Enabling telecare assessment with pervasive sensing and Android OS smartphone

Postolache, Octavian; Girão, Pedro Silva; Ribeiro, Marco; Guerra, Marco; Pincho, Joao; Santiago, Fernando; Peña, Antonio

doi:10.1109/memea.2011.5966761

Cited by 43 publications

(23 citation statements)

References 9 publications

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“…Consequently, in addition to the previous building blocks, these mHealth platforms comprise a monitoring system that mainly involves a remote database where the collected physiological data are periodically sent and stored, allowing doctors, family and friends (with different functionality privileges) to view and manage the current and the past conditions of the patient or to configure the BSN sensors remotely, using a conventional web browser. The purposes of these mobile applications are generally related to the monitoring of health parameters [31], [38], [40][41][42][43][44][45][46][47][48][49]; the supervision of rehabilitation interventions [12], [50], [51]; detection of falls [39], [52]; or medication adherence [53]. Many of these systems can also combine a component to manage detected emergency situations (assisted healthcare).…”

Section: (Continued)mentioning

confidence: 99%

mHealth Technologies for Chronic Diseases and Elders: A Systematic Review

Chiarini

Ray

Akter

et al. 2013

IEEE J. Select. Areas Commun.

144

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mHealth (healthcare using mobile wireless technologies) has the potential to improve healthcare and the quality of life for elderly and chronic patients. Many studies from all over the world have addressed this issue in view of the aging population in many countries. However, there has been a lack of any consolidated evidence-based study to classify mHealth from the dual perspectives of healthcare and technology. This paper reports the results of an evidence-based study of mHealth solutions for chronic care amongst the elderly population and proposes a taxonomy of a broad range of mHealth solutions from the perspective of technological complexity. A systematic literature review was conducted over 10 online databases and the findings were classified into four categories of predominant mHealth solutions, that is, self-healthcare, assisted healthcare, supervised healthcare and continuous monitoring. The findings of the study have major implications for information management and policy development in the context of the Millennium Development Goals (MDGs) related to healthcare in the world.

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Section: (Continued)mentioning

confidence: 99%

mHealth Technologies for Chronic Diseases and Elders: A Systematic Review

Chiarini

Ray

Akter

et al. 2013

IEEE J. Select. Areas Commun.

144

View full text Add to dashboard Cite

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“…Moreover most existing systems merely display the raw data acquired by one or more wearable sensors [8], whereas others use sensors in the smartphone to show the raw data [9]. …”

Section: Introductionmentioning

confidence: 99%

An Android-Based Heart Monitoring System for the Elderly and for Patients with Heart Disease

Pierleoni

Pernini

Belli

et al. 2014

International Journal of Telemedicine and Applications

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The current trend in health monitoring systems is to move from the hospital to portable personal devices. This work shows how consumer devices like heart rate monitors can be used not only for applications in sports, but also for medical research and diagnostic purposes. The goal pursued by our group was to develop a simple, accurate, and inexpensive system that would use a few pieces of data acquired by the heart rate monitor and process them on a smartphone to (i) provide detailed test reports about the user's health state; (ii) store report records; (iii) generate emergency calls or SMSs; and (iv) connect to a remote telemedicine portal to relay the data to an online database. The system developed by our team uses sophisticated algorithms to detect stress states, detect and classify arrhythmia events, and calculate energy consumption. It is suitable for use by elderly subjects and by patients with heart disease (e.g., those recovering from myocardial infarction) or neurological conditions such as Parkinson's disease. Easy, immediate, and economical remote health control can therefore be achieved without the need for expensive hospital equipment, using only portable consumer devices.

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“…Postolache et al [15] have developed a mobile telecare system based on a wrist-worn device, an Android smartphone, and a Web-based health information system. At a high level, their system is similar to the WellPhone, except for the wrist-worn device.…”

Section: Digital Health Information Infrastructurementioning

confidence: 99%

Personal Health Monitoring Using a Smartphone

Moser

Melliar-Smith

2015

2015 IEEE International Conference on Mobile Services

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In this paper, we describe the WellPhone, a smartphone with additional software, that is used as a personal health monitoring device. The WellPhone interfaces various health monitoring devices to the smartphone, and collects physiological data from those devices. It employs novel algorithms that perform statistical analyses, relate sequences of disparate measurements from different devices, and correlate physical activity with physiological measurements. The WellPhone provides feedback to the user by means of visualization and speech interaction, and alerts a caregiver, medical professional, or emergency responder, as needed.

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Enabling telecare assessment with pervasive sensing and Android OS smartphone

Cited by 43 publications

References 9 publications

mHealth Technologies for Chronic Diseases and Elders: A Systematic Review

mHealth Technologies for Chronic Diseases and Elders: A Systematic Review

An Android-Based Heart Monitoring System for the Elderly and for Patients with Heart Disease

Personal Health Monitoring Using a Smartphone

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