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Medical cloud computing software Biosignal Datahub
archivinglaboratoryweb-based

Medical cloud computing software - Biosignal Datahub - Newert Co., Ltd. - archiving / laboratory / web-based
Medical cloud computing software - Biosignal Datahub - Newert Co., Ltd. - archiving / laboratory / web-based
Medical cloud computing software - Biosignal Datahub - Newert Co., Ltd. - archiving / laboratory / web-based - image - 2
Medical cloud computing software - Biosignal Datahub - Newert Co., Ltd. - archiving / laboratory / web-based - image - 3
Medical cloud computing software - Biosignal Datahub - Newert Co., Ltd. - archiving / laboratory / web-based - image - 4
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Characteristics

Applications
medical, laboratory, archiving
Other characteristics
reporting, web-based, data acquisition

Description

Overview
Biosignal Datahub is a cloud-based data platform supporting the collection, storage, processing, analysis, and sharing of biosignal data. The platform stores biosignal data in a standardized structure so you can search, manage, analyze, and share datasets by experiment while preserving analytical context when researchers change.

Key features
  • Collect: Upload data from measurement devices and existing files to a single platform.
  • Standardize: Organize experiment, participant, and signal information into a common structure for consistent data management.
  • Search: Find datasets by condition and metadata using condition-based search.
  • Analyze: Review data characteristics with event-based descriptive statistics and summarized visualizations.
  • Share: Enable research teams and partner organizations to work from the same data context with controlled access.

Screens and preview
  • Data search screen — condition-based data search and review with focused screens to find datasets and judge what matters even in large data collections.
  • Visualization and summary screen — visualization and summary of collected data with separate result and summary views to aid interpretation.

Getting started
Three steps to run your first experiment: sign up, create an experiment, upload the files — the summary is built for you.
  • Sign up for an account.
  • Create an experiment to keep measurement conditions and participant details attached to files.
  • Upload files and review the automatically built summary.

Data structure and context
  • Experiment: Research objective, protocol, recording date and owner.
  • Participant: Participant attributes and coded identifiers required for analysis.
  • Signal: Signal type, channels, units, sampling conditions and equipment.
  • Conditions: Cohort, session, stimulus and events used to interpret results.

Visibility
  • Private: Managed within the research team and invited collaborators (restricted access).
  • Public or shared: Make eligible datasets searchable and reusable for wider teams or partners.

Technical characteristics / specifications
  • Cloud-based research data platform designed for biosignal experiments.
  • Stores biosignal data in a standardized, experiment-centric structure.
  • Supports upload from measurement devices and existing files.
  • Condition-based dataset search and metadata filtering.
  • Event-based descriptive statistics and dataset summaries for analysis.
  • Separate screens for search results and summarized visualization to improve data judgment.
  • Access control and dataset visibility settings (private, shared/public) to manage collaboration and privacy.
  • Maintains experiment, participant, signal and condition metadata together to preserve research context.
*Prices are pre-tax. They exclude delivery charges and customs duties and do not include additional charges for installation or activation options. Prices are indicative only and may vary by country, with changes to the cost of raw materials and exchange rates.