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D2.1 Requirements and Specification - CORBYS

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<strong>D2.1</strong> <strong>Requirements</strong> <strong>and</strong> <strong>Specification</strong><br />

10.2.4 Environmental sensing<br />

Beyond the human-robot interface, the <strong>CORBYS</strong> gait rehabilitation system will not need extensive system<br />

environment sensing. The main needs are related to the need for collision avoidance <strong>and</strong> for ensuring a safety<br />

zone for the system users. This would most likely be accomplished by using a simple optical (laser beam) or<br />

mechanical switching systems to prevent the system from having collisions or from falling down a stair.<br />

10.2.5 Physiological multi sensor devices<br />

Several combined sensor systems measuring multiple parameters exist. Also validated chest belts sending<br />

heart rate data via a documented Bluetooth protocol are commercially available e.g. Hidalgo Equivital<br />

system 14 , as shown in Figure 24. This systems measures heart rate, respiratory rate, chest skin temperature,<br />

activity, posture <strong>and</strong> also has a fall detection algorithm as well as a Physiological Welfare Indication based on<br />

heart rate <strong>and</strong> respiratory rate.<br />

Figure 24: Hidalgo Equivital measuring unit (left) <strong>and</strong> belt (right)<br />

SINTEF has also developed a sensor belt sending data over Bluetooth to a cell phone (which in turn sends<br />

data to a server so that a nurse may follow the patient). The system is to be tested in home monitoring of<br />

patients with congestive heart failure in the US autumn 2011. The chest unit is shown in Figure 25, <strong>and</strong><br />

includes simple ECG (heart rate), 3D accelerometer, 3D gyroscope <strong>and</strong> IR skin temperature sensor.<br />

Figure 25: SINTEF ESUMS chest unit belt<br />

10.3 Interpretation of multiple sensor signals<br />

The development of sensor fusion algorithms has for several years been viewed as an important perceptual<br />

activity in mobile robotics [Murphy, 1996]. Sensor fusion is a term used to describe how multiple<br />

independent sensors are combined to extract <strong>and</strong> refine information not available through single sensors alone.<br />

14 www.equivital.co.uk<br />

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