INTELLIGENT APPROACH TO LOCAL AND GENERAL PHYSIOTHERAPY DEVICES

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