INTELLIGENT APPROACH TO LOCAL AND GENERAL PHYSIOTHERAPY DEVICES

Abstract

This paper discusses the usage of intelligent approach to a physiotherapy. Physiotherapy as a branch of medicine has existed for a long time, but its methods of application remain about the same as they were a hundred years ago. This causes a number of problems, in particular a sceptical attitude towards physiotherapy itself. The use of traditional techniques in this field has a major influence on its attitude. Even though even traditional methods of treating patients with physiotherapy show good results, people are increasingly turning to medication. However, these methods are not directed at the individual patient, with his or her personal problems, and can be detrimental to the patient, let alone the treatment. Every patient, irrespective of gender, race or age, has his or her own individuality. Physiotherapists now prescribe treatment to patients on the basis of their findings and personal experience. But this is not always the right approach, especially if we're talking about the severely or chronically ill patients.But we are lucky to live in the era of computer progress, when machines can not only help in determining the correct diagnosis, but also autonomously make decisions about the patient's treatment. With this modern approach to health care, it is even possible to automate certain areas. A global collection of data on patients, with their different illnesses and experiences, will help. By processing this data, we can create knowledge bases, with different patterns, so that the patient's treatment plan will be as appropriate and accurate as possible. This approach is already being used in other areas of medicine, for instance for the recognition of X-ray images. Using fuzzy logic, machine learning and artificial intelligence algorithms, data from databases can be used to create predefined patient treatment patterns. This can help in determining the diagnosis and prescribing the right treatment in cases where doctors take a long time to decide on the right approach. Keywords: Physiotherapy devices, Fuzzy logic, Machine learning, Artificial Intelligence, Data bases, Biofeedback.