Abstract: A process and a device for automatically detecting an abnormal respiratory ound permits a continuous and stress-free registration of abnormal respiratory sounds of a test person under normal life activities over a period of time. The respiratory sounds are detected, processed and evaluated in real time. From the detected frequency range, in the course of the evaluation consideration is given only to the previously determined characteristic frequencies at the position of which in the frequency spectrum of the respiratory sound of the test person an abnormal respiratory sound is to be recognized by a significant feature. The data detected at these frequency positions are compared with data which are individually determined for the test person for fulfillment of specific criteria for the occurrence of an abnormal respiratory sound, and the result of the comparison is made available as a signal.

Abstract: A medical condition quantification and dysfunction-reduction therapy evaluation process enables a health care service provider to monitor the improvement of a patient's condition, as well as the efficiency of the rehabilitation process employed to achieve a patient improvement objective. Based upon initial patient examination data, one or more sets of parameters associated with respective body regions, for which dysfunction-reducing therapy is to be carried out, are provided. For each parameter, a data value is generated. The magnitude of the data value is based upon the condition of the body region associated with the parameter. All of the data values of the parameters of a body region are combined, to quantify the overall condition or dysfunction of the body region. Periodically, during the course of the patient therapy program, the physical condition of the body region being treated is re-examined.