Towards a digitally connected body for holistic and continuous health insight

Gutruf, Philipp

doi:10.1038/s43246-023-00443-7

Cited by 3 publications

(1 citation statement)

References 35 publications

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“…Advocates of the holistic approach, such as Relmen, Gordon (1982), and Callan initially emphasised the unity of various health manifestations but eventually lost the spiritual dimension of health. Today, the holistic approach has narrowed to the consideration of comprehensive digitalisation of health (Gutruf, 2024). Therefore, there is a need to add a focus on the existential dimension to the contemporary understanding of the holistic approach and to call this approach causally holistic, making it most suitable for studying whole health.…”

Section: Literature Reviewmentioning

confidence: 99%

Philosophy of Health Within the Metamodern Worldview Paradigm

2024

Futurity Philosophy

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The issue of human health is one of the most pressing social crises facing humanity. This article reevaluated health as a manifestation of overall human well-being, drawing inspiration from the philosophical and anthropological principles of metamodernism. It involved identifying characteristics of anthropo-being during metamodernism, exploring changes in the philosophical understanding of "health" and "illness" across historical periods, and determining the influence of the metamodernist worldview on the "health-illness" system for forming human wholeness. Methods of historical analysis, structural analysis of the metamodern stage, and modelling, based on metamodern oscillation and the causal-systemic approach was used in the paper. The research results revealed that metamodernism features oscillations between opposites without negating either, forming a new quality of life based on synthesising previous intellectual traditions; seeking life's meaning by returning to individuality; and uniting spiritual and material modes of anthropo-being. The perception of "health" has shifted in accordance with the changing worldviews throughout history. In the era of metamodernism, merging opposing qualities to form harmony offers a fresh outlook on the "health-illness" dynamic, paving the way for personal development by transcending spiritual challenges and imperfections. This philosophical study of health through metamodernism highlighted illness's potential as an integral health system mode, stimulating individuality search, past experience transformation, and evolutionary spiritual growth. This approach offered new perspectives for revising contemporary medical paradigms, complementing treatment with psychological transformation practices. Metamodernist perspectives view the "health-illness" system as a fusion of the holistic health system's opposing elements. Illness is seen as a companion in the quest for deeper existential meaning. The oscillation of "health-illness" systems creates transformative flows, birthing new experiences, opening new life values and perspectives. This allows self-improvement and internal growth as individuals and parts of larger systems: collectives, society, and the planet. The result of internal spiritual growth consequently leads to physical healing.

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Section: Literature Reviewmentioning

confidence: 99%

Philosophy of Health Within the Metamodern Worldview Paradigm

2024

Futurity Philosophy

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Wearable sensors for monitoring chronic kidney disease

Han,

Yamamoto,

Jung

et al. 2024

Commun Mater

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Wearable sensors have evolved significantly, making personalized medicine and real-time disease management possible. However, current digital healthcare is limited to only certain diseases, such as diabetes, due to the lack of mature technologies that can detect small biomolecules. In particular, despite the early detection of chronic kidney disease (CKD) being significant in preventing life-threatening end-stage kidney disease, the development of wearable sensors for CKD monitoring is still in the early stages. In this Perspective, we propose a wearable digital healthcare concept for non-invasive, continuous CKD monitoring, discuss optimal biofluids, biomarkers and bioreceptors to create a wearable CKD sensing platform, and provide insight into potential challenges faced by the technology as well as opportunities.

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Enhancing EEG data quality and precision for cloud-based clinical applications: an evaluation of the SLOG framework

Ghani,

Heinrich,

Brown

et al. 2024

Biomed. Phys. Eng. Express

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Automation is revamping our preprocessing pipelines, and accelerating the delivery of personalized digital medicine. It improves efficiency, reduces costs, and allows clinicians to treat patients without significant delays. However, the influx of multimodal data highlights the need to protect sensitive information, such as clinical data, and safeguard data fidelity. One of the neuroimaging modalities that produces large amounts of time-series data is Electroencephalography (EEG). It captures the neural dynamics in a task or resting brain state with high temporal resolution. EEG electrodes placed on the scalp acquire electrical activity from the brain. These electrical potentials attenuate as they cross multiple layers of brain tissue and fluid yielding relatively weaker signals than noise – low signal-to-noise ratio. EEG signals are further distorted by internal physiological artifacts, such as eye movements (EOG) or heartbeat (ECG), and external noise, such as line noise 50 Hz. EOG artefacts, due to their proximity to the frontal brain regions, are particularly challenging to eliminate. Therefore, a widely used EOG rejection method, independent component analysis (ICA), demands manual inspection of the marked EOG components before they are rejected from the EEG data. We underscore the inaccuracy of automatized ICA rejection and provide an auxiliary algorithm – Second Layer Inspection for EOG (SLOG) in the clinical environment. SLOG based on spatial and temporal patterns of eye movements, re-examines the already marked EOG artifacts and confirms no EEG-related activity is mistakenly eliminated in this artifact rejection step. SLOG achieved a 99% precision rate on the simulated dataset while 85% precision on the real EEG dataset. One of the primary considerations for cloud-based applications are operational costs, including computing power. Algorithms like SLOG allow us to maintain data fidelity and precision without overloading the cloud platforms and maxing out our budgets.

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Towards a digitally connected body for holistic and continuous health insight

Cited by 3 publications

References 35 publications

Philosophy of Health Within the Metamodern Worldview Paradigm

Philosophy of Health Within the Metamodern Worldview Paradigm

Wearable sensors for monitoring chronic kidney disease

Enhancing EEG data quality and precision for cloud-based clinical applications: an evaluation of the SLOG framework

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