A comparison of studies developed for the detection of cardiovascular diseases from signals obtained from wearable devices with machine learning methods.
<p>A comparison of studies developed for the detection of cardiovascular diseases from signals obtained from wearable devices with machine learning methods.</p>
محفوظ في:
| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | , , |
| منشور في: |
2025
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| الموضوعات: | |
| الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
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| _version_ | 1852022779416674304 |
|---|---|
| author | Miray Gunay Bulut (20714911) |
| author2 | Sencer Unal (20714914) Mohamed Hammad (10431225) Paweł Pławiak (17328063) |
| author2_role | author author author |
| author_facet | Miray Gunay Bulut (20714911) Sencer Unal (20714914) Mohamed Hammad (10431225) Paweł Pławiak (17328063) |
| author_role | author |
| dc.creator.none.fl_str_mv | Miray Gunay Bulut (20714911) Sencer Unal (20714914) Mohamed Hammad (10431225) Paweł Pławiak (17328063) |
| dc.date.none.fl_str_mv | 2025-02-12T18:26:19Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0314154.t004 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/dataset/A_comparison_of_studies_developed_for_the_detection_of_cardiovascular_diseases_from_signals_obtained_from_wearable_devices_with_machine_learning_methods_/28402027 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Medicine Cell Biology Physiology Cancer Space Science Biological Sciences not elsewhere classified provide earlier diagnoses premature atrial contractions massachusetts medical center like atrial fibrillation ppg signal data div >< p cardiac rhythm disorders proposed model achieved raw ppg signals ppg signals using 1d cnn model rhythm disorders cnn model ppg signals ventricular fibrillation deep cnn wearable devices vf ), various ways sudden death significant role second segments recent years holter monitors heart rate health status extrasystole ). different areas continuously monitor bandpass filter balanced circulation allow doctors accuracy values accuracy rate |
| dc.title.none.fl_str_mv | A comparison of studies developed for the detection of cardiovascular diseases from signals obtained from wearable devices with machine learning methods. |
| dc.type.none.fl_str_mv | Dataset info:eu-repo/semantics/publishedVersion dataset |
| description | <p>A comparison of studies developed for the detection of cardiovascular diseases from signals obtained from wearable devices with machine learning methods.</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_bbfcdffc2d865e06ff1dc68bba02997c |
| identifier_str_mv | 10.1371/journal.pone.0314154.t004 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/28402027 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | A comparison of studies developed for the detection of cardiovascular diseases from signals obtained from wearable devices with machine learning methods.Miray Gunay Bulut (20714911)Sencer Unal (20714914)Mohamed Hammad (10431225)Paweł Pławiak (17328063)MedicineCell BiologyPhysiologyCancerSpace ScienceBiological Sciences not elsewhere classifiedprovide earlier diagnosespremature atrial contractionsmassachusetts medical centerlike atrial fibrillationppg signal datadiv >< pcardiac rhythm disordersproposed model achievedraw ppg signalsppg signals using1d cnn modelrhythm disorderscnn modelppg signalsventricular fibrillationdeep cnnwearable devicesvf ),various wayssudden deathsignificant rolesecond segmentsrecent yearsholter monitorsheart ratehealth statusextrasystole ).different areascontinuously monitorbandpass filterbalanced circulationallow doctorsaccuracy valuesaccuracy rate<p>A comparison of studies developed for the detection of cardiovascular diseases from signals obtained from wearable devices with machine learning methods.</p>2025-02-12T18:26:19ZDatasetinfo:eu-repo/semantics/publishedVersiondataset10.1371/journal.pone.0314154.t004https://figshare.com/articles/dataset/A_comparison_of_studies_developed_for_the_detection_of_cardiovascular_diseases_from_signals_obtained_from_wearable_devices_with_machine_learning_methods_/28402027CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/284020272025-02-12T18:26:19Z |
| spellingShingle | A comparison of studies developed for the detection of cardiovascular diseases from signals obtained from wearable devices with machine learning methods. Miray Gunay Bulut (20714911) Medicine Cell Biology Physiology Cancer Space Science Biological Sciences not elsewhere classified provide earlier diagnoses premature atrial contractions massachusetts medical center like atrial fibrillation ppg signal data div >< p cardiac rhythm disorders proposed model achieved raw ppg signals ppg signals using 1d cnn model rhythm disorders cnn model ppg signals ventricular fibrillation deep cnn wearable devices vf ), various ways sudden death significant role second segments recent years holter monitors heart rate health status extrasystole ). different areas continuously monitor bandpass filter balanced circulation allow doctors accuracy values accuracy rate |
| status_str | publishedVersion |
| title | A comparison of studies developed for the detection of cardiovascular diseases from signals obtained from wearable devices with machine learning methods. |
| title_full | A comparison of studies developed for the detection of cardiovascular diseases from signals obtained from wearable devices with machine learning methods. |
| title_fullStr | A comparison of studies developed for the detection of cardiovascular diseases from signals obtained from wearable devices with machine learning methods. |
| title_full_unstemmed | A comparison of studies developed for the detection of cardiovascular diseases from signals obtained from wearable devices with machine learning methods. |
| title_short | A comparison of studies developed for the detection of cardiovascular diseases from signals obtained from wearable devices with machine learning methods. |
| title_sort | A comparison of studies developed for the detection of cardiovascular diseases from signals obtained from wearable devices with machine learning methods. |
| topic | Medicine Cell Biology Physiology Cancer Space Science Biological Sciences not elsewhere classified provide earlier diagnoses premature atrial contractions massachusetts medical center like atrial fibrillation ppg signal data div >< p cardiac rhythm disorders proposed model achieved raw ppg signals ppg signals using 1d cnn model rhythm disorders cnn model ppg signals ventricular fibrillation deep cnn wearable devices vf ), various ways sudden death significant role second segments recent years holter monitors heart rate health status extrasystole ). different areas continuously monitor bandpass filter balanced circulation allow doctors accuracy values accuracy rate |