This page has only limited features, please log in for full access.

Unclaimed
C. F. Pedersen
Aarhus University

Basic Info

Basic Info is private.

Honors and Awards

The user has no records in this section


Career Timeline

The user has no records in this section.


Short Biography

The user biography is not available.
Following
Followers
Co Authors
The list of users this user is following is empty.
Following: 0 users

Feed

Conference paper
Published: 01 March 2015 in 2015 IEEE International Wireless Symposium (IWS 2015)
Reads 0
Downloads 0

An innovative wireless authentication platform for healthcare applications is designed, implemented and tested. It acts as a Common Recognition and Identification Platform (CRIP) operating with write/read function via either NFC or biometric modules for the users' authentication. The CRIP base station architecture consists of 13.56MHz NFC/RFID and 2.4GHz IEEE standard 802.15.1 BLE modules. The Bluetooth function enables the medical device communication with the tens meter range RF link. The CRIP prototype was tested successfully in hospital environments. The blood pressure data transmission in real time was collected and monitored with an assistant living healthcare platform. Finally, the CRIP complies in conformity with the electromagnetic compatibility (EMC) standard EN55022 Class B requirements.

ACS Style

Jorge Miranda; Jorge Cabral; B. Ravelo; Stefan Wagner; C. F. Pedersen; Mukhtiar Memon; M. Mathiesen. Wireless authentication platform for healthcare applications. 2015 IEEE International Wireless Symposium (IWS 2015) 2015, 1 -4.

AMA Style

Jorge Miranda, Jorge Cabral, B. Ravelo, Stefan Wagner, C. F. Pedersen, Mukhtiar Memon, M. Mathiesen. Wireless authentication platform for healthcare applications. 2015 IEEE International Wireless Symposium (IWS 2015). 2015; ():1-4.

Chicago/Turabian Style

Jorge Miranda; Jorge Cabral; B. Ravelo; Stefan Wagner; C. F. Pedersen; Mukhtiar Memon; M. Mathiesen. 2015. "Wireless authentication platform for healthcare applications." 2015 IEEE International Wireless Symposium (IWS 2015) , no. : 1-4.

Review
Published: 04 March 2014 in Sensors
Reads 0
Downloads 0

Ambient Assisted Living (AAL) is an emerging multi-disciplinary field aiming at exploiting information and communication technologies in personal healthcare and telehealth systems for countering the effects of growing elderly population. AAL systems are developed for personalized, adaptive, and anticipatory requirements, necessitating high quality-of-service to achieve interoperability, usability, security, and accuracy. The aim of this paper is to provide a comprehensive review of the AAL field with a focus on healthcare frameworks, platforms, standards, and quality attributes. To achieve this, we conducted a literature survey of state-of-the-art AAL frameworks, systems and platforms to identify the essential aspects of AAL systems and investigate the critical issues from the design, technology, quality-of-service, and user experience perspectives. In addition, we conducted an email-based survey for collecting usage data and current status of contemporary AAL systems. We found that most AAL systems are confined to a limited set of features ignoring many of the essential AAL system aspects. Standards and technologies are used in a limited and isolated manner, while quality attributes are often addressed insufficiently. In conclusion, we found that more inter-organizational collaboration, user-centered studies, increased standardization efforts, and a focus on open systems is needed to achieve more interoperable and synergetic AAL solutions.

ACS Style

Mukhtiar Memon; Stefan Rahr Wagner; Christian Fischer Pedersen; Femina Hassan Aysha Beevi; Finn Overgaard Hansen. Ambient Assisted Living Healthcare Frameworks, Platforms, Standards, and Quality Attributes. Sensors 2014, 14, 4312 -4341.

AMA Style

Mukhtiar Memon, Stefan Rahr Wagner, Christian Fischer Pedersen, Femina Hassan Aysha Beevi, Finn Overgaard Hansen. Ambient Assisted Living Healthcare Frameworks, Platforms, Standards, and Quality Attributes. Sensors. 2014; 14 (3):4312-4341.

Chicago/Turabian Style

Mukhtiar Memon; Stefan Rahr Wagner; Christian Fischer Pedersen; Femina Hassan Aysha Beevi; Finn Overgaard Hansen. 2014. "Ambient Assisted Living Healthcare Frameworks, Platforms, Standards, and Quality Attributes." Sensors 14, no. 3: 4312-4341.

Book chapter
Published: 01 January 2014 in Advances in Intelligent Systems and Computing
Reads 0
Downloads 0

Lateral fall is a major cause of hip fractures in elderly people. An automatic fall detection algorithm can reduce the time to get medical help. In this paper, we propose a fall detection algorithm that detects lateral falls by identifying the events in the Linear Prediction (LP) residual of the acceleration experienced by the the body during a fall. The acceleration is measured by a triaxial accelerometer. The accelerometer is attached to an elastic band and is worn around the test subject’s waist. The LP residual is filtered using a Savitzky-Golay filter and the maximum peaks are identified as falls. The results indicate that the lateral falls can be detected using our algorithm with a sensitivity of 84% when falling from standing and 90% when falling from walking.

ACS Style

F. H. Aysha Beevi; C. F. Pedersen; S. Wagner; S. Hallerstede. Lateral Fall Detection via Events in Linear Prediction Residual of Acceleration. Advances in Intelligent Systems and Computing 2014, 201 -208.

AMA Style

F. H. Aysha Beevi, C. F. Pedersen, S. Wagner, S. Hallerstede. Lateral Fall Detection via Events in Linear Prediction Residual of Acceleration. Advances in Intelligent Systems and Computing. 2014; ():201-208.

Chicago/Turabian Style

F. H. Aysha Beevi; C. F. Pedersen; S. Wagner; S. Hallerstede. 2014. "Lateral Fall Detection via Events in Linear Prediction Residual of Acceleration." Advances in Intelligent Systems and Computing , no. : 201-208.