D2.1 Requirements and Specification - CORBYS
D2.1 Requirements and Specification - CORBYS
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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