted_index.We | 95 |
| abstract_inverted_index.as | 13 |
| abstract_inverted_index.by | 69 |
| abstract_inverted_index.in | 226 |
| abstract_inverted_index.is | 55 |
| abstract_inverted_index.of | 27, 49, 121, 152, 162, 181, 222 |
| abstract_inverted_index.to | 17, 35, 115, 175, 216 |
| abstract_inverted_index.1.5 | 111 |
| abstract_inverted_index.66% | 113 |
| abstract_inverted_index.The | 64, 129 |
| abstract_inverted_index.age | 107 |
| abstract_inverted_index.and | 25, 46, 52, 75, 79, 99, 119, 140, 184, 206, 220, 232 |
| abstract_inverted_index.app | 85 |
| abstract_inverted_index.for | 22, 43, 58, 146, 165, 178 |
| abstract_inverted_index.had | 135 |
| abstract_inverted_index.has | 11 |
| abstract_inverted_index.met | 194 |
| abstract_inverted_index.our | 153 |
| abstract_inverted_index.raw | 93 |
| abstract_inverted_index.the | 117, 122, 148, 163, 176, 179, 195, 208, 218 |
| abstract_inverted_index.was | 67 |
| abstract_inverted_index.(BP) | 5 |
| abstract_inverted_index.61.3 | 108 |
| abstract_inverted_index.This | 32 |
| abstract_inverted_index.With | 203 |
| abstract_inverted_index.care | 41 |
| abstract_inverted_index.from | 92 |
| abstract_inverted_index.good | 136 |
| abstract_inverted_index.less | 169 |
| abstract_inverted_index.most | 161 |
| abstract_inverted_index.only | 189 |
| abstract_inverted_index.test | 116 |
| abstract_inverted_index.than | 170 |
| abstract_inverted_index.that | 160 |
| abstract_inverted_index.user | 56 |
| abstract_inverted_index.very | 141 |
| abstract_inverted_index.were | 168 |
| abstract_inverted_index.with | 20, 102, 234 |
| abstract_inverted_index.(PPG) | 9 |
| abstract_inverted_index.(mean | 106 |
| abstract_inverted_index.<sec> | 0, 30, 62, 127, 201 |
| abstract_inverted_index.aimed | 34 |
| abstract_inverted_index.areas | 229, 233 |
| abstract_inverted_index.blood | 3, 191 |
| abstract_inverted_index.care, | 224 |
| abstract_inverted_index.could | 211 |
| abstract_inverted_index.level | 51 |
| abstract_inverted_index.mmHg. | 172 |
| abstract_inverted_index.model | 134 |
| abstract_inverted_index.older | 104 |
| abstract_inverted_index.plots | 158 |
| abstract_inverted_index.rural | 227 |
| abstract_inverted_index.study | 33, 101 |
| abstract_inverted_index.three | 103 |
| abstract_inverted_index.users | 19 |
| abstract_inverted_index.using | 7, 86 |
| abstract_inverted_index.which | 54 |
| abstract_inverted_index.</sec> | 29, 61, 126, 200, 238 |
| abstract_inverted_index.adults | 105 |
| abstract_inverted_index.errors | 164 |
| abstract_inverted_index.health | 40, 223 |
| abstract_inverted_index.mobile | 38 |
| abstract_inverted_index.native | 81 |
| abstract_inverted_index.neural | 132 |
| abstract_inverted_index.sample | 155 |
| abstract_inverted_index.sensor | 78 |
| abstract_inverted_index.showed | 159 |
| abstract_inverted_index.strong | 142 |
| abstract_inverted_index.system | 42, 210 |
| abstract_inverted_index.values | 151 |
| abstract_inverted_index.women) | 114 |
| abstract_inverted_index.years, | 109 |
| abstract_inverted_index.years; | 112 |
| abstract_inverted_index.zones, | 228 |
| abstract_inverted_index.British | 185 |
| abstract_inverted_index.Medical | 182 |
| abstract_inverted_index.Society | 187 |
| abstract_inverted_index.average | 137 |
| abstract_inverted_index.control | 26 |
| abstract_inverted_index.develop | 36 |
| abstract_inverted_index.elderly | 59, 236 |
| abstract_inverted_index.emerged | 12 |
| abstract_inverted_index.empower | 18 |
| abstract_inverted_index.further | 204 |
| abstract_inverted_index.improve | 217 |
| abstract_inverted_index.lacking | 230 |
| abstract_inverted_index.machine | 89 |
| abstract_inverted_index.network | 133 |
| abstract_inverted_index.people. | 60 |
| abstract_inverted_index.provide | 212 |
| abstract_inverted_index.quality | 219 |
| abstract_inverted_index.(n=150). | 156 |
| abstract_inverted_index.However, | 173 |
| abstract_inverted_index.PPG-only | 77 |
| abstract_inverted_index.accepted | 197 |
| abstract_inverted_index.accuracy | 120, 138, 198 |
| abstract_inverted_index.approach | 16, 66 |
| abstract_inverted_index.coverage | 221 |
| abstract_inverted_index.designed | 83 |
| abstract_inverted_index.employed | 130 |
| abstract_inverted_index.friendly | 57 |
| abstract_inverted_index.learning | 90 |
| abstract_inverted_index.monitor. | 125 |
| abstract_inverted_index.personal | 39 |
| abstract_inverted_index.pressure | 4, 192 |
| abstract_inverted_index.proposed | 65, 209 |
| abstract_inverted_index.signals. | 94 |
| abstract_inverted_index.solitary | 235 |
| abstract_inverted_index.strategy | 215 |
| abstract_inverted_index.wearable | 76 |
| abstract_inverted_index.according | 174 |
| abstract_inverted_index.cuffless, | 72 |
| abstract_inverted_index.diagnosis | 24 |
| abstract_inverted_index.diastolic | 190 |
| abstract_inverted_index.effective | 23 |
| abstract_inverted_index.performed | 96 |
| abstract_inverted_index.promising | 15 |
| abstract_inverted_index.purposely | 82 |
| abstract_inverted_index.reference | 149 |
| abstract_inverted_index.usability | 100, 118 |
| abstract_inverted_index.wireless, | 74 |
| abstract_inverted_index.artificial | 131 |
| abstract_inverted_index.clinically | 196 |
| abstract_inverted_index.continuous | 47 |
| abstract_inverted_index.estimation | 48 |
| abstract_inverted_index.integrated | 68 |
| abstract_inverted_index.monitoring | 6 |
| abstract_inverted_index.multilayer | 87 |
| abstract_inverted_index.perceptron | 88 |
| abstract_inverted_index.pervasive, | 45 |
| abstract_inverted_index.predicting | 147 |
| abstract_inverted_index.prediction | 167, 193 |
| abstract_inverted_index.smartphone | 84 |
| abstract_inverted_index.standards, | 188 |
| abstract_inverted_index.techniques | 91 |
| abstract_inverted_index.technology | 10 |
| abstract_inverted_index.validation | 154 |
| abstract_inverted_index.Advancement | 180 |
| abstract_inverted_index.Association | 177 |
| abstract_inverted_index.correlation | 143 |
| abstract_inverted_index.development | 98, 205 |
| abstract_inverted_index.physicians, | 231 |
| abstract_inverted_index.thresholds. | 199 |
| abstract_inverted_index.validation, | 207 |
| abstract_inverted_index.Bland-Altman | 157 |
| abstract_inverted_index.Hypertension | 186 |
| abstract_inverted_index.noninvasive, | 44 |
| abstract_inverted_index.particularly | 225 |
| abstract_inverted_index.populations. | 237 |
| abstract_inverted_index.variability, | 53 |
| abstract_inverted_index.(&gt;90%) | 139 |
| abstract_inverted_index.hypertension. | 28 |
| abstract_inverted_index.self-designed | 71 |
| abstract_inverted_index.(&gt;0.90) | 144 |
| abstract_inverted_index.cost-effective | 214 |
| abstract_inverted_index.Instrumentation | 183 |
| abstract_inverted_index.self-monitoring | 21 |
| abstract_inverted_index.Smartphone-based | 2 |
| abstract_inverted_index.smartphone-based | 123 |
| abstract_inverted_index.calibration-free, | 73 |
| abstract_inverted_index.photoplethysmography | 8 |
| abstract_inverted_index.<title>METHODS</title> | 63 |
| abstract_inverted_index.<title>RESULTS</title> | 128 |
| abstract_inverted_index.<title>OBJECTIVE</title> | 31 |
| abstract_inverted_index.<title>BACKGROUND</title> | 1 |
| abstract_inverted_index.<title>CONCLUSIONS</title> | 202 |
| abstract_inverted_index.(<i>P</i>&lt;.001) | 145 |
| cited_by_percentile_year.max | 94 |
| cited_by_percentile_year.min | 90 |
| corresponding_author_ids | https://openalex.org/A5084651171 |
| countries_distinct_count | 3 |
| institutions_distinct_count | 7 |
| corresponding_institution_ids | https://openalex.org/I4403386673 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.5400000214576721 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.22837445 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |