Nihon Kohden has been granted a patent for a system that synchronizes medical waveform data received over a network, addressing delays and losses. The system includes a key generation mechanism to minimize collisions in large data streams, enhancing accurate analysis and storage of medical records. GlobalData’s report on Nihon Kohden gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Nihon Kohden, Treatment progress monitoring was a key innovation area identified from patents. Nihon Kohden's grant share as of July 2024 was 59%. Grant share is based on the ratio of number of grants to total number of patents.
Waveform synchronization and key generation for medical data
The granted patent US12068844B2 describes a key generation system designed to minimize key collisions when processing large data streams, particularly from medical devices monitoring multiple patients. The system comprises one or more processors connected to a network and a database, which are configured to receive numerous records containing both data and timestamps. Each record is assigned a unique key that consists of a timecode portion derived from the record's timestamp and a hash code portion calculated from the record data. Notably, the key generation process does not involve querying the database, allowing the system to handle up to 1,000,000 records per day while maintaining an expected collision rate of less than or equal to 0.10.
The patent further elaborates on the architecture of the system, which may include multiple processors that independently receive and process records without the need for inter-processor communication or reliance on a central server. The timecode portion of the key can utilize a Portable Operating System Interface (POSIX) time code, with options for fixed-length prefixes to enhance uniqueness. Additionally, the system can calculate adjusted timestamps to synchronize records to a common time reference, ensuring accurate key generation. This innovative approach aims to efficiently manage large volumes of data while minimizing the risk of key collisions, making it particularly relevant for applications in healthcare data management.
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