Automatisierungstechnische Verfahren für die Medizin

Migration has become a common demographic response of Filipinos to various socio-economic problems. In the light of the severe economic crisis that has confronted the country in recent years, the Philippines has become a major source for international migrants and become one of the largest sending countries of labor to various countries in the world. The Filipino workers, both women and men, leave the country in order to earn a sustainable income, a condition that is difficult or inadequate in their own country. This research investigated if OFWs perceived themselves within the context of the social labels “local modern day heroes” or “global servants”. Do these labels affect their personal, family or social life? In this paper, the author used the grounded theory research method to formulate a theory concerning the perception of the identity of OFWs: a local hero or a global servant. The author conducted an on-line survey of OFW men and women who have been deployed since 2001 in one of five countries: Canada, Italy, Hong Kong, Taiwan and Saudi Arabia. The three most important findings of this research were the following: Globalization has created a new reality for OFWs, there has been a feminization of Philippine migration and OFWs have based their identity on what they can do for their family. OFWs know who they are and do not care how others perceived them. Because of the importance the OFWs place on the welfare and well-being of their families, labels are of little significance to them

Automatisierungstechnische Verfahren und Systeme für die Medizin: Methods and Systems of Automation in Medicine

ISSN:0178-2312ISSN:2196-677

Application of Iterative Learning Control for Repetitive Processes in Breathing Therapy

The continuous positive airway pressure (CPAP) therapy is the gold standard to treat the obstructive sleep apnoea syndrome. This continuous pressure splints the upper respiratory tracts and prevents a collapse of the pharynx. If not being treated a collapse of the upper respiratory tracts reduces the blood oxygen concentration and increases the CO2 concentration leading to repeated sleep disruptions. Many CPAP-devices cannot maintain the reference pressure, which can lead to an uncomfortable perception for the patient. To reduce the pressure deviation in the mask we want to apply the Iterative Learning Control (ILC) method, because the breathing of the patient is a repetitive process - and at night the breathing patterns are even and recurring from breath to breath

Automatisierungstechnische Verfahren und Systeme für die Medizin: Teil 2

ISSN:0178-2312ISSN:2196-677

Model predictive control approach for a CPAP-device

The obstructive sleep apnoea syndrome (OSAS) is characterized by a collapse of the upper respiratory tract, resulting in a reduction of the blood oxygen- and an increase of the carbon dioxide (CO2) - concentration, which causes repeated sleep disruptions. The gold standard to treat the OSAS is the continuous positive airway pressure (CPAP) therapy. The continuous pressure keeps the upper airway open and prevents the collapse of the upper respiratory tract and the pharynx. Most of the available CPAP-devices cannot maintain the pressure reference [1]. In this work a model predictive control approach is provided. This control approach has the possibility to include the patient’s breathing effort into the calculation of the control variable. Therefore a patient-individualized control strategy can be developed

Automatisierungstechnische Verfahren und Systeme für die Medizin

ISSN:0178-2312ISSN:2196-677