All Stories

  1. Wearables and Machine Learning Use for Activity of Daily Life and Fall Management in the Elderly: A Systematic Review (Preprint)
  2. The role of cardiovascular response as a predictor of neurologic disability in children with brain injury – a pilot study
  3. Integrating Privacy by Design Principles into AI-Driven Systems for Human Activity and Health Monitoring
  4. Software as a Medical Device (SaMD) in Digestive Healthcare: Regulatory Challenges and Ethical Implications
  5. MASK-air: An OECD (Organisation for Economic Co-operation and Development) Best Practice for Public Health on Integrated Care for Chronic Diseases
  6. Poor Rhinitis and Asthma Control Is Associated With Decreased Health-Related Quality of Life and Utilities: A MASK-air Study
  7. Understanding beliefs about inhaled medication in patients with persistent asthma: a cross-sectional analysis of the INSPIRERS studies
  8. Monitoring fatigue and drowsiness in motor vehicle occupants using electrocardiogram and heart rate − A systematic review
  9. Feasibility and Acceptability of Pediatric Smartphone Lung Auscultation by Parents: Cross-Sectional Study
  10. From MASK-air and SILAM to CATALYSE (Climate Action To Advance HeaLthY Societies in Europe)
  11. Multidisciplinary Development and Initial Validation of a Clinical Knowledge Base on Chronic Respiratory Diseases for mHealth Decision Support Systems
  12. AnyMApp for Online Usability Testing: The Use-Case of Inspirers-HTN
  13. How Anonymous Are Your Anonymized Data? The AnyMApp Case Study
  14. Patients' Satisfaction with Remote Asthma Medical Follow-Up Before and During the COVID-19 Pandemic
  15. MASK‐air® direct patient data support the ARIA‐MeDALL hypothesis on allergic phenotypes
  16. Symptoms of anxiety and depression in patients with persistent asthma: a cross-sectional analysis of the INSPIRERS studies
  17. Development and validation of an electronic daily control score for asthma (e-DASTHMA): a real-world direct patient data study
  18. Measuring adherence to inhaled control medication in patients with asthma: Comparison among an asthma app, patient self‐report and physician assessment
  19. ATHENA Research Book,Volume 1
  20. Measuring adherence to inhaled control medication in patients with asthma: comparison among an asthma app, patient self-report and physician assessment
  21. Development and Validation of a Digital Image Processing-Based Pill Detection Tool for an Oral Medication Self-Monitoring System
  22. Development and Validation of a Digital Image Processing-Based Pill Detection Tool for an Oral Medication Self-Monitoring System
  23. Development and validation of combined symptom‐medication scores for allergic rhinitis*
  24. 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?
  25. The use of remote care during the coronavirus disease 2019 pandemic a perspective of Portuguese and Spanish physicians
  26. Development and Validation of an Electronic Daily Control Score for Asthma (e-DASTHMA)
  27. Use of the Smartphone Camera to Monitor Adherence to Inhaled Therapy
  28. Determinants of the Use of Health and Fitness Mobile Apps by Patients With Asthma: Secondary Analysis of Observational Studies
  29. Phenotypes of persistent asthma in adolescents revealed different patterns in longitudinal asthma-related outcomes
  30. Engagement with an asthma app to monitor medication adherence and its association with patients’ characteristics
  31. Lung Auscultation Using the Smartphone—Feasibility Study in Real-World Clinical Practice
  32. Monitoring Adherence to Asthma Inhalers Using the InspirerMundi App: Analysis of Real-World, Medium-Term Feasibility Studies
  33. Feasibility and Acceptability of an Asthma App to Monitor Medication Adherence: Mixed Methods Study
  34. InspirerMundi—Remote Monitoring of Inhaled Medication Adherence through Objective Verification Based on Combined Image Processing Techniques
  35. DEVELOPMENT OF A MOBILE HEALTH APP FOR THE MANAGEMENT OF HYPERTENSION, INCLUDING TREATMENT ADHERENCE ASSESSMENT, USING IMAGE DETECTION TECHNOLOGY – INSPIRERS-HTN
  36. Profiling Persistent Asthma Phenotypes in Adolescents: A Longitudinal Diagnostic Evaluation from the INSPIRERS Studies
  37. 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)
  38. Prescribing patterns of medication for respiratory diseases cluster analysis of the Portuguese electronic prescription database
  39. Feasibility and Acceptability of an Asthma App to Monitor Medication Adherence: Mixed Methods Study (Preprint)
  40. Identification of clusters of asthma control: A preliminary analysis of the Inspirers studies
  41. Treatment of allergic rhinitis during and outside the pollen season using mobile technology. A MASK study
  42. mHealth to Securely Coach Chronic Patients
  43. Determinants of use of health and fitness mobile apps by patients with asthma: secondary analysis of observational studies (Preprint)
  44. ARIA digital anamorphosis: Digital transformation of health and care in airway diseases from research to practice
  45. Patient engagement with an asthma app to improve inhaler adherence
  46. Feasibility of an asthma app to monitor medication adherence
  47. Latent classes of adults with persistent asthma: data from the multicentre INSPIRERS studies
  48. Validation of app and phone versions of the Control of Allergic Rhinitis and Asthma Test (CARAT)
  49. Abstract
  50. Plateau Waves of Intracranial Pressure and Autonomic Stress Analysis
  51. Correlation between work impairment, scores of rhinitis severity and asthma using the MASK‐air ® App
  52. Patients to Mobilize Their Data: Secure and Flexible mHealth Delegation
  53. Patient-physician discordance in assessment of adherence to inhaled controller medication: a cross-sectional analysis of two cohorts
  54. Asthma apps use and interest among patients with asthma: a multicentre study
  55. Data-driven prescription patterns in patients under maintenance treatment for respiratory diseases from the Portuguese prescription database
  56. Reproducibility of the Vivatmopro measurements for exhaled nitric oxide values
  57. Validation of app and telephonic versions of the Control of Allergic Rhinitis and Asthma Test (CARAT)
  58. Automatic Quality Assessment of a Forced Expiratory Manoeuvre Acquired with the Tablet Microphone
  59. Combined Image-Based Approach for Monitoring the Adherence to Inhaled Medications
  60. How Secure Is Your Mobile Health?
  61. 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
  62. Next-generation ARIA care pathways for rhinitis and asthma: a model for multimorbid chronic diseases
  63. HOW INSPIRING IS YOUR APP? A USABILITY TAKE ON AN APP FOR ASTHMAMEDICATION ADHERENCE
  64. Mobile technology offers novel insights into the control and treatment of allergic rhinitis: The MASK study
  65. Adherence to treatment in allergic rhinitis using mobile technology. The MASK Study
  66. Guidance to 2018 good practice: ARIA digitally-enabled, integrated, person-centred care for rhinitis and asthma
  67. Quality assessment and feedback of Smart Device Microphone Spirometry executed by children
  68. Disentangling the heterogeneity of allergic respiratory diseases by latent class analysis reveals novel phenotypes
  69. How the Smartphone Is Changing Allergy Diagnostics
  70. MASK 2017: ARIA digitally-enabled, integrated, person-centred care for rhinitis and asthma multimorbidity using real-world-evidence
  71. Are paper-based forms and telephone interview equivalent modes of administration for the Control of Allergic Rhinitis and Asthma Test (CARAT)?
  72. SABA overuse in the Portuguese prescription database
  73. A comparison of unsupervised methods based on dichotomous data to identify clusters of airways symptoms: latent class analysis and partitioning around medoids methods.
  74. Allergic Rhinitis and its Impact on Asthma (ARIA) Phase 4 (2018): Change management in allergic rhinitis and asthma multimorbidity using mobile technology
  75. Adult asthma scores - development and validation of multivariable scores to identify asthma in surveys
  76. Phenotyping allergic respiratory diseases: An unsupervised classification using latent class analysis
  77. Geolocation with respect to personal privacy for the Allergy Diary app - a MASK study
  78. Automatic Quality Assessment of Smart Device Microphone Spirometry
  79. Forecasting the local risk for asthma hospitalizations from georeferenced environmental data – a pilot model
  80. digit—a tool fordetection andidentification ofgenomicinterchromosomaltranslocations
  81. Implant Stability in the Posterior Maxilla: A Controlled Clinical Trial
  82. ARFIMA-GARCH Modeling of HRV: Clinical Application in Acute Brain Injury
  83. Forecasting Asthma Hospital Admissions from Remotely Sensed Environmental Data
  84. Respiratory Rate Estimation from Multilead ECG Delineation using VCG Directions on Fiducial Points
  85. Validation of heart rate monitor Polar RS800 for heart rate variability analysis during exercise
  86. ESICM LIVES 2016: part two
  87. Respiratory rate estimation from multilead directions, based on ECG delineation
  88. Heart Rate Variability in Children Submitted to Surgery
  89. Reliability Loss with Sampling Rate Reduction
  90. Heart rate variability during plateau waves of intracranial pressure: A pilot descriptive study
  91. Independent Component Analysis (ICA) performance to bathymetric estimation using high resolution satellite data in an estuarine environment
  92. Fetal QRS detection and heart rate estimation: a wavelet-based approach
  93. T-wave alternans and autonomic nervous system activity during orthostatic stress after 5 days of head-down bed-rest
  94. Impaired T-wave amplitude adaptation to heart-rate induced by cardiac deconditioning after 5-days of head-down bed-rest
  95. Heart rate and ventricular repolarization variabilities interactions modification by microgravity simulation during head-down bed rest test
  96. Microgravity effects on ventricular response to heart rate changes
  97. Respiration Effect on Wavelet-Based ECG T-Wave End Delineation Strategies
  98. Respiration effect on single and multi lead ECG delineation strategies
  99. BioSigBrowser, biosignal processing interface
  100. Multilead ECG Delineation Using Spatially Projected Leads From Wavelet Transform Loops
  101. QT Variability and HRV Interactions in ECG: Quantification and Reliability
  102. dAMUSE—A new tool for denoising and blind source separation
  103. Improved QT variability quantification by multilead automatic delineation
  104. A Wavelet-Based ECG Delineator: Evaluation on Standard Databases
  105. A parametric model approach for quantification of short term QT variability uncorrelated with heart rate variability
  106. Tragic Vision in Romeo and Juliet (by James H. Seward)
  107. QRS Detection Optimization in Stress Test Recordings Using Evolutionary Algorithms
  108. Blind source separation using time-delayed signals
  109. Iquantification of the QT variability related to HRV: robustness study facing automatic delineation and noise on the ECG