Results 11 to 20 of about 7,761,607 (342)
Vision-based Human Fall Detection Systems using Deep Learning: A Review [PDF]
Computers in Biology and Medicine, 2022 Human fall is one of the very critical health issues, especially for elders and disabled people living alone. The number of elder populations is increasing steadily worldwide.
Ekram Alam +3 more
semanticscholar +1 more source
Evaluation of Clinical Practice Guidelines on Fall Prevention and Management for Older Adults
JAMA Network Open, 2021 Key Points Question What are the most common consistent recommendations in fall prevention clinical practice guidelines, across settings, for adults 60 years or older?
M. Montero‐Odasso +108 more
semanticscholar +1 more source
Latest Research Trends in Fall Detection and Prevention Using Machine Learning: A Systematic Review
Italian National Conference on Sensors, 2021 Falls are unusual actions that cause a significant health risk among older people. The growing percentage of people of old age requires urgent development of fall detection and prevention systems.
S. Usmani +4 more
semanticscholar +1 more source
MMWR. Morbidity and mortality weekly report, 2020 Falls are the leading cause of injury among adults aged ≥65 years (older adults) in the United States. In 2018, an estimated 3 million emergency department visits, more than 950,000 hospitalizations or transfers to another facility (e.g., trauma center),
B. Moreland +2 more
semanticscholar +1 more source
Wearable Sensor Systems for Fall Risk Assessment: A Review
Frontiers in Digital Health, 2022 Fall risk assessment and fall detection are crucial for the prevention of adverse and long-term health outcomes. Wearable sensor systems have been used to assess fall risk and detect falls while providing additional meaningful information regarding gait ...
S. Subramaniam +2 more
semanticscholar +1 more source
The Fall of the Labor Share and the Rise of Superstar Firms*
Quarterly Journal of Economics, 2017 The fall of labor’s share of GDP in the United States and many other countries in recent decades is well documented but its causes remain uncertain. Existing empirical assessments typically rely on industry or macro data, obscuring heterogeneity among ...
David H. Autor +6 more
semanticscholar +1 more source
Relations Between the Luminosity, Mass, and Age Distributions of Young Star Clusters [PDF]
, 2006 We derive and interpret some relations between the luminosity, mass, and age distributions of star clusters, denoted here by phi(L), psi(M), and chi(tau), respectively.
Fall, S. Michael
core +4 more sources
New Tests for Disruption Mechanisms of Star Clusters: The Large and Small Magellanic Clouds [PDF]
, 2010 We compare the observed bivariate distribution of masses(M) and ages(t) of star clusters in the LMC with the predicted distributions g(M,t) from 3 idealized models for the disruption of star clusters: (1)sudden mass-dependent disruption;(2)gradual mass ...
Binney +36 more
core +1 more source
Sharp nonexistence results for a linear elliptic inequality involving Hardy and Leray potentials [PDF]
, 2010 In this paper we deal with nonnegative distributional supersolutions for a class of linear elliptic equations involving inverse-square potentials and logarithmic weights.
Fall, Mouhamed Moustapha +1 more
core +4 more sources
The Incidence and Risk Factors of Falls During Pregnancy
Clinical and Experimental Obstetrics & Gynecology, 2022 Background: During pregnancy, many hormonal, anatomical, and musculoskeletal changes occur. These changes alter the postural balance and increase the risk of falls. Falls during pregnancy can cause maternal and foetal injuries.
Paula Drabiščáková +6 more
doaj +1 more source