# US 2019/0377600 A1 · Edge-computing unit, medical analytics cloud-computing network, and method for performing statistical analysis

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- Number: US 2019/0377600 A1
- Document ID: US20190377600A1
- Status: Published application
- Kind: A1
- Application number: 16/169,335
- Filed: 2018-10-24
- Published: 2019-12-12
- Earliest claimed: 2018-06-12
- Assignees: Bittium Biosignals Oy
- Applicants: Bittium Biosignals Oy
- Inventors: Matti Sarén; Arto Remes
- Web page: https://patentgrep.com/patent/US20190377600A1

## CPC

- G06F 9/4881: {Scheduling strategies for dispatcher, e.g. round robin, multi-level priority queues}
- G16H 50/20: for computer-aided diagnosis, e.g. based on medical expert systems
- G16H 10/60: for patient-specific data, e.g. for electronic patient records
- G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N)
- G16H: HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA

## Abstract

The present disclosure describes for a medical analytics cloud-computing network, an edge-computing unit for the cloud-computing network, and a method for performing statistical analysis in cloud-computing network. The cloud computing network comprises at least one analytics engine within the cloud-computing network, and at least one edge-computing unit at the edge of the cloud computing network. The edge-computing unit is configured to receive a data processing task originating from the at least one analytics engine, perform the data processing task to extract the at least one feature, and return the extracted feature to be received by the analytics engine.

## Claims

### Claim 1

A system for a medical analytics cloud-computing network, the system comprising:
at least one analytics engine within the cloud-computing network, and
an edge-computing unit at an edge of the cloud computing network, wherein the edge-computing unit is configured to:
receive a data processing task originating from the at least one analytics engine, wherein the data processing task is a distributed computational task of statistical analysis of locally stored biosignal data to extract at least one feature of the locally stored biosignal data, wherein the at least one feature is such that the locally stored biosignal data or an origin of the locally stored biosignal data cannot be reconstructed based on the at least one feature,
access the locally stored biosignal data,
perform the data processing task on the locally stored biosignal data to extract the at least one feature, and
return the extracted the at least one feature to be received by the analytics engine.

### Claim 2 (depends on 1)

The system of claim 1, wherein:
the analytics engine is configured to perform the distributed computational task of statistical analysis on the basis of the extracted the at least one feature.

### Claim 3

A medical analytics cloud-computing network comprising:
an analytics engine within the cloud-computing network, wherein the analytics engine is configured to:
send a data processing task to be received by at least one edge-computing unit at an edge of the cloud computing network, wherein the data processing task is a distributed computational task of a statistical analysis of a locally stored biosignal data to extract an at least one feature of the locally stored biosignal data, wherein the at least one feature is such that the locally stored biosignal data or an origin of the locally stored biosignal cannot be reconstructed based on the at least one feature,
receive at least one extracted feature originating from the at least one edge-computing unit performing the data processing task, and
perform the statistical analysis on the basis of the at least one extracted feature, and
the at least one edge-computing unit at the edge of the cloud computing network, wherein each of the at least one edge-computing unit is configured to:
receive the data processing task originating from the analytics engine,
access the locally stored biosignal data,
perform the data processing task on the locally stored biosignal data to extract the at least one feature, and
return the extracted the at least one extracted feature to be received by the analytics engine.

### Claim 4

A computer-implemented method for performing statistical analysis on biosignal data in a cloud-computing network, the method comprising:
sending a data processing task to be received by at least one edge-computing unit at the edge of the cloud computing network, wherein the data processing task is a distributed computational task of a statistical analysis of a locally stored biosignal data to extract an at least one feature of the locally stored biosignal data, wherein the at least one feature is such that the locally stored biosignal data or an origin of the locally stored biosignal data cannot be reconstructed based on the at least one feature,
receiving the extracted the at least one feature originating from the at least one edge-computing unit performing the data processing task, and
performing the statistical analysis on the basis of the extracted the at least one feature.

### Claim 5

(canceled)

### Claim 6 (depends on 3)

The medical analytics cloud-computing network of claim 3, wherein the cloud computing network comprises a plurality of edge-computing units.

### Claim 7 (depends on 4)

The computer-implemented method of claim 4, further comprising:
receiving the data processing task from the analytics engine,
accessing the locally stored biosignal data,
performing the data processing task on the locally stored biosignal data in order to extract the at least one feature, and
returning the extracted the at least one feature to be received by the analytics engine.

### Claim 8 (depends on 7)

The method of claim 7, wherein the cloud computing network comprises a plurality of edge-computing units.