335results about How to "Shorten diagnostic time" patented technology

An anatomical imaging system comprising a CT machine; and a transport mechanism mounted to the base of the CT machine, wherein the transport mechanism comprises a fine movement mechanism for moving the CT machine precisely, relative to the patient, during scanning.

Equipment failures are diagnosed using an integrated approach of case-based reasoning (CBR) and statistical reliability analysis. The method outputs a single list of suggested failed components, ranked by an overall probability of failure, and their associated past solutions from the case base. The overall probability of failure is calculated using the combined logic of case based reasoning and statistical reliability analysis. The method is typically used in a real-time decision support system to aid equipment diagnosis by a maintenance technician working in the field.

The invention relates to a remote traditional Chinese medical diagnosis and treatment system which comprises a consultation module, a specialist selection module, a specialist terminal, a host terminal and an analysis platform. The consultation module comprises a consultation initiation unit, a consultation control unit, a consultation report unit and a consultation evaluation unit, and a clinician can log in the consultation initiation unit to send a consultation application; the specialist selection module is used for selecting consultation specialists and appointing a consultation host according to the type of a disease; the consultation control unit is used for opening the analysis platform, bringing in the consultation specialists and controlling a consultation progress; the consultation report unit is used for summarizing a consultation scheme obtained after a deep discussion and forming a consultation report; and after the consultation scheme is executed, the consultation evaluation unit forms the contribution degrees of each specialist participating in the consultation process. In the remote diagnosis and treatment system, the consultation specialists can share a patient case and diagnosis data in real time, and under the help of the analysis platform, the consultation specialists and a patient can more intuitionally communicate mutually, thus the wisdoms of the specialists are integrated, thereby further improving the scientificity of specialist selection and the accuracy of a diagnosis result.

The invention belongs to the field of a detection reagent, and relates to a detection and identification kit for MTBC (mycobacterium tuberculosis complex) and an identification method of the MTBC. According to the method, fluorescence probes and amplification primers for detecting the MTBC are designed through sequence alignment, mycobacterium and the MTBC specific SNP (single nucleotide polymorphism) loci on an rrs gene are detected based on a real-time fluorescent quantitative PCR (polymerase chain reaction) platform and with an asymmetric PCR amplification technology and a probe melting curve analysis technology, so that mycobacteria are identified, and the MTBC and NTM (nontuberculosis mycobacteria) are further identified. The method has the characteristics of convenience in operation, short detection time and high specificity and sensitivity.

The invention discloses an internet of things based high- and low-voltage switchgear system. The system is characterized by comprising a switchgear master control unit and an intelligent router unit. The intelligent router unit is used for establishing connections of all switchgear master control units of a power supply station and a client and for establishing a virtual local area network; the switchgear master control unit converts power signals periodically received, into power information; the power information is subjected to comprehensive judgement of operation load. The system is available for remote updating and debugging of system files of switchgear and for autonomous trip control; the system is capable of remotely monitoring and controlling the switchgear according to the transmitted power information, thus electrical equipment is more intelligent and equipment monitoring capacity and controllability is enhanced.

N images in a respiratory cycle which are radiographed in year P are input, and binary lung field images are extracted from the respective front chest images. Lung field areas S and lung field heights are then calculated. In forming area and height variation waveforms, regions of the N input images are obtained and plotted. Each image is determined as an image belonging to the inspiration mode or expiration mode. The respective images are sorted and stored. Similar processing is performed for N images in a respiratory cycle which are radiographed in year P+1, and the resultant images are stored. Difference images are obtained from the basic images radiographed in year P+1 and the reference images radiographed in year P for each mode by image analysis, thereby extracting changes over time.

The invention provides an intelligent electrical-network fault diagnosis method based on multilevel feedback adjustment. The method comprises the steps that historical switching information and electrical quantity attribute information of different devices in an electrical network when the electrical network has faults are stored in a historical fault information base; electrical quantity information of the devices in the electrical network is obtained when the electrical network has faults; diagnosis at the rough identification level is carried out according to the obtained electrical quantity information of the devices in the electrical network, and suspected fault elements are determined in a minimal breaking zone defining method based on the equivalent network to form a candidate set of the suspected fault elements; diagnosis at the fuzzy decision making level is carried out; diagnosis at the accurate positioning level is carried out; and according to results of three levels of fault diagnosis, intersection elements are obtained from suspected fault element sets E1 and E2 to finally determine a diagnosis result of fault elements. The electrical network with faults is analyzed at different levels according to the different sources of the multi-source fault information and the obtaining and processing difficulty of different type of information, and different types of fault information is fully utilized and information is complementary to improve the accuracy of fault diagnosis.

The invention relates to a generation method and system for a dynamic diagnosis report. The generation method comprises the steps of obtaining check data, wherein the check data comprises personal information and condition checking information of a patient; generating a main body of the dynamic diagnosis report according to the obtained check data; performing labeling on a medical striograph in the obtained condition checking information; enabling a labeled picture format file to be associated to the main body of the dynamic diagnosis report; and receiving signature information, and performing synthesis on the signature information and the associated main body of the dynamic diagnosis report to obtain the dynamic diagnosis report. The generation system comprises a check data acquisition module, a report main body generation module, a medical striograph labeling module, an image-text associating module and a dynamic diagnosis report generation module. According to the generation method and system disclosed by the invention, the electronic type dynamic diagnosis report is adopted to replace a conventional paper report, so that the electronic type dynamic diagnosis report can be stored and read conveniently; and by enabling the medical image to be associated with examination findings or diagnosis opinions, so that the condition information of the patient can be presented more intuitionally.