Motion capture with markerless and monocular AI-driven systems - new tolls for digital health

2021 ◽  
Author(s):  
Bernd Grimm ◽  
B. Grimm
Keyword(s):  
Motion Capture ◽  
Digital Health ◽  
Driven Systems

Transport of quantum states of periodically driven systems

1990 ◽  
Vol 51 (8) ◽  
pp. 709-722 ◽  
Author(s):  
H.P. Breuer ◽  
K. Dietz ◽  
M. Holthaus
Keyword(s):  
Quantum States ◽  
Driven Systems ◽  
Periodically Driven

An Overview of Digital Health in the Transition of Pediatric to Adult Epilepsy Care

2020 ◽  
Vol 09 (04) ◽  
pp. 106-113
Author(s):  
Ysabeau Bernard-Willis ◽  
Emily De Oliveira ◽  
Shaheen E Lakhan
Keyword(s):  
Health Management ◽  
Digital Health ◽  
Health Care Systems ◽  
Well Being ◽  
Pediatric Care ◽  
Medical Mistrust ◽  
Patient Portals ◽  
Language Therapy ◽  
Adult Care ◽  
Care Systems

AbstractChildren with epilepsy often have impairments in cognitive and behavioral functioning which may hinder socio-occupational well-being as they reach adulthood. Adolescents with epilepsy have the added worry of health problems while starting the transition from family-centered pediatric care into largely autonomous adult care. If this transition is not appropriately planned and resourced, it may result in medical mistrust, nonadherence, and worsening biopsychosocial health as an adult. In recent years, there has been increased availability of digital health solutions that may be used during this stark change in care and treating teams. The digital health landscape includes a wide variety of technologies meant to address challenges faced by patients, caregivers, medical professionals, and health care systems. These technologies include mobile health products and wearable devices (e.g., seizure monitors and trackers, smartphone passive data collection), digital therapeutics (e.g., cognitive/behavioral health management; digital speech–language therapy), telehealth services (e.g., teleneurology visits), and health information technology (e.g., electronic medical records with patient portals). Such digital health solutions may empower patients in their journey toward optimal brain health during the vulnerable period of pediatric to adult care transition. Further research is needed to validate and measure their impact on clinical outcomes, health economics, and quality of life.

Digitale Geschäftsmodelle im Gesundheitswesen

2020 ◽  
Keyword(s):  
Digital Health ◽  
Digitale Transformation ◽  
Ethische Aspekte ◽  
Start Up ◽  
Digitale Geschäftsmodelle

Digitale Geschäftsmodelle im Gesundheitswesen verändern sich rasant und bekannte Arbeitsweisen in Unternehmen werden auf links gedreht. Die digitale Transformation wird die nächsten Jahrzehnte das Kernthema im Gesundheitswesen sein. Es stellen sich für die Akteure und Akteurinnen die grundsätzlichen Fragen: - Welche neuen digitalen Geschäftsmodelle lassen sich entwickeln? - Wird es uns als Unternehmen in der Form morgen überhaupt noch geben? Und wenn ja, womit verdienen wir unser Geld? - Wie stellen wir uns als Unternehmen in Hinblick auf diese Herausforderungen und Chancen richtig auf? Hierbei spielen insbesondere organisatorische, personelle, finanzielle, regulatorische und ethische Aspekte eine zentrale Rolle. Das Praxisbuch bietet seinen Lesern eine aktuelle Bestandsaufnahme der Gesundheitsbranche in Hinblick auf die digitale Transformation und beantwortet wesentliche Fragen rund um das Thema Start-up und Gründung eines Digital-Health-Unternehmens wie z.B. Erfolgsfaktoren, Rahmenbedingungen, Finanzierung. Im Zentrum des Buches stehen die spannenden Interviews und Steckbriefe von Gründerinnen und Gründern aus der Digital-Health-Szene, gerahmt von pointierten Expertenbeiträgen, die ein Spezialthema hinsichtlich der drei Stichworte: Herausforderungen/Chancen/nächste Schritte kurz beleuchten. Die Digitalisierung wird die Gesundheitsversorgung rasch deutlich verändern. Dabei werden digitale Geschäftsmodelle zentrale Treiber sein. Das Buch ist ein Begleiter und Impulsgeber für alle, die sich in diesen neuen Geschäftsfeldern bewegen (wollen).

Correlational Methods for Analysis of Dance Movements

2011 ◽  
Vol 29 (supplement) ◽  
pp. 283-304 ◽  
Author(s):  
Timothy R. Brick ◽  
Steven M. Boker
Keyword(s):  
Motion Capture ◽  
Mirror Symmetry ◽  
Cross Correlation ◽  
The Other ◽  
Free Form ◽  
Motion Capture Data ◽  
Complex Interactions ◽  
Dance Movements ◽  
Time Lagged ◽  
Insight Into

Among the qualities that distinguish dance from other types of human behavior and interaction are the creation and breaking of synchrony and symmetry. The combination of symmetry and synchrony can provide complex interactions. For example, two dancers might make very different movements, slowing each time the other sped up: a mirror symmetry of velocity. Examining patterns of synchrony and symmetry can provide insight into both the artistic nature of the dance, and the nature of the perceptions and responses of the dancers. However, such complex symmetries are often difficult to quantify. This paper presents three methods – Generalized Local Linear Approximation, Time-lagged Autocorrelation, and Windowed Cross-correlation – for the exploration of symmetry and synchrony in motion-capture data as is it applied to dance and illustrate these with examples from a study of free-form dance. Combined, these techniques provide powerful tools for the examination of the structure of symmetry and synchrony in dance.

Implementation Strategy for a Digital Health Tool Influences User Engagement

Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 1320-P
Author(s):  
MANSUR SHOMALI ◽  
MALINDA PEEPLES
Keyword(s):  
Implementation Strategy ◽  
Digital Health ◽  
User Engagement

1193-P: “TechQuity” in Diabetes: Does Digital Health Technology Improve Equity?

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 1193-P
Author(s):  
KELLY JEAN CRAIG ◽  
KYU B. RHEE
Keyword(s):  
Digital Health ◽  
Health Technology
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