Wearable devices for telemedicine applications

Scheffler, Michael; Hirt, Etienne

doi:10.1258/1357633054461994

Cited by 29 publications

(18 citation statements)

References 1 publication

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“…For physiological data or vital signs, respectively, systems range from measuring a single physiological parameter, i.e. ECG [ 24 , 50 , 60 ], lung function (asthma) [ 48 , 49 ], haemodynamic trends [ 59 ], blood glucose (diabetes) [ 22 , 57 ], heart rhythm [ 58 ], blood pressure [ 47 ], or weight [ 26 ], to simultaneously gathering multiple physiological data [ 28 - 31 , 42 , 45 , 46 , 51 , 52 , 61 - 64 ].…”

Section: Resultsmentioning

confidence: 99%

Towards pervasive computing in health care – A literature review

Orwat

Graefe

Faulwasser

2008

BMC Med Inform Decis Mak

192

124

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Background: The evolving concepts of pervasive computing, ubiquitous computing and ambient intelligence are increasingly influencing health care and medicine. Summarizing published research, this literature review provides an overview of recent developments and implementations of pervasive computing systems in health care. It also highlights some of the experiences reported in deployment processes. Methods:There is no clear definition of pervasive computing in the current literature. Thus specific inclusion criteria for selecting articles about relevant systems were developed. Searches were conducted in four scientific databases alongside manual journal searches for the period of 2002 to 2006. Articles included present prototypes, case studies and pilot studies, clinical trials and systems that are already in routine use. Results:The searches identified 69 articles describing 67 different systems. In a quantitative analysis, these systems were categorized into project status, health care settings, user groups, improvement aims, and systems features (i.e., component types, data gathering, data transmission, systems functions). The focus is on the types of systems implemented, their frequency of occurrence and their characteristics. Qualitative analyses were performed of deployment issues, such as organizational and personnel issues, privacy and security issues, and financial issues. This paper provides a comprehensive access to the literature of the emerging field by addressing specific topics of application settings, systems features, and deployment experiences. Conclusion:Both an overview and an analysis of the literature on a broad and heterogeneous range of systems are provided. Most systems are described in their prototype stages. Deployment issues, such as implications on organization or personnel, privacy concerns, or financial issues are mentioned rarely, though their solution is regarded as decisive in transferring promising systems to a stage of regular operation. There is a need for further research on the deployment of pervasive computing systems, including clinical studies, economic and social analyses, user studies, etc.

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Section: Resultsmentioning

confidence: 99%

Towards pervasive computing in health care – A literature review

Orwat

Graefe

Faulwasser

2008

BMC Med Inform Decis Mak

192

124

View full text Add to dashboard Cite

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“…10,20,23 Patients should be comfortable wearing new kinds of (mobile) monitoring and treatment devices which do not hinder them in their daily life. 24,25 Supporting staff and doctors should be able to operate the devices and should have flexible access to services offered by the telemedicine system. [26][27][28][29] Currently the information and the modality used are not tailored to the situation and skills of the patient and medical personnel.…”

Section: Usabilitymentioning

confidence: 99%

Determinants of successful telemedicine implementations: a literature study

et al. 2007

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Telemedicine implementations often remain in the pilot phase and do not succeed in scaling-up to robust products that are used in daily practice. We conducted a qualitative literature review of 45 conference papers describing telemedicine interventions in order to identify determinants that had influenced their implementation. The identified determinants, which would influence the future implementation of telemedicine interventions, can be classified into five major categories: (1) Technology, (2) Acceptance, (3) Financing, (4) Organization and (5) Policy and Legislation. Each category contains determinants that are relevant to different stakeholders in different domains. We propose a layered implementation model in which the primary focus on individual determinants changes throughout the development life cycle of the telemedicine implementation. For success, a visionary approach is required from the multidisciplinary stakeholders, which goes beyond tackling specific issues in a particular development phase. Thus the right philosophy is: 'start small, think big'.

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“…The Advanced Medical Monitor (AMON) system is a wristwatch model with a multi-variable sensor device [30]. AMON contains an accelerometer that continuously measures physical activity and comprises other sensors in order to monitor BP, blood oxygen saturation, body temperature, and can take an ECG [31-33].…”

Section: Introductionmentioning

confidence: 99%

Smart wearable body sensors for patient self-assessment and monitoring

et al. 2014

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BackgroundInnovations in mobile and electronic healthcare are revolutionizing the involvement of both doctors and patients in the modern healthcare system by extending the capabilities of physiological monitoring devices. Despite significant progress within the monitoring device industry, the widespread integration of this technology into medical practice remains limited. The purpose of this review is to summarize the developments and clinical utility of smart wearable body sensors.MethodsWe reviewed the literature for connected device, sensor, trackers, telemonitoring, wireless technology and real time home tracking devices and their application for clinicians.ResultsSmart wearable sensors are effective and reliable for preventative methods in many different facets of medicine such as, cardiopulmonary, vascular, endocrine, neurological function and rehabilitation medicine. These sensors have also been shown to be accurate and useful for perioperative monitoring and rehabilitation medicine.ConclusionAlthough these devices have been shown to be accurate and have clinical utility, they continue to be underutilized in the healthcare industry. Incorporating smart wearable sensors into routine care of patients could augment physician-patient relationships, increase the autonomy and involvement of patients in regards to their healthcare and will provide for novel remote monitoring techniques which will revolutionize healthcare management and spending.

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Wearable devices for telemedicine applications

Cited by 29 publications

References 1 publication

Towards pervasive computing in health care – A literature review

Towards pervasive computing in health care – A literature review

Determinants of successful telemedicine implementations: a literature study

Smart wearable body sensors for patient self-assessment and monitoring

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