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Wireless technologies are currently among the most prominent candidates for use by the medical and care-giving community as a part of the development of telemedicine systems. The exponential progress of these technologies is expected to open a multitude of opportunities and choices for enhanced patient safety, better data collection, increased convenience for patients, and reduced costs for health systems. Thanks to the cost effectiveness and clinical acceptability of wireless telecommunication technology, patient diagnosis and treatment have been significantly improved. Technology for remote sensing of patients' activity is also being developed.
Jorge Miranda; Mukhtiar Memon; Jorge Cabral; Blaise Ravelo; Stefan Rahr Wagner; Christian Fischer Pedersen; Morten Mathiesen; Claus Nielsen. Eye on Patient Care: Continuous Health Monitoring: Design and Implementation of a Wireless Platform for Healthcare Applications. IEEE Microwave Magazine 2017, 18, 83 -94.
AMA StyleJorge Miranda, Mukhtiar Memon, Jorge Cabral, Blaise Ravelo, Stefan Rahr Wagner, Christian Fischer Pedersen, Morten Mathiesen, Claus Nielsen. Eye on Patient Care: Continuous Health Monitoring: Design and Implementation of a Wireless Platform for Healthcare Applications. IEEE Microwave Magazine. 2017; 18 (2):83-94.
Chicago/Turabian StyleJorge Miranda; Mukhtiar Memon; Jorge Cabral; Blaise Ravelo; Stefan Rahr Wagner; Christian Fischer Pedersen; Morten Mathiesen; Claus Nielsen. 2017. "Eye on Patient Care: Continuous Health Monitoring: Design and Implementation of a Wireless Platform for Healthcare Applications." IEEE Microwave Magazine 18, no. 2: 83-94.
Population aging and increasing pressure on health systems are two issues that demand solutions. Involving and empowering citizens as active managers of their health represents a desirable shift from the current culture mainly focused on treatment of disease, to one also focused on continuous health management and well-being. Current developments in technological areas such as the Internet of Things (IoT), lead to new technological solutions that can aid this shift in the healthcare sector. This study presents the design, development, implementation and evaluation of a platform called Common Recognition and Identification Platform (CRIP), a part of the CareStore project, which aims at supporting caregivers and citizens to manage health routines in a seamless way. Specifically, the CRIP offers sensor-based support for seamless identification of users and health devices. A set of initial requirements was defined with a focus on usability limitations and current sensor technologies. The CRIP was designed and implemented using several technologies that enable seamless integration and interaction of sensors and people, namely Near Field Communication and fingerprint biometrics for identification and authentication, Bluetooth for communication with health devices and web services for wider integration with other platforms. Two CRIP prototypes were implemented and evaluated in laboratory during a period of eight months. The evaluations consisted of identifying users and devices, as well as seamlessly configure and acquire vital data from the last. Also, the entire Carestore platform was deployed in a nursing home where its usability was evaluated with caregivers. The evaluations helped assess that seamless identification of users and seamless configuration and communication with health devices is feasible and can help enable the IoT on healthcare applications. Therefore, the CRIP and similar platforms could be transformed into a valuable enabling technology for secure and reliable IoT deployments on the healthcare sector.
Jorge Miranda; Jorge Cabral; Stefan Rahr Wagner; Christian Fischer Pedersen; Blaise Ravelo; Mukhtiar Memon; Morten Mathiesen. An Open Platform for Seamless Sensor Support in Healthcare for the Internet of Things. Sensors 2016, 16, 2089 .
AMA StyleJorge Miranda, Jorge Cabral, Stefan Rahr Wagner, Christian Fischer Pedersen, Blaise Ravelo, Mukhtiar Memon, Morten Mathiesen. An Open Platform for Seamless Sensor Support in Healthcare for the Internet of Things. Sensors. 2016; 16 (12):2089.
Chicago/Turabian StyleJorge Miranda; Jorge Cabral; Stefan Rahr Wagner; Christian Fischer Pedersen; Blaise Ravelo; Mukhtiar Memon; Morten Mathiesen. 2016. "An Open Platform for Seamless Sensor Support in Healthcare for the Internet of Things." Sensors 16, no. 12: 2089.
Background: Pedometers are considered desirable devices for monitoring physical activity. Two population groups of interest include patients having undergone surgery in the lower extremities or who are otherwise weakened through disease, medical treatment, or surgery procedures, as well as the slow walking senior population. For these population groups, pedometers must be able to perform reliably and accurately at slow walking speeds. The objectives of this study were to evaluate the step count accuracy of three commercially available pedometers, the Yamax (Tokyo, Japan) Digi-Walker® SW-200 (YM), the Omron (Kyoto, Japan) HJ-720 (OM), and the Fitbit (San Francisco, CA) Zip (FB), at slow walking speeds, specifically at 1, 2, and 3 km/h, and to raise awareness of the necessity of focusing research on step-counting devices and algorithms for slow walking populations. Materials and Methods: Fourteen participants 29.93 ±4.93 years of age were requested to walk on a treadmill at the three specified speeds, in four trials of 100 steps each. The devices were worn by the participants on the waist belt. The pedometer counts were recorded, and the error percentage was calculated. Results: The error rate of all three evaluated pedometers decreased with the increase of speed: at 1 km/h the error rates varied from 87.11% (YM) to 95.98% (FB), at 2 km/h the error rates varied from 17.27% (FB) to 46.46% (YM), and at 3 km/h the error rates varied from 22.46% (YM) to a slight overcount of 0.70% (FB). Conclusions: It was observed that all the evaluated devices have high error rates at 1 km/h and mixed error rates at 2 km/h, and at 3 km/h the error rates are the smallest of the three assessed speeds, with the OM and the FB having a slight overcount. These results show that research on pedometers' software and hardware should focus more on accurate step detection at slow walking speeds.
Femina H.A. Beevi; Jorge Miranda; Christian F. Pedersen; Stefan Wagner. An Evaluation of Commercial Pedometers for Monitoring Slow Walking Speed Populations. Telemedicine and e-Health 2016, 22, 441 -449.
AMA StyleFemina H.A. Beevi, Jorge Miranda, Christian F. Pedersen, Stefan Wagner. An Evaluation of Commercial Pedometers for Monitoring Slow Walking Speed Populations. Telemedicine and e-Health. 2016; 22 (5):441-449.
Chicago/Turabian StyleFemina H.A. Beevi; Jorge Miranda; Christian F. Pedersen; Stefan Wagner. 2016. "An Evaluation of Commercial Pedometers for Monitoring Slow Walking Speed Populations." Telemedicine and e-Health 22, no. 5: 441-449.
Temperature and head movement are relevant parameters when analyzing the farrowing behavior of sows. Obtaining these body parameters in a way that is nonintrusive to animals is a major challenge in the harsh farrowing pen environment. Due to the presence of large amounts of metal as well as the unpredictable behavior of animals, such environments are not ideal for wired communication platforms. Intrusive measuring equipment may cause animals to deviate from their normal behavioral patterns invalidating gathered sensor data. Using lightweight, highly mobile and wireless sensor equipment is thus essential for unobtrusive measurements. This article discusses the challenges involved in developing a lightweight and flexible wireless sensor network infrastructure platform used in the analysis of sow behavior during farrowing. The platform is based on the customizable wireless sensor platform Shimmer and the open source software frameworks TinyOS and SPINE. Embedded in hot melt adhesive, the Shimmer modules were used as ear tags providing biologists with head movement and temperature data throughout six months. Focus is on the technical aspects of developing a system faced with mutually exclusive and changing requirements in an iterative and progressive research project, drawing upon the experiences from several stages of live experiments with farrowing sows.
Martin Kjeldsen; Torben Gregersen; Stefan Rahr Wagner; Christian G. V. Bøgh; Carsten Nielsen. A system for monitoring real-time body parameters of sows using a lightweight and flexible wireless sensor platform. Journal of Agricultural Informatics 2016, 7, 1 .
AMA StyleMartin Kjeldsen, Torben Gregersen, Stefan Rahr Wagner, Christian G. V. Bøgh, Carsten Nielsen. A system for monitoring real-time body parameters of sows using a lightweight and flexible wireless sensor platform. Journal of Agricultural Informatics. 2016; 7 (1):1.
Chicago/Turabian StyleMartin Kjeldsen; Torben Gregersen; Stefan Rahr Wagner; Christian G. V. Bøgh; Carsten Nielsen. 2016. "A system for monitoring real-time body parameters of sows using a lightweight and flexible wireless sensor platform." Journal of Agricultural Informatics 7, no. 1: 1.
Blood pressure self-measurement has been used extensively as part of several clinical processes including in the home monitoring setting for mitigating white coat effect and gaining more detailed insights into the blood pressure variability of patients over time. Self-measurement of BP is also being used as part of telemonitoring and telemedicine processes, as well as in the waiting rooms and self-measurement rooms of general practice clinics, specialized hospital department’s outpatient clinics, and in other types of care facilitates and institutions. The aim of this review is to provide an overview of where, when, and how blood pressure self-measurement is being used, which official clinical guidelines and procedures are available for its implementation, as well as the opportunities and challenges that are related to its use.
Stefan Wagner. Blood Pressure Self-Measurement. Advances in Experimental Medicine and Biology 2016, 956, 97 -107.
AMA StyleStefan Wagner. Blood Pressure Self-Measurement. Advances in Experimental Medicine and Biology. 2016; 956 ():97-107.
Chicago/Turabian StyleStefan Wagner. 2016. "Blood Pressure Self-Measurement." Advances in Experimental Medicine and Biology 956, no. : 97-107.
Femina Hassan Aysha Beevi; Stefan Wagner; Christian Pedersen; Stefan Hallerstede. Data Quality Oriented Efficacy Evaluation Method for Ambient Assisted Living Technologies. Proceedings of the 10th EAI International Conference on Pervasive Computing Technologies for Healthcare 2016, 1 .
AMA StyleFemina Hassan Aysha Beevi, Stefan Wagner, Christian Pedersen, Stefan Hallerstede. Data Quality Oriented Efficacy Evaluation Method for Ambient Assisted Living Technologies. Proceedings of the 10th EAI International Conference on Pervasive Computing Technologies for Healthcare. 2016; ():1.
Chicago/Turabian StyleFemina Hassan Aysha Beevi; Stefan Wagner; Christian Pedersen; Stefan Hallerstede. 2016. "Data Quality Oriented Efficacy Evaluation Method for Ambient Assisted Living Technologies." Proceedings of the 10th EAI International Conference on Pervasive Computing Technologies for Healthcare , no. : 1.
Stefan Wagner. Towards Future Reliable Pervasive Healthcare with Adherence Strategy Engineering. Proceedings of the 10th EAI International Conference on Pervasive Computing Technologies for Healthcare 2016, 1 .
AMA StyleStefan Wagner. Towards Future Reliable Pervasive Healthcare with Adherence Strategy Engineering. Proceedings of the 10th EAI International Conference on Pervasive Computing Technologies for Healthcare. 2016; ():1.
Chicago/Turabian StyleStefan Wagner. 2016. "Towards Future Reliable Pervasive Healthcare with Adherence Strategy Engineering." Proceedings of the 10th EAI International Conference on Pervasive Computing Technologies for Healthcare , no. : 1.
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.
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 StyleJorge 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 StyleJorge 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.
An innovative e-healthcare platform named common recognition and identification platform (CRIP) was developed and tested as part of the CareStore project. CareStore and CRIP aims at delivering accurate and safe disease management by minimising human operator errors in hospitals and care facilities. To support this, the CRIP platform features fingerprint biometrics and near field communication (NFC) for user identification; and Bluetooth communication support for a range of telemedicine medical devices adhering to the IEEE 11073 standard. The aim of this study was to evaluate the electromagnetic compatibility (EMC) immunity of the CRIP platform in order to validate it for medical application use. The first prototype of CRIP was demonstrated to operate as expected by showing the user identification function feasibility, both via NFC and biometric, and by detection of Bluetooth devices via radio frequency (RF) scanning. The NFC module works in the 13.56 MHz band and the Bluetooth module work in the 2.4 GHz band, according to the IEEE 802.15.1 standard. The standard test qualification of the CRIP was performed based on the radiated EMC immunity with respect to the EN 61000-4-3 standard. The immunity tests were conducted under industrial EMC compliance with electric field aggression, with levels up to 10 V/m in both horizontal and vertical polarisations when the test antenna and the CRIP were placed at a distance of 3 m. It was found that the CRIP device complies with the European electromagnetic (EM) radiation immunity requirements.
Jorge Miranda; Jorge Cabral; Blaise Ravelo; Stefan Wagner; Christian Fischer Pedersen; Mukhtiar Memon; Morten Mathiesen. Radiated EMC immunity investigation of common recognition identification platform for medical applications. The European Physical Journal Applied Physics 2015, 69, 11002 .
AMA StyleJorge Miranda, Jorge Cabral, Blaise Ravelo, Stefan Wagner, Christian Fischer Pedersen, Mukhtiar Memon, Morten Mathiesen. Radiated EMC immunity investigation of common recognition identification platform for medical applications. The European Physical Journal Applied Physics. 2015; 69 (1):11002.
Chicago/Turabian StyleJorge Miranda; Jorge Cabral; Blaise Ravelo; Stefan Wagner; Christian Fischer Pedersen; Mukhtiar Memon; Morten Mathiesen. 2015. "Radiated EMC immunity investigation of common recognition identification platform for medical applications." The European Physical Journal Applied Physics 69, no. 1: 11002.
F.H. Aysha Beevi; S. Hallerstede; C.F. Pedersen; S. Wagner. Data quality oriented taxonomy of ambient assisted living systems. IET International Conference on Technologies for Active and Assisted Living (TechAAL) 2015, 1 .
AMA StyleF.H. Aysha Beevi, S. Hallerstede, C.F. Pedersen, S. Wagner. Data quality oriented taxonomy of ambient assisted living systems. IET International Conference on Technologies for Active and Assisted Living (TechAAL). 2015; ():1.
Chicago/Turabian StyleF.H. Aysha Beevi; S. Hallerstede; C.F. Pedersen; S. Wagner. 2015. "Data quality oriented taxonomy of ambient assisted living systems." IET International Conference on Technologies for Active and Assisted Living (TechAAL) , no. : 1.
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.
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 StyleMukhtiar 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 StyleMukhtiar 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.
Stefan Wagner; Rene Stenner; Mukhtiar Memon; Femina Beevi; Christian Pedersen. Common Ambient Assisted Living Home Platform for Seamless Care. Proceedings of the 8th International Conference on Pervasive Computing Technologies for Healthcare 2014, 1 .
AMA StyleStefan Wagner, Rene Stenner, Mukhtiar Memon, Femina Beevi, Christian Pedersen. Common Ambient Assisted Living Home Platform for Seamless Care. Proceedings of the 8th International Conference on Pervasive Computing Technologies for Healthcare. 2014; ():1.
Chicago/Turabian StyleStefan Wagner; Rene Stenner; Mukhtiar Memon; Femina Beevi; Christian Pedersen. 2014. "Common Ambient Assisted Living Home Platform for Seamless Care." Proceedings of the 8th International Conference on Pervasive Computing Technologies for Healthcare , no. : 1.
Summary Background: Patients often fail to adhere to clinical recommendations when using current blood pressure self-measurement (BPSM) methods and equipment. As existing BPSM equipment is not able to detect non-adherent behavior, this could result in mis-diagnosis and treatment error. To overcome this problem, we suggest introducing an alternative method for achieving reliable BPSM by measuring additional context meta-data for validating patient adherence. To facilitate this, we have developed ValidAid, a context-aware system for determining patient adherence levels during BPSM. Objectives: The aim of this study was to validate this new reliable BPSM method based on ValidAid in the clinical setting. Specifically, we wanted to evaluate ValidAid’s ability to accurately detect and model patient adherence levels during BPSM in the clinic. Methods: The validation was done by asking 41 pregnant diabetic patients scheduled for self-measuring their blood pressure (BP) in the waiting room at an obstetrics department’s outpatient clinic to perform an additional BPSM using ValidAid. We then compared the automatically measured and classified values from ValidAid with our manual observations. Results: We found that a) the pregnant diabetics did not adhere to given instructions when performing BPSM in the waiting room, and that b) the ValidAid system was able to accurately classify patient adherence to the modeled recommendations. Conclusions: A new method for ensuring reliable BPSM based on the ValidAid system was validated. Results indicate that context-aware technology is useful for accurately modeling important aspects of non-adherent patient behavior. This may be used to identify patients in need of additional training, or to design better aids to actively assist the patients during measurements. ValidAid is also applicable to other self-measurement environments including the home setting and outpatient clinics in remote or underserved areas as it is built using telemedicine technology and thus well-suited for remote monitoring and diagnosis.
C. H. Kamper; N. H. Rasmussen; P. Ahrendt; T. S. Toftegaard; O. W. Bertelsen; S. Wagner. Reliable Blood Pressure Self-measurement in the Obstetric Waiting Room. Methods of Information in Medicine 2014, 53, 225 -234.
AMA StyleC. H. Kamper, N. H. Rasmussen, P. Ahrendt, T. S. Toftegaard, O. W. Bertelsen, S. Wagner. Reliable Blood Pressure Self-measurement in the Obstetric Waiting Room. Methods of Information in Medicine. 2014; 53 (03):225-234.
Chicago/Turabian StyleC. H. Kamper; N. H. Rasmussen; P. Ahrendt; T. S. Toftegaard; O. W. Bertelsen; S. Wagner. 2014. "Reliable Blood Pressure Self-measurement in the Obstetric Waiting Room." Methods of Information in Medicine 53, no. 03: 225-234.
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.
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 StyleF. 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 StyleF. 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.
Stefan Wagner. Challenges in Applying Standard Telemedicine Solutions in the Home of Type 2 Diabetics. Proceedings of the 8th International Conference on Pervasive Computing Technologies for Healthcare 2014, 1 .
AMA StyleStefan Wagner. Challenges in Applying Standard Telemedicine Solutions in the Home of Type 2 Diabetics. Proceedings of the 8th International Conference on Pervasive Computing Technologies for Healthcare. 2014; ():1.
Chicago/Turabian StyleStefan Wagner. 2014. "Challenges in Applying Standard Telemedicine Solutions in the Home of Type 2 Diabetics." Proceedings of the 8th International Conference on Pervasive Computing Technologies for Healthcare , no. : 1.
Background:Patients with hypertension or receiving blood pressure (BP)-lowering treatment are often required to self-measure their BP in a dedicated self-measurement room before consultation. Current praxis does not guarantee valid measurements, possibly leading to misdiagnoses or inappropriate antihypertensive medication. The aim of this study was to investigate patients' ability to correctly self-report and follow recommendations.Patients and Methods:We used a context-aware system to gather information on BP measurements and relevant context parameters. Patients were not informed that the system automatically collected behavior data and were instructed to self-report their measurements on a paper sheet as usual. We then compared the automatically recorded data with the self-reported data in order to detect any nonadherent reporting behavior. Also, we investigated the patients' ability to adhere to the measurement recommendations.Results:We found that (1) a third of all 113 participating patients failed to self-report measured BP data correctly and (2) none of the 642 measurements obtained adhered fully to the recommendations.Conclusions:Results indicate that context-aware technology may be useful for accurately modeling aspects of nonadherent patient behavior. This may be used to inform staff of the validity of the measurement and pinpoint patients in need of additional training or to design better aids to assist the patients. The developed system is generally applicable to other self-measurement environments, including the home setting and remote outpatient clinics, as it is built using telemedicine technology and thus well suited for remote monitoring and diagnosis.
Stefan Wagner; Niels Henrik Buus; Bente Jespersen; Peter Ahrendt; Olav W. Bertelsen; Thomas S. Toftegaard. Measurement Adherence in the Blood Pressure Self-Measurement Room. Telemedicine and e-Health 2013, 19, 826 -833.
AMA StyleStefan Wagner, Niels Henrik Buus, Bente Jespersen, Peter Ahrendt, Olav W. Bertelsen, Thomas S. Toftegaard. Measurement Adherence in the Blood Pressure Self-Measurement Room. Telemedicine and e-Health. 2013; 19 (11):826-833.
Chicago/Turabian StyleStefan Wagner; Niels Henrik Buus; Bente Jespersen; Peter Ahrendt; Olav W. Bertelsen; Thomas S. Toftegaard. 2013. "Measurement Adherence in the Blood Pressure Self-Measurement Room." Telemedicine and e-Health 19, no. 11: 826-833.
Pregnant diabetic patients are often required to self-measure their blood pressure in the waiting room before consultation. Currently used blood pressure devices do not guarantee valid measurements when used unsupervised. This could lead to misdiagnosis and treatment error. The aim of this study was to investigate current use of blood pressure self-measurement in the waiting room in order to identify challenges that could influence the resulting data quality. Also, we wanted to investigate the potential for addressing these challenges with e-health and telemedicine technology.
Stefan Wagner; Christina H. Kamper; Thomas S. Toftegaard; Olav W. Bertelsen. Blood Pressure Self-Measurement in the Obstetric Waiting Room. Telemedicine and e-Health 2013, 19, 872 -874.
AMA StyleStefan Wagner, Christina H. Kamper, Thomas S. Toftegaard, Olav W. Bertelsen. Blood Pressure Self-Measurement in the Obstetric Waiting Room. Telemedicine and e-Health. 2013; 19 (11):872-874.
Chicago/Turabian StyleStefan Wagner; Christina H. Kamper; Thomas S. Toftegaard; Olav W. Bertelsen. 2013. "Blood Pressure Self-Measurement in the Obstetric Waiting Room." Telemedicine and e-Health 19, no. 11: 872-874.
SummaryBackground: Patients performing self-care in the unsupervised setting do not always adhere to the instructions they were initially provided with. As a consequence, a patient’s ability to successfully comply with the treatment plan cannot be verified by the treating healthcare professional, possibly resulting in reduced data quality and suboptimal treatment.Objectives: The aim of this paper is to introduce the Adherence Strategy Engineering Framework (ASEF) as a method for developing novel technology-based adherence strategies to assess and improve patient adherence levels in the unsupervised setting.Methods: Key concepts related to self-care and adherence were defined, discussed, and implemented as part of the ASEF framework.ASEF was applied to seven self-care case studies, and the perceived usefulness and feasibility of ASEF was evaluated in a questionnaire study by the case study participants. Finally, we reviewed the individual case studies usage of ASEF.Results: A range of central self-care concepts were defined and the ASEF methodological framework was introduced. ASEF was successfully used in seven case studies with a total of 25 participants. Of these, 16 provided answers in the questionnaire study reporting ASEF as useful and feasible. Case study reviews illustrated the potential of using context-aware technologies to support self-care in the unsupervised setting as well as ASEF’s ability to support this.Conclusion: Challenges associated with moving healthcare to the unsupervised setting can be overcome by applying novel context-aware technology using the ASEF method. This could lead to better treatment outcomes and reduce healthcare expenditures.
T. S. Toftegaard; O. W. Bertelsen; Stefan Wagner. Introducing the Adherence Strategy Engineering Framework (ASEF). Methods of Information in Medicine 2013, 52, 220 -230.
AMA StyleT. S. Toftegaard, O. W. Bertelsen, Stefan Wagner. Introducing the Adherence Strategy Engineering Framework (ASEF). Methods of Information in Medicine. 2013; 52 (3):220-230.
Chicago/Turabian StyleT. S. Toftegaard; O. W. Bertelsen; Stefan Wagner. 2013. "Introducing the Adherence Strategy Engineering Framework (ASEF)." Methods of Information in Medicine 52, no. 3: 220-230.
Blood pressure self-measurement (BPSM) requires patients to follow a range of recommendations in order to be considered reliable for diagnostic use. We investigated currently used BPSM interventions at four medical clinics combined with an online questionnaire targeting BPSM users. We found that the participating healthcare personnel perceived BPSM as a relevant and useful intervention method providing that the recommendations are followed. A total of six challenges were identified: (1) existing devices do not guarantee that the recommendations are followed, (2) healthcare providers cannot verify whether self-monitoring patients follow the recommendations, (3) patients are not aware of all recommendations and the need to follow them, (4) risk of patient induced reporting bias, (5) risk of healthcare provider induced data-transfer bias, and (6) risk of data being registered as belonging to the wrong patient. We conclude that existing BPSM interventions could be significantly affected by user-induced bias resulting in an indeterminable quality of the measurement data. Therefore, we suggest applying context-aware technological support tools to better detect and quantify user errors. This may allow us to develop solutions that could overcome or compensate for such errors in the future.
Stefan Wagner; Thomas Skjødeberg Toftegaard; Olav W. Bertelsen. Challenges in Blood Pressure Self-Measurement. International Journal of Telemedicine and Applications 2012, 2012, 1 -8.
AMA StyleStefan Wagner, Thomas Skjødeberg Toftegaard, Olav W. Bertelsen. Challenges in Blood Pressure Self-Measurement. International Journal of Telemedicine and Applications. 2012; 2012 ():1-8.
Chicago/Turabian StyleStefan Wagner; Thomas Skjødeberg Toftegaard; Olav W. Bertelsen. 2012. "Challenges in Blood Pressure Self-Measurement." International Journal of Telemedicine and Applications 2012, no. : 1-8.
Stefan Wagner; Niels Rasmussen; Peter Ahrendt; Thomas Toftegaard; Olav Bertelsen. Context Classification during Blood Pressure Self-Measurement using the Sensor Seat and the Audio Classification Device. Proceedings of the 6th International Conference on Pervasive Computing Technologies for Healthcare 2012, 1 .
AMA StyleStefan Wagner, Niels Rasmussen, Peter Ahrendt, Thomas Toftegaard, Olav Bertelsen. Context Classification during Blood Pressure Self-Measurement using the Sensor Seat and the Audio Classification Device. Proceedings of the 6th International Conference on Pervasive Computing Technologies for Healthcare. 2012; ():1.
Chicago/Turabian StyleStefan Wagner; Niels Rasmussen; Peter Ahrendt; Thomas Toftegaard; Olav Bertelsen. 2012. "Context Classification during Blood Pressure Self-Measurement using the Sensor Seat and the Audio Classification Device." Proceedings of the 6th International Conference on Pervasive Computing Technologies for Healthcare , no. : 1.