<clinical_study>
  <!-- This xml conforms to an XML Schema at:
    https://clinicaltrials.gov/ct2/html/images/info/public.xsd -->
  <required_header>
    <download_date>ClinicalTrials.gov processed this data on September 20, 2023</download_date>
    <link_text>Link to the current ClinicalTrials.gov record.</link_text>
    <url>https://clinicaltrials.gov/ct2/show/NCT04463524</url>
  </required_header>
  <id_info>
    <org_study_id>UESVADZ001</org_study_id>
    <nct_id>NCT04463524</nct_id>
  </id_info>
  <brief_title>Screening for Hearth Rhythm Disorders</brief_title>
  <official_title>Screening of Patients With Suspected Heart Rhythm Disorder on Primary Health Care Level With the Use of Personal Digital ECG Sensor</official_title>
  <sponsors>
    <lead_sponsor>
      <agency>Healthcare Center Murska Sobota</agency>
      <agency_class>Other</agency_class>
    </lead_sponsor>
  </sponsors>
  <source>Healthcare Center Murska Sobota</source>
  <oversight_info>
    <has_dmc>No</has_dmc>
    <is_fda_regulated_drug>No</is_fda_regulated_drug>
    <is_fda_regulated_device>No</is_fda_regulated_device>
  </oversight_info>
  <brief_summary>
    <textblock>
      This study aimed to analyze the usefulness of telecardiology in the primary health care level&#xD;
      using an ECG personal sensor developed in Slovenia.Investigators also wanted to evaluate the&#xD;
      satisfaction of patients and their physicians and the cost-effectiveness of this tool.&#xD;
    </textblock>
  </brief_summary>
  <detailed_description>
    <textblock>
      This observational prospective cohort study was conducted on patients with a history of&#xD;
      rhythm disturbance who visited their family physician at the Health Care Center of Ljubljana&#xD;
      and Health Care Center of Murska Sobota from October 2016 to January 2018. It included family&#xD;
      physicians and their patients and was conducted on two levels. The inclusion criteria were&#xD;
      age of ≥18 years, suspected heart rhythm disorder, and no previous diagnosis of rhythm&#xD;
      disorder. Patients had a 12-channel ECG record performed at the first visit. If a rhythm&#xD;
      disturbance was detected at that time, the patient was treated according to the guidelines&#xD;
      and was not included in the study. However, if a diagnosis of rhythm disorder could not have&#xD;
      been made, the patient was included in the study. In the study, the investigators divided&#xD;
      participants into two groups: the test group and control group, where the patients in the&#xD;
      test group received a wearable device. The pilot study is a part of an ongoing study that&#xD;
      includes a bigger sample calculated with the help of Raosoft sample size calculator.&#xD;
      Investigators estimated that a sample size of 100 patients (50 in test and 50 in the control&#xD;
      group) is sufficient to obtain relevant data in the population. Patients who met these&#xD;
      criteria were invited to participate in a study that was approved by the Ethics Committee of&#xD;
      the Republic of Slovenia (number 0120-299/2017-7, KME 47/06/17), and written informed consent&#xD;
      confirmed their participation. The study was conducted in accordance with The Code of Ethics&#xD;
      of the World Medical Association (Declaration of Helsinki).&#xD;
&#xD;
      In collaboration with medical experts, the Jožef Stefan Institute of Slovenia developed a&#xD;
      personal portable ECG sensor that works in conjunction with a smartphone. The Personal&#xD;
      Digital Mobile Body Sensor is listed in the medical device category, has the status of a&#xD;
      medical device with all necessary certifications, and is owned by Savvy. It includes a&#xD;
      personal sensor, ECG electrode kit, MobECG mobile application, and computer program called&#xD;
      VisECG, which is currently available for Android only. The ECG sensor consists of two&#xD;
      electrodes, which are placed 8.5 cm apart, and measures the potential between these two&#xD;
      closely placed body-surface electrodes. The gadget weighs 21 g and has several possible&#xD;
      positions of placement. The measurement is transmitted via Bluetooth connection to a&#xD;
      smartphone, where the device is paired and managed via the MobECG mobile application.&#xD;
      Initially, personal and other necessary information are entered into the smartphone&#xD;
      application; then, the user can forget that he or she is wearing the device. The application&#xD;
      works reliably in the background, even when using the phone for calls or other applications.&#xD;
      If desired, the user can monitor the heart rate on the meter display with a curve and&#xD;
      calculate it on an ongoing basis. Finally, the measurements are collected on the phone and&#xD;
      can be transmitted to the physician in two ways: (1) pressing the button, the user can&#xD;
      prepare a PDF report and send it to the physician's e-mail address or (2) transfer the data&#xD;
      via USB cable to the physician's computer, where he or she can closely monitor the entire&#xD;
      recording using VisECG. The first method is useful in the case of a severe disorder in which&#xD;
      it is necessary to inform the physician. However, it is still related to the availability and&#xD;
      responsiveness of the physician. When reading the recording, one should remember that it is&#xD;
      not any standard lead typically used in a Holter monitor and that it is a single-channel&#xD;
      measurement that is performed live on a patient moving and performing daily activities. The&#xD;
      recordings can show different disorders but need to be evaluated so that artefacts can be&#xD;
      distinguished from the actual disturbance of the rhythm. VisECG enables us to review and&#xD;
      accurately analyze the recording and produce a report that can be submitted to physicians of&#xD;
      other specialities for consultation or delivered to the patient and his or her physician as a&#xD;
      measurement result. Given that the measurement is only a single channel, we can estimate the&#xD;
      frequency and possible disturbances of rhythm but not ischemia.The study included the&#xD;
      patients and their family physician. Patients with a complaint of heart rhythm disorder but&#xD;
      no detectable rhythm disturbance on a 12-channel ECG record performed at the first visit were&#xD;
      included. If a rhythm disturbance was detected at that time, the patient was treated&#xD;
      according to the guidelines and was not included in the study. However, if a diagnosis of&#xD;
      rhythm disorder could not have been made, the patient was included in the study. In the&#xD;
      study, the investigators divided participants into two groups: test group where they received&#xD;
      the personal ECG sensor and control group without the sensor one after another according to&#xD;
      their visits at the office. However, the protocol was not followed rigorously, and physicians&#xD;
      had the option of deciding for themselves if they prefer not to include the patient in the&#xD;
      test group. The test group received an ECG sensor, which was placed by a healthcare&#xD;
      professional and worn for three days. Whereat that time, they received information about the&#xD;
      placement and handling of the sensor. The sensor was placed using two self-adhesive&#xD;
      electrodes on the skin of the chest, which should not be too hairy. Then, the sensor was&#xD;
      attached to the electrode and connected via Bluetooth to the smartphone, which was also&#xD;
      provided to the patient with the charger for the duration of the examination. Patients were&#xD;
      advised to perform their daily activities as regularly as possible and not to remove the&#xD;
      sensor while showering or sleeping and keep the smartphone in the same room with them. In&#xD;
      case the electrode peeled off, the patient had four spare electrodes and could install them&#xD;
      himself. During the investigation, the patient kept a journal where he or she wrote down his&#xD;
      or her problems and feelings. After 3 days, the patient returned to the healthcare provider,&#xD;
      who removed the sensor and downloaded the measurements from the phone, which are then sent to&#xD;
      the physicians who will analyze the reading. Then, the measurement was transferred to the&#xD;
      computer memory and sent to the physicians for evaluation. The same patient underwent a&#xD;
      checkup with the physician after 5-10 days, which depended on the date they had made an&#xD;
      appointment. The physician read the recording, and in case of severe rhythm disorder, the&#xD;
      patient was called earlier for a checkup at the physician's clinic where he or she received&#xD;
      treatment as needed. The control group received a questionnaire and returned to the physician&#xD;
      after 5-10 days.&#xD;
&#xD;
      For the purpose of the study, a questionnaire was made, and it was validated in a similar&#xD;
      pilot study in a hospital setting. At the first visit to the doctor's office, all patients&#xD;
      received a questionnaire to record their problems and provide an opinion on the quality and&#xD;
      usefulness of the examination. Also, physicians of all tested patient had to complete two&#xD;
      questionnaires. One for a patient on the first visit, then after 5-10 days, and after 3&#xD;
      months. The questionnaire provided us with demographics data, chronic illness and medication,&#xD;
      presence of possible rhythm disorder and actions taken after first and second visit. The&#xD;
      other questionnaire was used to record their comments on the quality and usefulness of this&#xD;
      method.&#xD;
    </textblock>
  </detailed_description>
  <overall_status>Completed</overall_status>
  <start_date type="Actual">October 2016</start_date>
  <completion_date type="Actual">August 2019</completion_date>
  <primary_completion_date type="Actual">January 2018</primary_completion_date>
  <study_type>Observational</study_type>
  <has_expanded_access>No</has_expanded_access>
  <study_design_info>
    <observational_model>Cohort</observational_model>
    <time_perspective>Prospective</time_perspective>
  </study_design_info>
  <primary_outcome>
    <measure>Change from no detected hearth rhythm disorders to diagnosed hearth rhythm disorders at day 90</measure>
    <time_frame>baseline and day 90</time_frame>
    <description>With the help of ECG sensor finding arrhythmias in patients where standard ECG record was normal. Change = (day 90 record - baseline record)</description>
  </primary_outcome>
  <secondary_outcome>
    <measure>Change in patients and doctors satisfaction with this method after detecting possible hearth rhythm disorders</measure>
    <time_frame>baseline and day 90</time_frame>
    <description>With the help of a questionnaire see how users are satisfied with this method after 3 months. Change = (day 90 record - baseline record)</description>
  </secondary_outcome>
  <number_of_groups>2</number_of_groups>
  <enrollment type="Actual">130</enrollment>
  <condition>Cardiac Arrhythmia</condition>
  <arm_group>
    <arm_group_label>Test</arm_group_label>
    <description>They will receive ECG sensor after initial standard 12-channel ECG record will be taken; they will return after 5 days and after 3 months to assess their hearth rhythm disorders and actions taken.</description>
  </arm_group>
  <arm_group>
    <arm_group_label>Control</arm_group_label>
    <description>They will not receive ECG sensor after initial standard 12-channel ECG record will be taken; they will return after 5 days and after 3 months to assess their hearth rhythm disorders and actions taken.</description>
  </arm_group>
  <intervention>
    <intervention_type>Device</intervention_type>
    <intervention_name>Personal ECG digital sensor</intervention_name>
    <description>Patients in test group will receive personal ECG sensor and in control gropu will not.</description>
    <arm_group_label>Control</arm_group_label>
    <arm_group_label>Test</arm_group_label>
    <other_name>Savvy Personal ECG digital sensor</other_name>
  </intervention>
  <eligibility>
    <study_pop>
      <textblock>
        Patients who come to their family physician with the complaint of hearth rhythm disorder as&#xD;
        selected time. Their family physicians are also included.&#xD;
      </textblock>
    </study_pop>
    <sampling_method>Non-Probability Sample</sampling_method>
    <criteria>
      <textblock>
        Inclusion Criteria:&#xD;
&#xD;
          -  age over 18 years,&#xD;
&#xD;
          -  there was a history of suspected arrhythmia,&#xD;
&#xD;
          -  at the time of examination, the ECG is within normal limits&#xD;
&#xD;
          -  the patient has never been treated for any heart rhythm disorder.&#xD;
&#xD;
        Exclusion Criteria:&#xD;
&#xD;
          -  age less than 18 years,&#xD;
&#xD;
          -  on examination on the ECG, the patient was not in sinus rhythm, and&#xD;
&#xD;
          -  that the patient has a known heart rhythm disorder and / or is being treated for it.&#xD;
      </textblock>
    </criteria>
    <gender>All</gender>
    <minimum_age>18 Years</minimum_age>
    <maximum_age>N/A</maximum_age>
    <healthy_volunteers>Accepts Healthy Volunteers</healthy_volunteers>
  </eligibility>
  <overall_official>
    <last_name>Stasa Vodicka, MD</last_name>
    <role>Principal Investigator</role>
    <affiliation>Health care center Murska Sobota</affiliation>
  </overall_official>
  <location>
    <facility>
      <name>Health care center Murska Sobota</name>
      <address>
        <city>Murska Sobota</city>
        <zip>9000</zip>
        <country>Slovenia</country>
      </address>
    </facility>
  </location>
  <location_countries>
    <country>Slovenia</country>
  </location_countries>
  <link>
    <url>http://www.savvy.si</url>
    <description>Use of personal digital ECG sensor</description>
  </link>
  <reference>
    <citation>Mistry H. Systematic review of studies of the cost-effectiveness of telemedicine and telecare. Changes in the economic evidence over twenty years. J Telemed Telecare. 2012 Jan;18(1):1-6. doi: 10.1258/jtt.2011.110505. Epub 2011 Nov 18.</citation>
    <PMID>22101609</PMID>
  </reference>
  <results_reference>
    <citation>Lieberman J. How telemedicine is aiding prompt ECG diagnosis in primary care. Br J Community Nurs. 2008 Mar;13(3):123-6. doi: 10.12968/bjcn.2008.13.3.28676.</citation>
    <PMID>18557568</PMID>
  </results_reference>
  <results_reference>
    <citation>Orchard J, Freedman SB, Lowres N, Peiris D, Neubeck L. iPhone ECG screening by practice nurses and receptionists for atrial fibrillation in general practice: the GP-SEARCH qualitative pilot study. Aust Fam Physician. 2014 May;43(5):315-9.</citation>
    <PMID>24791776</PMID>
  </results_reference>
  <results_reference>
    <citation>Klein-Wiele O, Faghih M, Dreesen S, Urbien R, Abdelghafor M, Kara K, Schulte-Hermes M, Garmer M, Gronemeyer D, Hailer B. A novel cross-sector telemedical approach to detect arrhythmia in primary care patients with palpitations using a patient-activated event recorder. Cardiol J. 2016;23(4):422-8. doi: 10.5603/CJ.a2016.0033. Epub 2016 Jun 20.</citation>
    <PMID>27320955</PMID>
  </results_reference>
  <verification_date>July 2020</verification_date>
  <study_first_submitted>June 22, 2020</study_first_submitted>
  <study_first_submitted_qc>July 3, 2020</study_first_submitted_qc>
  <study_first_posted type="Actual">July 9, 2020</study_first_posted>
  <last_update_submitted>July 3, 2020</last_update_submitted>
  <last_update_submitted_qc>July 3, 2020</last_update_submitted_qc>
  <last_update_posted type="Actual">July 9, 2020</last_update_posted>
  <responsible_party>
    <responsible_party_type>Principal Investigator</responsible_party_type>
    <investigator_affiliation>Healthcare Center Murska Sobota</investigator_affiliation>
    <investigator_full_name>Stasa Vodicka</investigator_full_name>
    <investigator_title>asist. prof. Stasa Vodicka, MD</investigator_title>
  </responsible_party>
  <keyword>Heart rhythm disorder</keyword>
  <keyword>palpitation</keyword>
  <keyword>primary healthcare</keyword>
  <keyword>personal mobile ECG sensor</keyword>
  <keyword>referral</keyword>
  <condition_browse>
    <!-- CAUTION:  The following MeSH terms are assigned with an imperfect algorithm            -->
    <mesh_term>Arrhythmias, Cardiac</mesh_term>
  </condition_browse>
  <patient_data>
    <sharing_ipd>No</sharing_ipd>
  </patient_data>
  <provided_document_section>
    <provided_document>
      <document_type>Study Protocol and Statistical Analysis Plan</document_type>
      <document_has_protocol>Yes</document_has_protocol>
      <document_has_icf>No</document_has_icf>
      <document_has_sap>Yes</document_has_sap>
      <document_date>June 26, 2016</document_date>
      <document_url>https://ClinicalTrials.gov/ProvidedDocs/24/NCT04463524/Prot_SAP_000.pdf</document_url>
    </provided_document>
    <provided_document>
      <document_type>Informed Consent Form</document_type>
      <document_has_protocol>No</document_has_protocol>
      <document_has_icf>Yes</document_has_icf>
      <document_has_sap>No</document_has_sap>
      <document_date>June 26, 2016</document_date>
      <document_url>https://ClinicalTrials.gov/ProvidedDocs/24/NCT04463524/ICF_001.pdf</document_url>
    </provided_document>
  </provided_document_section>
  <!-- Results have not yet been posted for this study                                          -->
</clinical_study>


download date: ClinicalTrials.gov processed this data on September 20, 2023
link text: Link to the current ClinicalTrials.gov record.
url: https://clinicaltrials.gov/ct2/show/NCT04463524
org study id: UESVADZ001
nct id: NCT04463524
lead sponsor: 
has dmc: No
is fda regulated drug: No
is fda regulated device: No
This study aimed to analyze the usefulness of telecardiology in the primary health care level
      using an ECG personal sensor developed in Slovenia.Investigators also wanted to evaluate the
      satisfaction of patients and their physicians and the cost-effectiveness of this tool.
This observational prospective cohort study was conducted on patients with a history of
      rhythm disturbance who visited their family physician at the Health Care Center of Ljubljana
      and Health Care Center of Murska Sobota from October 2016 to January 2018. It included family
      physicians and their patients and was conducted on two levels. The inclusion criteria were
      age of ≥18 years, suspected heart rhythm disorder, and no previous diagnosis of rhythm
      disorder. Patients had a 12-channel ECG record performed at the first visit. If a rhythm
      disturbance was detected at that time, the patient was treated according to the guidelines
      and was not included in the study. However, if a diagnosis of rhythm disorder could not have
      been made, the patient was included in the study. In the study, the investigators divided
      participants into two groups: the test group and control group, where the patients in the
      test group received a wearable device. The pilot study is a part of an ongoing study that
      includes a bigger sample calculated with the help of Raosoft sample size calculator.
      Investigators estimated that a sample size of 100 patients (50 in test and 50 in the control
      group) is sufficient to obtain relevant data in the population. Patients who met these
      criteria were invited to participate in a study that was approved by the Ethics Committee of
      the Republic of Slovenia (number 0120-299/2017-7, KME 47/06/17), and written informed consent
      confirmed their participation. The study was conducted in accordance with The Code of Ethics
      of the World Medical Association (Declaration of Helsinki).

      In collaboration with medical experts, the Jožef Stefan Institute of Slovenia developed a
      personal portable ECG sensor that works in conjunction with a smartphone. The Personal
      Digital Mobile Body Sensor is listed in the medical device category, has the status of a
      medical device with all necessary certifications, and is owned by Savvy. It includes a
      personal sensor, ECG electrode kit, MobECG mobile application, and computer program called
      VisECG, which is currently available for Android only. The ECG sensor consists of two
      electrodes, which are placed 8.5 cm apart, and measures the potential between these two
      closely placed body-surface electrodes. The gadget weighs 21 g and has several possible
      positions of placement. The measurement is transmitted via Bluetooth connection to a
      smartphone, where the device is paired and managed via the MobECG mobile application.
      Initially, personal and other necessary information are entered into the smartphone
      application; then, the user can forget that he or she is wearing the device. The application
      works reliably in the background, even when using the phone for calls or other applications.
      If desired, the user can monitor the heart rate on the meter display with a curve and
      calculate it on an ongoing basis. Finally, the measurements are collected on the phone and
      can be transmitted to the physician in two ways: (1) pressing the button, the user can
      prepare a PDF report and send it to the physician's e-mail address or (2) transfer the data
      via USB cable to the physician's computer, where he or she can closely monitor the entire
      recording using VisECG. The first method is useful in the case of a severe disorder in which
      it is necessary to inform the physician. However, it is still related to the availability and
      responsiveness of the physician. When reading the recording, one should remember that it is
      not any standard lead typically used in a Holter monitor and that it is a single-channel
      measurement that is performed live on a patient moving and performing daily activities. The
      recordings can show different disorders but need to be evaluated so that artefacts can be
      distinguished from the actual disturbance of the rhythm. VisECG enables us to review and
      accurately analyze the recording and produce a report that can be submitted to physicians of
      other specialities for consultation or delivered to the patient and his or her physician as a
      measurement result. Given that the measurement is only a single channel, we can estimate the
      frequency and possible disturbances of rhythm but not ischemia.The study included the
      patients and their family physician. Patients with a complaint of heart rhythm disorder but
      no detectable rhythm disturbance on a 12-channel ECG record performed at the first visit were
      included. If a rhythm disturbance was detected at that time, the patient was treated
      according to the guidelines and was not included in the study. However, if a diagnosis of
      rhythm disorder could not have been made, the patient was included in the study. In the
      study, the investigators divided participants into two groups: test group where they received
      the personal ECG sensor and control group without the sensor one after another according to
      their visits at the office. However, the protocol was not followed rigorously, and physicians
      had the option of deciding for themselves if they prefer not to include the patient in the
      test group. The test group received an ECG sensor, which was placed by a healthcare
      professional and worn for three days. Whereat that time, they received information about the
      placement and handling of the sensor. The sensor was placed using two self-adhesive
      electrodes on the skin of the chest, which should not be too hairy. Then, the sensor was
      attached to the electrode and connected via Bluetooth to the smartphone, which was also
      provided to the patient with the charger for the duration of the examination. Patients were
      advised to perform their daily activities as regularly as possible and not to remove the
      sensor while showering or sleeping and keep the smartphone in the same room with them. In
      case the electrode peeled off, the patient had four spare electrodes and could install them
      himself. During the investigation, the patient kept a journal where he or she wrote down his
      or her problems and feelings. After 3 days, the patient returned to the healthcare provider,
      who removed the sensor and downloaded the measurements from the phone, which are then sent to
      the physicians who will analyze the reading. Then, the measurement was transferred to the
      computer memory and sent to the physicians for evaluation. The same patient underwent a
      checkup with the physician after 5-10 days, which depended on the date they had made an
      appointment. The physician read the recording, and in case of severe rhythm disorder, the
      patient was called earlier for a checkup at the physician's clinic where he or she received
      treatment as needed. The control group received a questionnaire and returned to the physician
      after 5-10 days.

      For the purpose of the study, a questionnaire was made, and it was validated in a similar
      pilot study in a hospital setting. At the first visit to the doctor's office, all patients
      received a questionnaire to record their problems and provide an opinion on the quality and
      usefulness of the examination. Also, physicians of all tested patient had to complete two
      questionnaires. One for a patient on the first visit, then after 5-10 days, and after 3
      months. The questionnaire provided us with demographics data, chronic illness and medication,
      presence of possible rhythm disorder and actions taken after first and second visit. The
      other questionnaire was used to record their comments on the quality and usefulness of this
      method.
observational model: Cohort
time perspective: Prospective
measure: Change from no detected hearth rhythm disorders to diagnosed hearth rhythm disorders at day 90
time frame: baseline and day 90
description: With the help of ECG sensor finding arrhythmias in patients where standard ECG record was normal. Change = (day 90 record - baseline record)
measure: Change in patients and doctors satisfaction with this method after detecting possible hearth rhythm disorders
time frame: baseline and day 90
description: With the help of a questionnaire see how users are satisfied with this method after 3 months. Change = (day 90 record - baseline record)
arm group label: Test
description: They will receive ECG sensor after initial standard 12-channel ECG record will be taken; they will return after 5 days and after 3 months to assess their hearth rhythm disorders and actions taken.
arm group label: Control
description: They will not receive ECG sensor after initial standard 12-channel ECG record will be taken; they will return after 5 days and after 3 months to assess their hearth rhythm disorders and actions taken.
intervention type: Device
intervention name: Personal ECG digital sensor
description: Patients in test group will receive personal ECG sensor and in control gropu will not.
arm group label: Control
arm group label: Test
other name: Savvy Personal ECG digital sensor
study pop: 
sampling method: Non-Probability Sample
criteria: 
gender: All
minimum age: 18 Years
maximum age: N/A
healthy volunteers: Accepts Healthy Volunteers
last name: Stasa Vodicka, MD
role: Principal Investigator
affiliation: Health care center Murska Sobota
facility: 
country: Slovenia
url: http://www.savvy.si
description: Use of personal digital ECG sensor
citation: Mistry H. Systematic review of studies of the cost-effectiveness of telemedicine and telecare. Changes in the economic evidence over twenty years. J Telemed Telecare. 2012 Jan;18(1):1-6. doi: 10.1258/jtt.2011.110505. Epub 2011 Nov 18.
PMID: 22101609
citation: Lieberman J. How telemedicine is aiding prompt ECG diagnosis in primary care. Br J Community Nurs. 2008 Mar;13(3):123-6. doi: 10.12968/bjcn.2008.13.3.28676.
PMID: 18557568
citation: Orchard J, Freedman SB, Lowres N, Peiris D, Neubeck L. iPhone ECG screening by practice nurses and receptionists for atrial fibrillation in general practice: the GP-SEARCH qualitative pilot study. Aust Fam Physician. 2014 May;43(5):315-9.
PMID: 24791776
citation: Klein-Wiele O, Faghih M, Dreesen S, Urbien R, Abdelghafor M, Kara K, Schulte-Hermes M, Garmer M, Gronemeyer D, Hailer B. A novel cross-sector telemedical approach to detect arrhythmia in primary care patients with palpitations using a patient-activated event recorder. Cardiol J. 2016;23(4):422-8. doi: 10.5603/CJ.a2016.0033. Epub 2016 Jun 20.
PMID: 27320955
responsible party type: Principal Investigator
investigator affiliation: Healthcare Center Murska Sobota
investigator full name: Stasa Vodicka
investigator title: asist. prof. Stasa Vodicka, MD
mesh term: Arrhythmias, Cardiac
sharing ipd: No
provided document: 
provided document: 