Personal Health (pHealth) sensor networks are generally used to monitor the wellbeing of both athletes and the general public to inform health specialists of future and often serious ailments. The problem facing these domain experts is the scale and quality of data they must search in order to extract meaningful results. By using peer-to-peer sensor architectures and a mechanism for reducing the search space, we can, to some extent, address the scalability issue. However, synchronisation and normalisation of distributed sensor streams remains a problem in many networks. In the case of pHealth sensor networks, it is crucial for experts to align multiple sensor readings before query or data mining activities can take place. This paper presents a system for clustering and synchronising sensor streams in preparation for user queries.
BackgroundNew sensing technologies and the decreasing cost of Information and Communication Technologies (ICTs) make possible the development of electronic Health (eHealth) monitoring systems. The challenges of such systems include the representation of data extracted from various sensor devices by knowledge workers through semantic enrichment and integration. Also, the data must be stored in a format suitable for querying and further analysis. This paper describes the demonstration of the HealthSense system which captures and queries personal health data extracted from wearable sensors. Figure 1 illustrates the transformation process. There are 4 layers, representing data in different formats, separated by the 3 processors that transform them. A detailed description of the 3 processors was presented in [1]. The HealthSense DemonstrationThe demonstration includes:-the wearing of sensor devices and recording of data, -the extraction of sensor data to a laptop, -the use of HealthSense to enrich, integrate, and store sensor data, and -the querying of the stored data from an XML database using XPath. The Sensor Devices -Polar S625XTM heart-rate monitor: this consists of a fabric band which fits around a person's chest and detects and logs their heart rate. -BodyMedia SenseWear R : this sensor array is worn around the upper arm and measures. It uses motion sensors and galvanic skin response sensors to measure activity. -Deluxe Wrist Blood Pressure Monitor HL168JC: this device can store up to 90 blood pressure and pulse readings. -iPod Nano 4G with Nike R + IPod Sport kit: this sensor records the distance covered during a walk or run and caloric consumption.
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