Bringing it all together: Wearable data fusion

Citizen data sovereignty is key to wearables and wellness data reuse for the common good

“…This data relates to the wellness/lifestyle domains of sleep, diet, activity, sport, and mood 3 . Data from consumer-facing domains in wellness and lifestyle are effectively inseparable from data collected from regulated health and wellness apps, interacting often with the same wearable sensors, and relating to the same physiological recordings and similar patient-generated interactions 4 , 5 . The EHDS proposal acknowledges three fundamental concepts that will be transformational to modern medicine, medical research and medical technology development: (i) health and data on health do not start at the clinic gate and the personal wellness category of health data describes, in intricate detail, the health of individuals; (ii) the center of gravity of health data is shifting continuously away from the clinic perimeter and towards the sofa, the pocket, the wrist and the sensor skin patch of the citizen; and (iii) if acceptable and workable approaches are found to link this data to personal EHR data, much can be learned for the understanding of diseases, developing of new approaches for early prediction and intervention in diseases and for increasing the efficiency of public health and healthcare delivery 3 , 6 , 7 .…”

Considering and understanding developmental and deployment barriers for wearable technologies in neurosciences

“…Another example could involve evaluating the relationship between sleep quality, heart rate variability, and stress levels during the day (Khanna and Jones, 2023 ). That scenario would require data fusion from various sensors, including actigraphy, respiratory sensors (e.g., nasal airflow sensors), galvanic skin response (GSR), body temperature, and heart rate sensors (Celik and Godfrey, 2023 ).…”

Redefining Health Care Data Interoperability: Empirical Exploration of Large Language Models in Information Exchange

“…This shift complicates data exchange processes as it demands the integration of data from multiple health care institutions, thereby posing substantial challenges [ 2 , 3 ]. Additionally, health care is increasingly including patient-generated health data (PGHD) from a diverse range of devices, including wearable technology, given the heterogeneity of products from different vendors [ 4 - 6 ].…”