ABSTRACT
'No suicide contracts' are commonly used in community crisis situations with suicidal people in New Zealand. These take the form of a 'guarantee of safety', along with a 'promise' to call specified persons if the suicidal ideation becomes unmanageable. This article describes the use of 'no suicide contracts' in community crisis situations, analyses the use of the tool within this context, and, in particular, argues that the theoretical base (transactional analysis) of the 'no suicide contract' is likely to be deleterious in the community crisis situation.
Subject(s)
Contracts , Crisis Intervention/methods , Suicide Prevention , Suicide/psychology , Transactional Analysis/methods , Humans , New Zealand , Psychiatric Nursing , Psychological TheoryABSTRACT
This paper investigates the performance of artificial neural networks for analysing and classifying EMG signals from healthy subjects and patients with myopathic and neuropathic disorders. EMG interference patterns (IP) were recorded under maximum voluntary contraction from the right biceps of a total of 50 subjects. Parameters were obtained from the signals using recognized quantification techniques including turns analysis, small segments analysis and frequency analysis. Supervised networks examined were an improved backpropagation network (IBPN), a radial basis network (RBN), and a learning vector quantization network (INQ). Supervised networks using different combinations of parameters from turns analysis and small segments analysis gave diagnostic yields of 60-80%. Combinations using frequency analysis parameters produced similar results. The performance of unsupervised Self-Organising Feature Maps (SOFM) was generally lower than that of the supervised networks. Including personal data (sex and age) did not improve the overall performance.
