All Stories

  1. Measuring adherence to inhaled control medication in patients with asthma: Comparison among an asthma app, patient self‐report and physician assessment
  2. ATHENA Research Book,Volume 1
  3. Measuring adherence to inhaled control medication in patients with asthma: comparison among an asthma app, patient self-report and physician assessment
  4. Development and Validation of a Digital Image Processing-Based Pill Detection Tool for an Oral Medication Self-Monitoring System
  5. Development and Validation of a Digital Image Processing-Based Pill Detection Tool for an Oral Medication Self-Monitoring System
  6. Development and validation of combined symptom‐medication scores for allergic rhinitis*
  7. What Do Physicians Think About the Use of Telemedicine to Recruit and Assess Participants in mHealth-Related Clinical Studies as a Consequence of the COVID-19 Pandemic?
  8. The use of remote care during the coronavirus disease 2019 pandemic a perspective of Portuguese and Spanish physicians
  9. Development and Validation of an Electronic Daily Control Score for Asthma (e-DASTHMA)
  10. Determinants of the Use of Health and Fitness Mobile Apps by Patients With Asthma: Secondary Analysis of Observational Studies
  11. Lung Auscultation Using the Smartphone—Feasibility Study in Real-World Clinical Practice
  12. Feasibility and Acceptability of an Asthma App to Monitor Medication Adherence: Mixed Methods Study
  13. InspirerMundi—Remote Monitoring of Inhaled Medication Adherence through Objective Verification Based on Combined Image Processing Techniques
  14. DEVELOPMENT OF A MOBILE HEALTH APP FOR THE MANAGEMENT OF HYPERTENSION, INCLUDING TREATMENT ADHERENCE ASSESSMENT, USING IMAGE DETECTION TECHNOLOGY – INSPIRERS-HTN
  15. Profiling Persistent Asthma Phenotypes in Adolescents: A Longitudinal Diagnostic Evaluation from the INSPIRERS Studies
  16. What do physicians think about the use of telemedicine to recruit and assess participants in mHealth clinical studies as a consequence of the COVID-19 pandemic? (Preprint)
  17. Prescribing patterns of medication for respiratory diseases cluster analysis of the Portuguese electronic prescription database
  18. Feasibility and Acceptability of an Asthma App to Monitor Medication Adherence: Mixed Methods Study (Preprint)
  19. Identification of clusters of asthma control: A preliminary analysis of the Inspirers studies
  20. Treatment of allergic rhinitis during and outside the pollen season using mobile technology. A MASK study
  21. mHealth to Securely Coach Chronic Patients
  22. Determinants of use of health and fitness mobile apps by patients with asthma: secondary analysis of observational studies (Preprint)
  23. ARIA digital anamorphosis: Digital transformation of health and care in airway diseases from research to practice
  24. Patient engagement with an asthma app to improve inhaler adherence
  25. Feasibility of an asthma app to monitor medication adherence
  26. Latent classes of adults with persistent asthma: data from the multicentre INSPIRERS studies
  27. Validation of app and phone versions of the Control of Allergic Rhinitis and Asthma Test (CARAT)
  28. Abstract
  29. Plateau Waves of Intracranial Pressure and Autonomic Stress Analysis
  30. Correlation between work impairment, scores of rhinitis severity and asthma using the MASK‐air ® App
  31. Patients to Mobilize Their Data: Secure and Flexible mHealth Delegation
  32. Patient-physician discordance in assessment of adherence to inhaled controller medication: a cross-sectional analysis of two cohorts
  33. Asthma apps use and interest among patients with asthma: a multicentre study
  34. Data-driven prescription patterns in patients under maintenance treatment for respiratory diseases from the Portuguese prescription database
  35. Reproducibility of the Vivatmopro measurements for exhaled nitric oxide values
  36. Validation of app and telephonic versions of the Control of Allergic Rhinitis and Asthma Test (CARAT)
  37. Automatic Quality Assessment of a Forced Expiratory Manoeuvre Acquired with the Tablet Microphone
  38. Combined Image-Based Approach for Monitoring the Adherence to Inhaled Medications
  39. How Secure Is Your Mobile Health?
  40. High oral corticosteroid exposure and overuse of short-acting beta-2-agonists were associated with insufficient prescribing of controller medication: a nationwide electronic prescribing and dispensing database analysis
  41. Next-generation ARIA care pathways for rhinitis and asthma: a model for multimorbid chronic diseases
  42. HOW INSPIRING IS YOUR APP? A USABILITY TAKE ON AN APP FOR ASTHMAMEDICATION ADHERENCE
  43. Mobile technology offers novel insights into the control and treatment of allergic rhinitis: The MASK study
  44. Adherence to treatment in allergic rhinitis using mobile technology. The MASK Study
  45. Guidance to 2018 good practice: ARIA digitally-enabled, integrated, person-centred care for rhinitis and asthma
  46. Quality assessment and feedback of Smart Device Microphone Spirometry executed by children
  47. Disentangling the heterogeneity of allergic respiratory diseases by latent class analysis reveals novel phenotypes
  48. How the Smartphone Is Changing Allergy Diagnostics
  49. MASK 2017: ARIA digitally-enabled, integrated, person-centred care for rhinitis and asthma multimorbidity using real-world-evidence
  50. Are paper-based forms and telephone interview equivalent modes of administration for the Control of Allergic Rhinitis and Asthma Test (CARAT)?
  51. SABA overuse in the Portuguese prescription database
  52. A comparison of unsupervised methods based on dichotomous data to identify clusters of airways symptoms: latent class analysis and partitioning around medoids methods.
  53. Allergic Rhinitis and its Impact on Asthma (ARIA) Phase 4 (2018): Change management in allergic rhinitis and asthma multimorbidity using mobile technology
  54. Adult asthma scores - development and validation of multivariable scores to identify asthma in surveys
  55. Phenotyping allergic respiratory diseases: An unsupervised classification using latent class analysis
  56. Geolocation with respect to personal privacy for the Allergy Diary app - a MASK study
  57. Automatic Quality Assessment of Smart Device Microphone Spirometry
  58. Forecasting the local risk for asthma hospitalizations from georeferenced environmental data – a pilot model
  59. digit—a tool fordetection andidentification ofgenomicinterchromosomaltranslocations
  60. Implant Stability in the Posterior Maxilla: A Controlled Clinical Trial
  61. ARFIMA-GARCH Modeling of HRV: Clinical Application in Acute Brain Injury
  62. Forecasting Asthma Hospital Admissions from Remotely Sensed Environmental Data
  63. Respiratory Rate Estimation from Multilead ECG Delineation using VCG Directions on Fiducial Points
  64. Validation of heart rate monitor Polar RS800 for heart rate variability analysis during exercise
  65. ESICM LIVES 2016: part two
  66. Respiratory rate estimation from multilead directions, based on ECG delineation
  67. Heart Rate Variability in Children Submitted to Surgery
  68. Reliability Loss with Sampling Rate Reduction
  69. Heart rate variability during plateau waves of intracranial pressure: A pilot descriptive study
  70. Independent Component Analysis (ICA) performance to bathymetric estimation using high resolution satellite data in an estuarine environment
  71. Fetal QRS detection and heart rate estimation: a wavelet-based approach
  72. T-wave alternans and autonomic nervous system activity during orthostatic stress after 5 days of head-down bed-rest
  73. Impaired T-wave amplitude adaptation to heart-rate induced by cardiac deconditioning after 5-days of head-down bed-rest
  74. Heart rate and ventricular repolarization variabilities interactions modification by microgravity simulation during head-down bed rest test
  75. Microgravity effects on ventricular response to heart rate changes
  76. Respiration Effect on Wavelet-Based ECG T-Wave End Delineation Strategies
  77. Respiration effect on single and multi lead ECG delineation strategies
  78. BioSigBrowser, biosignal processing interface
  79. Multilead ECG Delineation Using Spatially Projected Leads From Wavelet Transform Loops
  80. QT Variability and HRV Interactions in ECG: Quantification and Reliability
  81. dAMUSE—A new tool for denoising and blind source separation
  82. Improved QT variability quantification by multilead automatic delineation
  83. A Wavelet-Based ECG Delineator: Evaluation on Standard Databases
  84. A parametric model approach for quantification of short term QT variability uncorrelated with heart rate variability
  85. Tragic Vision in Romeo and Juliet (by James H. Seward)
  86. QRS Detection Optimization in Stress Test Recordings Using Evolutionary Algorithms
  87. Blind source separation using time-delayed signals
  88. Iquantification of the QT variability related to HRV: robustness study facing automatic delineation and noise on the ECG