Implementation of the personal healthcare services on automotive environments

Han, Kabsu; Jung, Minwoo; Cho, Jeonghun

doi:10.1007/s00779-013-0672-0

Cited by 12 publications

(4 citation statements)

References 10 publications

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“…Analog-to-digital conversion for the H-ROIC is provided by the E-ROIC, which includes a dual-mode data converter. After converting sensor signals to digital data, the multi-sensor interface sends the data directly to a smartphone through a wireless connectivity module utilizing the Bluetooth which is the standard for healthcare services [9]. Fig.…”

Section: Multi-sensor System Architecturementioning

confidence: 99%

“…The industrial manufacturing environment is also embedding new functions in the form of safety monitoring or smart factories [5] [8]. One recent trend of interest is the combination of heterogeneous systems and services from different fields such as by providing automated healthcare services in automotive environments [9], [10]. Platform migration from bulky computers to smartphones is another important trend that has been accelerated by the proliferation of high-end mobile processors, but this is still limited in healthcare applications [11], [12].…”

Section: Introductionmentioning

confidence: 99%

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A Multisensor Mobile Interface for Industrial Environment and Healthcare Monitoring

Choi

Kim²,

Choi³

et al. 2017

IEEE Trans. Ind. Electron.

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This work presents a reconfigurable multi-sensor mobile interface architecture that is applicable to heterogeneous sensor applications and also easy to generate new types of combined services. The multi-sensor interface attributes compactness and flexibility to reconfigurable readout integrated circuits (ROICs) and migration of signal processing and computation burdens from a sensor tag to a smartphone. Two reconfigurable ROICs which were designed and fabricated in a 0.18-m CMOS process generate raw digital data from environmental and healthcare sensors. Their detected raw data are wirelessly sent to the smartphone where real-time calibration and post-processing are performed optimally for each sensor. In an application to industrial systems, an in-vehicle system prototype supporting combined monitoring services of air-quality and healthcare was integrated into a steering wheel cover and experimentally verified to provide real-time measurement of three environmental sensor signals and two healthcare physiological signals with the results displayed on a smartphone. Index Terms-Multi-sensorinterface, reconfigurable readout circuits, in-vehicle monitoring, healthcare, air quality, mobile system, heterogeneous systems. in 2011, respectively. Since then, he has been with uMEDIX Inc., Seoul, Korea, where he is currently the Senior Research Engineer of Technology and R&D. Yun Young Choi received the M.E. degree in electrical engineering from the Chonnam University, Chonnam, Korea, in 2002, respectively. In 2000, he joined Hynix Inc., where he was involved in developing the Bluetooth Transceivers for GSM cellular phone applications. In 2006, he joined Samsung Electronics, where he developed the world-first LTE/WCDMA+GSM Transceivers for LTE phone applications. Since 2010, he has been with uMEDIX Inc., Seoul, Korea, where he is currently the Chief Technology Office of Technology and R&D, participating in developing biomedical devices and systems including bio-potential readout integrated circuits.

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Section: Multi-sensor System Architecturementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Multisensor Mobile Interface for Industrial Environment and Healthcare Monitoring

Choi

Kim²,

Choi³

et al. 2017

IEEE Trans. Ind. Electron.

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“…This means, a remote monitoring system is created by wireless sensors connected via an internet connection [5]. Once the system is implemented, family members and nursing staff or doctors are able to monitor the health condition of the user (patient) through the internet connection on their smart phones or computers [17]. Another point is that this system is able to react in case of emergency situations or the detection of falls, creating an immediate emergency notification to the family and staff members via adequate applications [18].…”

Section: Process Of Implementing Smart Home Frameworkmentioning

confidence: 99%

Impact of Wireless Communications Technologies on Elder People Healthcare: Smart Home in Australia

Mageroski

Alsadon

Withana

et al. 2017

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Abstract. Over the last three decades, there has been a dramatic rise in ageing populations in most countries. Older people are remaining in nursing home care due to the fact that general services and medical support are provided. However, these environments often negatively affect older people due to high cost, limited staff and the social impacts they have. A way to overcome these challenges is to place the elderly instead of the Nursing Homes in a Smart Home environment. In other words, by implementing such technology, older people are able to remain at home, instead of going to nursing homes and pay the extremely high cost.The aim of this study is to describe the impact of wireless communications technologies on both nursing home and smart home. Using smart wireless sensors, wireless communication and ambient intelligent systems, it is possible to create systems capable of measuring vital signs of the patient at home. This is based on exchanging signals (information) between the sensor and the data server from already deployed sensors (infrared or camera) or wearable smart sensors, allowing older people to stay at home.

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“…This is better than point-to-point connection but there are some limitation to provide flexibility and scalability. Sensors and actuators do not have their own network interface, so they have to be a part of some kind of ECUs [4,5].…”

Section: Figure 2 Vehicular E/e Architecturementioning

confidence: 99%

Cloud computing for u-health and automotive environment

Jung

Han

Cho

2013

2013 Fifth International Conference on Ubiquitous and Future Networks (ICUFN)

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Recently ubiquitous health which can monitor individual health condition always and everywhere is being researched. The elderly and the chronic disease can have their own personal healthcare devices and they can monitor themselves easily. But some kind of limitation is still remaining in their life even if they have powerful smart devices. They need to go to get treatment and to prepare medicine but automotive system does not support interfaces for personal healthcare devices. We consider performance of Bluetooth in order to build efficient network that consist of compliant IEEE 11073 medical devices in automotive environment. Also, to manage efficient automotive, interconnection between IVN and smart device is considered.

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Implementation of the personal healthcare services on automotive environments

Cited by 12 publications

References 10 publications

A Multisensor Mobile Interface for Industrial Environment and Healthcare Monitoring

A Multisensor Mobile Interface for Industrial Environment and Healthcare Monitoring

Impact of Wireless Communications Technologies on Elder People Healthcare: Smart Home in Australia

Cloud computing for u-health and automotive environment

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