3 citations · 3 across the 2 of their papers we have counts for
6 papers
Analysing the Correlation of Geriatric Assessment Scores and Activity in Smart Homes
Björn Friedrich, Enno-Edzard Steen, Sebastian Fudickar +1
A continuous monitoring of the physical strength and mobility of elderly people is important for maintaining their health and treating diseases at an early stage. However, frequent…
Detecting impending malnutrition of elderly people in domestic smart home environments
Björn Friedrich, Jürgen Bauer, Andreas Hein
Proper nutrition is very important for the well-being and independence of elderly people. A significant loss of body weight or a decrease of the Body Mass Index respectively is an…
Transportation Mode Classification from Smartphone Sensors via a Long-Short-Term-Memory Network
Björn Friedrich, Benjamin Cauchy, Andreas Hein +1
This article introduces the architecture of a Long-Short-Term Memory network for classifying transportation-modes via Smartphone data and evaluates its accuracy. By using a Long-Sh…
An evolutionary approach to continuously estimate CPR quality parameters from a wrist-worn inertial sensor
Christian Lins, Björn Friedrich, Andreas Hein +1
Cardiopulmonary resuscitation (CPR) is one of the most critical emergency interventions for sudden cardiac arrest. In this paper, a robust sinusoidal model-fitting method based on…
Staying Alive - CPR Quality Parameters from Wrist-worn Inertial Sensor Data with Evolutionary Fitted Sinusoidal Models
Christian Lins, Andreas Klausen, Sandra Hellmers +2
In this paper, a robust sinusoidal model fitting method based on the Differential Evolution (DE) algorithm for determining cardiopulmonary resuscitation (CPR) quality-parameters -…
Cardiopulmonary resuscitation quality parameters from motion capture data using Differential Evolution fitting of sinusoids
Christian Lins, Daniel Eckhoff, Andreas Klausen +3
Cardiopulmonary resuscitation (CPR) is alongside electrical defibrillation the most crucial countermeasure for sudden cardiac arrest, which affects thousands of individuals every y…