Method for stimulating living body more accurately and apparatus using the same
Inventors
Yun, Kyongsik • Chae, Yongwook • Lee, Kiwon
Assignees
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Publication Number
US-9381352-B2
Publication Date
2016-07-05
Expiration Date
Abstract
An apparatus for more accurately stimulating a living body comprises: a stimulation unit configured to apply a bio-stimulation signal in vicinity to a living body, the bio-stimulation signal being composed of pieces of time-series data having a specific frequency; and a control unit configured to derive bio-stimulation information required to achieve targeted bio-information using time space data indicative of bio-responses interacting at a plurality of different positions in response to the bio-stimulation signal, and derive a relation between the bio-stimulation signal and the bio-responses, and control the stimulation unit to apply the bio-stimulation signal in response to the derived bio-stimulation information. The relation is configured to set the bio-stimulation information as variables in an X matrix (m, t), set the bio-response information as variables in a Y matrix (n, t), and derive an A matrix (n, m) satisfying Y=AX.
Core Innovation
The invention relates to an apparatus for more accurately stimulating a living body by applying a bio-stimulation signal composed of pieces of time-series data having a specific frequency and by deriving bio-stimulation information required to achieve targeted bio-information. The control unit uses time space data indicative of bio-responses interacting at a plurality of different positions in response to the bio-stimulation signal, and the derived bio-stimulation information is used to control the stimulation unit to apply the bio-stimulation signal in response to the derived bio-stimulation information.
A relation between the bio-stimulation signal and the bio-responses is represented as a linear relation in matrix form. The relation is configured to set the bio-stimulation information as variables in an X matrix (m,t), set the bio-response information as variables in a Y matrix (n,t), and derive an A matrix (n,m) satisfying Y=AX.
Preferred embodiments include estimating the A matrix using repetition-mean values and using pseudo-inverse least squares to handle multi-type stimulation and multiple bio-response information. The A matrix may be derived from a single subject or from multiple subjects, and surrounding environmental information may be incorporated into the X/A derivation.
Claims Coverage
The independent claim covers an apparatus that applies a time-series bio-stimulation signal and uses time-space bio-response data at multiple positions to derive stimulation information through a matrix relation using an X matrix and a Y matrix linked by Y=AX, including a control loop. Four inventive features are identified, with dependent refinements that add environmental sensing, repetition-mean values for A-matrix values, and pseudo-inverse least-squares estimation for multi-type stimulation and corresponding bio-responses.
Matrix relation between stimulation and bio-response (Y=AX)
Derive bio-stimulation information required to achieve targeted bio-information using time space data indicative of bio-responses interacting at a plurality of different positions in response to the bio-stimulation signal, derive a relation between the bio-stimulation signal and the bio-responses, and control the stimulation unit to apply the bio-stimulation signal in response to the derived bio-stimulation information, wherein the relation is configured to set the bio-stimulation information as variables in an X matrix (m, t), set the bio-response information as variables in a Y matrix (n, t), and derive an A matrix (n, m) satisfying Y=AX.
Time-series bio-stimulation signal at specific frequency
A stimulation unit configured to apply a bio-stimulation signal in vicinity to a living body, the bio-stimulation signal being composed of pieces of time-series data having a specific frequency.
Use of time space bio-response information at multiple positions
Use time space data indicative of bio-responses interacting at a plurality of different positions in response to the bio-stimulation signal to derive bio-stimulation information required to achieve targeted bio-information.
Incorporating surrounding environmental information into derivation
Acquire surrounding environmental information and nearby bio-related information using an environment sensor and a measurement unit, analyze their relationship, and derive bio-stimulation information needed to achieve targeted bio-information.
Repetition-mean values for A-matrix
Set values in the A matrix to mean values computed from values derived during respective repetitions.
Pseudo-inverse least-squares for multi-type stimulation/response
Derive values in the A matrix using a pseudo-inverse method to obtain the least squares solution when multiple types of bio-stimulation and corresponding bio-response information are acquired.
Overall claim coverage centers on deriving bio-stimulation information by forming a matrix relation between bio-stimulation information in an X matrix and bio-response information in a Y matrix, with Y=AX linking them through an A matrix. Dependent refinements further specify environmental sensing, repetition-mean estimation for A, and pseudo-inverse least-squares estimation for multi-type stimulation and bio-response data.
Stated Advantages
More accurate stimulating of a living body.
Documented Applications
Using derived bio-stimulation information to achieve targeted bio-information by controlling bio-stimulation signals based on measured bio-responses.
Storing and processing stimulation/response/A-matrix data including wavelet-transformed frequency variation and coherence/causality analysis on a platform DB and server for access control.
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