The smartphone as a medical device: Assessing enablers, benefits and challenges

Agu, Emmanuel; Pedersen, Peder J.; Strong, Diane M.; He, Qian; Wang, Lei; Li, Yejin

doi:10.1109/iot-nc.2013.6694053

Cited by 73 publications

(55 citation statements)

References 18 publications

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“…The application of the IoT to ECG monitoring has the potential to give maximum information and can be used to its fullest extent [69]. A number of studies [20], [31], [33], [35], [40], [56], [70] have explicitly discussed IoT-based ECG monitoring. The innovation in [71] introduces an IoT-based ECG monitoring system composed of a portable wireless acquisition transmitter and a wireless receiving processor.…”

Section: ) Electrocardiogram Monitoringmentioning

confidence: 99%

“…A number of image analysis algorithms for smartphones that facilitate noncontact measurements useful for healthcare applications are introduced in [102]. A good (but not complete) survey of smartphone apps providing healthcare solutions is presented [70]. Smartphones can effectively perform the following healthcare diagnosis and/or monitoring: the detection of asthma, chronic obstructive pulmonary disease, cystic fibrosis, coughing, allergic rhinitis, nose-related symptoms of the respiratory tract, the heart rate, BP, blood oxygen saturation, and melanoma and the analysis of wounds in advanced diabetes patients [81]- [83], [103]- [107].…”

Section: ) Healthcare Solutions Using Smartphonesmentioning

confidence: 99%

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The Internet of Things for Health Care: A Comprehensive Survey

et al. 2015

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The Internet of Things (IoT) makes smart objects the ultimate building blocks in the development of cyber-physical smart pervasive frameworks. The IoT has a variety of application domains, including health care. The IoT revolution is redesigning modern health care with promising technological, economic, and social prospects. This paper surveys advances in IoT-based health care technologies and reviews the state-of-the-art network architectures/platforms, applications, and industrial trends in IoT-based health care solutions. In addition, this paper analyzes distinct IoT security and privacy features, including security requirements, threat models, and attack taxonomies from the health care perspective. Further, this paper proposes an intelligent collaborative security model to minimize security risk; discusses how different innovations such as big data, ambient intelligence, and wearables can be leveraged in a health care context; addresses various IoT and eHealth policies and regulations across the world to determine how they can facilitate economies and societies in terms of sustainable development; and provides some avenues for future research on IoT-based health care based on a set of open issues and challenges.

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Section: ) Electrocardiogram Monitoringmentioning

confidence: 99%

Section: ) Healthcare Solutions Using Smartphonesmentioning

confidence: 99%

The Internet of Things for Health Care: A Comprehensive Survey

et al. 2015

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“…This introduces resiliency issues to the sensory system where the entire sensor network can fail requiring prompt intervention. As the collected data from the sensory system is expected to be correlated with any other indicator of cardiac status, offthe-shelf heart monitoring systems [35], [36] can be integrated into the proposed sensory system, and detect anomalies in the biosensor signals through correlation analysis.…”

Section: B Data Aggregationmentioning

confidence: 99%

Visualization of Health Monitoring Data Acquired from Distributed Sensors for Multiple Patients

Page¹,

Soyata²,

Couderc³

et al. 2014

2015 IEEE Global Communications Conference (GLOBECOM)

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As global healthcare systems transition into the digital era, remote patient health monitoring will be widespread through the use of inexpensive monitoring devices, such as ECG patches, glucose monitors, etc. Once a sensor-concentratorcloudlet-cloud infrastructure is in place, it is not unrealistic to imagine a scenario where a physician monitors 20-30 patients remotely. Such an infrastructure will revolutionize clinical diagnostics and preventative medicine by allowing the doctors to access long-term and real-time information, which cannot be obtained from short-term in-hospital ECG recordings.While the large amount of sensor data available to a physician is incredibly valuable clinically, it is overwhelming in raw form. In this paper, the data handling aspect of such a long term health monitoring system is studied. Novel ways to record, aggregate, and visualize this flood of sensory data in an intuitive manner are introduced which allow a doctor to review days worth of data in a matter of seconds. This system is one of the first attempts to provide a tool that allows the visualization of longterm monitoring data acquired from multiple sensors.

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“…With the rapid development of smartphone, many novel features are available now, and many new healthcare technologies have been introduced. A more recent review by Agu et al focused on the usage of smartphone in medical condition diagnostics that takes advantage of the smartphone's built-in camera or microphone [30]. Another recent review by Ozcan et al focused on the uses of smartphone for imaging/microscopy and optoelectronic/electronic sensing, such as smartphonebased microscopy that can detect single virus, as well as smartphone-based cytometry [31].…”

Section: Introductionmentioning

confidence: 99%

Advances in Smartphone-Based Point-of-Care Diagnostics

Akay²,

Wei³

et al. 2015

Proc. IEEE

190

111

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| Point-of-care (POC) diagnostics is playing an increasingly important role in public health, environmental monitoring, and food safety analysis. Smartphones, alone or in conjunction with add-on devices, have shown great capability of data collection, analysis, display, and transmission, making them popular in POC diagnostics. In this article, the state-ofthe-art advances in smartphone-based POC diagnostic technologies and their applications in the past few years are outlined, ranging from in vivo tests that use smartphone's built-in/external sensors to detect biological signals to in vitro tests that involves complicated biochemical reactions. Novel techniques are illustrated by a number of attractive examples, followed by a brief discussion of the smartphone's role in telemedicine. The challenges and perspectives of smartphonebased POC diagnostics are also provided.

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The smartphone as a medical device: Assessing enablers, benefits and challenges

Cited by 73 publications

References 18 publications

The Internet of Things for Health Care: A Comprehensive Survey

The Internet of Things for Health Care: A Comprehensive Survey

Visualization of Health Monitoring Data Acquired from Distributed Sensors for Multiple Patients

Advances in Smartphone-Based Point-of-Care Diagnostics

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