8 results about "Patient report" patented technology

We provide a flexible, AI-powered wearable patch system for non-invasive medication compliance monitoring. [Solution] This system 100 integrates physiological sensors 101 to detect heart rate variability, skin temperature, electrocutaneous activity, and swallowing-related muscle signals. A drug detection sensor 102 identifies interactions with drug containers, and a medication event sensor 103 detects gestures or physiological signals indicating medication. An embedded AI processor 104 receives multimodal sensor data and performs digital filtering, normalization, artifact removal, and machine learning-based classification to determine medication confirmation events, missed doses, or irregular medication patterns. A power management unit 105 controls the power supply to ensure continuous operation. A wireless communication module 106 transmits processed medication data to an external device. This enables reliable, objective, and real-time medication confirmation without relying on invasive ingestion sensors or patient reports.

The invention discloses a lung cancer immunotherapy adverse reaction patient report management system, which relates to the technical field of medical information and comprises a data acquisition module, a phase deviation calculation module, a characteristic parameter calculation module, a real-time data processing module, a characteristic decomposition module and an evaluation generation module. The method comprises the following steps: firstly, acquiring a drug administration time sequence and multi-dimensional symptom data of a patient, calculating a phase offset at a symptom acquisition moment by using a drug administration period, constructing a periodic phase coordinate system, and mapping a symptom feature vector to the coordinate system, calculating a first characteristic parameter representing drug resonance intensity and a second characteristic parameter representing a time sequence topological relation between symptoms, constructing a multi-dimensional signal decoupling model, decomposing a symptom data vector into a first component vector and a second component vector, and generating a grading evaluation result according to module values of the two components; according to the invention, precise decoupling and identification of immune adverse reactions and tumor progression are realized, and the problem of misjudgment caused by confusion of signal sources is effectively solved.

1. Name of the product in this design: Graphical User Interface (Armline) for Electronic Devices with Export of Patient Training Report Data. 2. The purpose of this design product is for program operation. 3. The key design feature of this product is its graphical user interface. 4. The image or photograph that best illustrates the design points: Change state diagram 1. 5. The purpose of the graphical user interface is for program operation and for therapists to export patient training report data. 6. Human-Computer Interaction Methods of the Graphical User Interface: Main View: The displayed graphical user interface is the login interface; Change State Diagram 1: The displayed graphical user interface is the main interface after successfully logging in by entering the device account and password in the main view; Change State Diagram 2: The displayed graphical user interface is the interface for displaying the patient list and statistical data after clicking the patient management button in the left navigation bar in Change State Diagram 1; Change State Diagram 3: The displayed graphical user interface is the interface for displaying the selected patient report list by clicking the report button in the upper right corner of Change State Diagram 2; Change State Diagram 4: The displayed graphical user interface is the interface for selecting reports to be exported and activating the batch export button in Change State Diagram 3; Change State Diagram 5: The displayed graphical user interface is the interface for displaying the export confirmation pop-up after clicking the batch export button in Change State Diagram 4; Change State Diagram 6: The displayed graphical user interface is the interface for displaying the export status after clicking the confirmation button in Change State Diagram 5; Change State Diagram 7: The displayed graphical user interface is the result feedback interface for successfully exporting reports in Change State Diagram 6.

The present disclosure describes methods of using an alimemazine or a pharmaceutically acceptable salt thereof for treating pain associated with trigeminal neuralgia. The methods of the present disclosure can include administering to a patient in need thereof a therapeutically effective amount of an alimemazine or a pharmaceutically acceptable salt thereof, thereby treating the patient. The methods can include reducing pain in the patient, as determined by patient report or clinician-administered outcome assessments.

A system for managing and distributing patient reports regarding medical devices to end users includes at least one processor configured to perform instructions to receive, from at least one therapeutic medical device, first physiological information relating to at least one therapeutic medical device patient and receive, from at least one monitoring medical device, second physiological information relating to at least one monitoring medical device patient. The at least one processor is also configured to perform instructions to process the first physiological information and the second physiological information, generate a plurality of patient reports from the processed first physiological information and from the processed second physiological information, receive a selection from an end user via an end user terminal, and provide at least one patient report of the plurality of patient reports to the end user terminal based on the received selection.

The invention discloses a tumor patient individualized medication dose optimization method, which comprises the following steps: establishing a patient file, calculating an initial dose based on evidence-based knowledge, making a structured follow-up visit plan, integrating data from communities, families and patient reports, analyzing by using a fusion rule and an intelligent algorithm, and generating a dose optimization suggestion. After doctor-patient auditing, a situational medication reminding and recording tool is automatically updated and pushed, and finally continuous loop feedback and iteration of a treatment scheme are achieved; according to the invention, long-term follow-up visit and dosage decision are bound, and medication reminding, patient education and clinical support are combined, so that real-time, accurate and individualized adjustment of the medication dosage is effectively realized in a basic scene, and the treatment safety and compliance are improved.

A pacemaker control system includes a pacemaker; a plurality of sensors which are internal to the pacemaker, a plurality of sensors which are external to the pacemaker, a circuit for entering patient reports; and a circuit for using artificial intelligence to process outputs from the plurality sensors internal and external to the pacemaker and from the circuit for entering patient reports, which are collectively identified as a labeled dataset, to reiteratively learn a function which determines the labeled dataset most likely to provide optimal cardiac function of the patient. The means for using artificial intelligence comprises a database of archive outputs from the plurality sensors internal and external to the pacemaker and from the means for entering patient reports for the patient used for optimization of rate modulation to intelligently, continuously and physiologically control the pacemaker.

The application discloses a kind of based on double self-adapting weighted multimodal fusion rheumatoid arthritis activity intelligent evaluation method, belong to medical information technology field.This method inputs clinical test, imageology, patient report and joint sign multimodal data, after abnormal value processing, missing value filling and standardization preprocessing, carries out modal internal feature purification enhancement;With modal reliability factor and bidirectional cross-modal attention weight, realize double self-adapting weighted depth fusion;Output disease activity grade and DAS28 score, and adopt global clinical correction factor to complete result calibration.The application integrates multi-dimensional data complementary value, realizes rheumatoid arthritis activity precision, objectification, forward-looking evaluation, provides reliable basis for clinical intervention.