Health Care Applications Based on Mobile Phone Centric Smart Sensor Network

Quero, J.M.; Tarrida, C. L.; Santana, J.J.; Ermolov, Vladimir; Jantunen, Iiro; Laine, Hannu; Eichholz, J.

doi:10.1109/iembs.2007.4353795

Cited by 16 publications

(6 citation statements)

References 4 publications

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“…A sampling rate of 100 Hz is possible. Data are sent to medical database held in the medical center or to the call center where the doctor can supervise the ECG and communicate with the patient if it is needed [78][79][80].…”

Section: Cellphone Detectionmentioning

confidence: 99%

Biomedical sensor technologies on the platform of mobile phones

Liu

2011

Front. Mech. Eng.

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Section: Cellphone Detectionmentioning

confidence: 99%

Biomedical sensor technologies on the platform of mobile phones

Liu

2011

Front. Mech. Eng.

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“…ECG or lactate concentration, and sending the values over BT LEE has been demonstrated in Refs. [6] and [10]. 0x3B-0x3D…”

Section: Architecture Implementationmentioning

confidence: 99%

Mobile-phone-readable 2.45GHz passive digital sensor tag

Tetu¹,

Jantunen²,

Gomez

et al. 2009

2009 IEEE International Conference on RFID

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A 2.45GHz passive RFID tag including a digital pressure sensor and its use in a mobile-phone-centric architecture for sensor networks are described. The combination of a low-cost remote-powered sensor tag and an open architecture makes possible a variety of ambient intelligence applications. The tag gathers power from the ISM band at 2.45GHz and wireless pressure measurement is demonstrated at a distance of 42 cm with 0.5 W EIRP transmission power and 110 cm with 4 W. The sensor is able to carry out pressure measurement with a 12-bitresolution and a 100Hz reading frequency.

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“…Because of the quick development of the smart phone and sensors in recent years there are many kinds of sensors available for the smart phones right now, such as temperature, position and magnetic field sensors and accelerometers [12]- [13]. With these sensors we analyze the signals generated by the movements of a human body.…”

Section: Introductionmentioning

confidence: 99%

Design and implementation of a fall monitor system by using a 3-axis accelerometer in a smart phone

Bai

Tsai

2012

2012 IEEE 16th International Symposium on Consumer Electronics

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In this paper we use the accelerometer of a smart phone to design and implement a fall monitor with mobility detection function for the user. We not only analyze the change of acceleration but also analyze the four typical actions of humans. These are going upstairs, going downstairs, standing up, sitting down, running and jumping. Then we compare the four actions with the characteristics of a fall. These are weightlessness, impact, immobility and overturning of the body. Because the waist is the center of gravity in the human body, our system is used more effectively when we place the smart phone at the waist. Our system is based on an open source system platform and the accelerometer in the smart phone.

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Health Care Applications Based on Mobile Phone Centric Smart Sensor Network

Cited by 16 publications

References 4 publications

Biomedical sensor technologies on the platform of mobile phones

Biomedical sensor technologies on the platform of mobile phones

Mobile-phone-readable 2.45GHz passive digital sensor tag

Design and implementation of a fall monitor system by using a 3-axis accelerometer in a smart phone

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