All Stories

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