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1977 results about "Medical diagnosis" patented technology

Medical diagnosis (abbreviated Dx or DS) is the process of determining which disease or condition explains a person's symptoms and signs. It is most often referred to as diagnosis with the medical context being implicit. The information required for diagnosis is typically collected from a history and physical examination of the person seeking medical care. Often, one or more diagnostic procedures, such as medical tests, are also done during the process. Sometimes posthumous diagnosis is considered a kind of medical diagnosis.

X ray high frequency high voltage generator for medical use diagnose

The invention discloses a medical diagnosis X-ray high frequency high pressure generator, comprising a power supply, a central control unit, a high frequency inverter circuit, a pulse width modulation driving circuit and a high pressure transform and high pressure output circuit. The generator transforms the industrial power to two ways of high frequency and high pressure, a positive direct current high pressure and a negative direct current high pressure are obtained through rectifying and wave-filtering to provide an X-ray ball tube to work. As the frequency is high, the ripple of the rectified and wave-filtered high electric pressure is tiny, and the X-ray quality projected by the X-ray ball tube is high, and the clearance of photos of the perspective and photograph is also high. The X-ray ball tube of a photograph bed or the X-ray ball tube of an electric perspective bed can work if allocated with the high pressure power. The invention is convenient for the medical staff to use the X-ray to do the work of diagnosing diseases. As the high pressure power supply, the invention is also suitable in the safety inspection fields such as industrial flaw detection, civil aviation, station and customs etc, and provides a stable and high qualified high pressure power supply for the equipments.
Owner:广西道纪医疗设备有限公司

Remote-medical-diagnosis system method

Provided are a remote medical-diagnosis system including: a bio-disc or a biochip performing biological, chemical or biochemical reactions with a sample, and having a barcode or a RF IC; a bioanalytical device analyzing results of reactions performed by the bio-disc or the biochip and including a reader reading the barcode or the RF IC to authenticate the bio-disc or the biochip or recording the measured data to the RF IC regardless of a connection with a remote diagnosis server; a virtual doctor as a software in a user's terminal, the virtual doctor providing a user with guidelines and instructions as how to use the bioanalytical device, and providing the user with a consulting service, a diagnosis unit self-analyzing the measured data using mathematical calculations and outputing results of a diagnosis; a user's terminal providing the user with a consulting service from a medical expert or a virtual doctor; a medical expert's terminal providing the user with a consulting service; and a remote diagnosis server connecting the user with the medical expert during periodic medical consultations, connecting the user with the virtual doctor during non-periodic medical consultations, blocking connection between the user and the virtual doctor if a periodic medical consultations term has elapsed; and a method of performing the remote medical-diagnosis.
Owner:PRECISIONBIOSENSOR INC

Personalized Monitoring and Healthcare Information Management Using Physiological Basis Functions

Analysis of individual's serial changes, also referred to as the physiological, pathophysiological, medical or health dynamics, is the backbone of medical diagnosis, monitoring and patient healthcare management. However, such an analysis is complicated by enormous intra-individual and inter-individual variability. To address this problem, a novel serial-analysis method and system based on the concept of personalized basis functions (PBFs) is disclosed. Due to more accurate reference information provided by the PBFs, individual's changes associated with specific physiological activity or a sequence, transition or combination of activities (for example, a transition from sleep to wakefulness and transition from rest to exercise) can be monitored more accurately. Hence, subtle but clinically important changes can be detected earlier than using other methods. A library of individual's PBFs and their transition probabilities (which can be described by Hidden Markov Models) can completely describe individual's physiological dynamics. The system can be adapted for healthcare information management, diagnosis, medical decision support, treatment and side-effect control. It can also be adapted for guiding health, fitness and wellness training, subject identification and more efficient management of clinical trials.
Owner:SHUSTERMAN VLADIMIR
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