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An Application for Pairing with Wearable Devices to Monitor Personal Health Status

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A sensor network to iPhone interface separating continuous and sporadic processes in mobile telemedicine.

Lorenzo T D'Angelo¹, Michael Schneider, Paul Neugebauer

¹Institute of Micro Technology and Medical Device Technology, Technische Universitaet Muenchen, Boltzmannstr 15, D-85748 Garching Germany. lorenzo.dangelo@tum.de

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

|January 19, 2012

Summary

This study introduces a novel system for connecting sensor network nodes (motes) to smartphones. It enables continuous data reception by motes, with smartphones used for on-demand visualization and transmission, conserving battery life.

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Area of Science:

Computer Science
Electrical Engineering
Biomedical Engineering

Background:

Telemedicine applications increasingly utilize smartphones for data handling.
Continuous smartphone operation for data reception/transmission is often impractical and drains battery.
Existing systems may not efficiently manage sensor data acquisition and smartphone integration.

Purpose of the Study:

To present a new concept for interfacing sensor network nodes (motes) with smartphones.
To develop a system enabling continuous data reception and storage on motes.
To allow on-demand data visualization and transmission using smartphones as user interfaces.

Main Methods:

A novel system architecture was designed to decouple data reception/storage from smartphone interaction.
Sensor network nodes (motes) were configured for continuous data acquisition and local storage.
An interface was developed for smartphones to access and process stored data as needed.
The system was realized and demonstrated using an Apple iPhone.

Main Results:

The developed system successfully enables continuous data reception and storage on sensor motes.
Smartphones are utilized solely as user interfaces, minimizing continuous battery drain.
The system architecture ensures energy efficiency by offloading continuous tasks to the mote.
The concept was successfully implemented and tested with an iPhone.

Conclusions:

The presented system offers an energy-efficient and practical solution for integrating sensor networks with smartphones.
This approach overcomes limitations of continuous smartphone application usage in telemedicine and data acquisition.
The separation of data reception/storage from the user interface enhances system reliability and smartphone battery longevity.