Abstract: An assembly for angle adjustment may be used with agriculture equipment such as planters, applicators and tillage equipment wherein deployment of a coupler upon a shaft to allow introduction of an angle is beneficial. A closing wheel assembly incorporating the assembly for angle adjustment allows control of the angle of a closing wheel to improve soil gathering action for delivery of more or less soil to the seed slot/open furrow generated by the opener or opener assembly of a planter (drill) row unit. Exemplary applications of the assembly for angle adjustment include row unit closing wheel assemblies, fertilizer applicators and strip tillage closing systems.

Abstract: An assembly for angle adjustment is disclosed and shown for use with agriculture equipment such as planters, applicators and tillage equipment wherein deployment of a coupler upon a shaft to allow introduction of an angle is beneficial. A closing wheel assembly incorporating the assembly for angle adjustment allows control of the angle of a closing wheel to improve soil gathering action for delivery of more or less soil to the seed slot/open furrow generated by the opener or opener assembly of a planter (drill) row unit. Exemplary applications of the assembly for angle adjustment include row unit closing wheel assemblies, fertilizer applicators and strip tillage closing systems.

Abstract: A blood pressure measurement apparatus and method is disclosed in which the taking of blood pressure measurements of a patient is controlled in dependence upon the analysis of a signal from the patient indicative of cardiac contractions.

Abstract: A heart monitoring apparatus and method is disclosed wherein an electrocardiograph signal is obtained from a patient and processed to enhance the salient features and to suppress noise. A plurality n of values representative of the features of the electrocardiograph signal are generated and used in a Kohonen neural network to generate an n dimensional vector. This vector is compared with a stored plurality m of n dimensional reference vectors defining an n dimensional Kohonen feature map to determine the proximity of the vector to the reference vectors. If it is determined by the Kohonen neural network that the vector is within or beyond a threshold range of the reference vectors a signal is output which can be used to initiate an event such as the generation of an alarm or the storage of ECG data.