PERSONALIZED HEALING SOUNDS DATABASE

• US 20140181127A1
• Filed: 12/21/2011
• Published: 06/26/2014
• Est. Priority Date: 01/07/2011
• Status: Active Grant

• Current Assignee: Koninklijke Philips N.V.
• Original Assignee: Koninklijke Philips Electronics N.V. (Koninklijke Philips N.V.)
• Inventors: Kohlrausch, Armin Gerhard, Decr, Michel Marcel Jose, Barroso, Andre Melon, Van Schijdel, Nicolle Hanneke, De Bruijn, Werner Paulus Josephus, Falck, Thomas
• Granted Patent: US 9,710,551 B2
• Time in Patent Office: Days
• US Class Current: 707/754
• CPC Class Codes: A61M 2021/0027 by the hearing sense
• CPC Class Codes: A61M 21/00 Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis
• CPC Class Codes: A61M 2230/06 Heartbeat rate only
• CPC Class Codes: A61M 2230/10 Electroencephalographic signals
• CPC Class Codes: G06F 16/435 Filtering based on additional data, e.g. user or group profiles
• CPC Class Codes: G06F 16/436 using biological or physiological data of a human being, e.g. blood pressure, facial expression, gestures
• CPC Class Codes: G06F 16/635 Filtering based on additional data, e.g. user or group profiles

Abstract

The invention relates to the field of music therapy. In particular the invention is related to a method for producing a personalized database of sounds and music tracks by filtering and combining personal and hospital databases of sounds which induces variations of the physiological state of a listener.

Claims

1. A computer-implemented method of producing a personalized sounds database comprising:

determining preferred values of sound features of elements of a first database (D1) comprising elements, such as sounds, thereby creating a first filter (F2);

applying said first filter (F2) to a second database (D2) comprising elements, such as sounds, thereby producing a filtered second database (D4);

applying a second filter (F1) to a first database (D1) comprising elements, such as sounds, thereby producing a filtered first database (D3); and

combining said filtered first database (D3) with said filtered second database (D4), thereby providing said personalized sounds database (D5).

4. The computer-implemented method according to claim 1, wherein said first database (D1) is a database comprising user favorite sounds.

5. The computer-implemented method according to claim 1, wherein said first filter (F2) comprises a digital signal processing algorithm, said digital signal processing algorithm, when applied to said second database (D2), selects, from said second database (D2), those elements having features with values similar to said preferred values of said sound features of said elements of said first database (D1).

6. The computer-implemented method according to claim 1, wherein said sound features are tonality, percussiveness, spectral bandwidth.

7. The computer-implemented method according to claim 1, wherein said second filter (F1) comprises a digital signal processing algorithm, said digital signal processing algorithm, when applied to said first database (D1), determines said sound features of elements in said first database and selects elements from said first database having values of said sound features corresponding to pre-determined values.

8. The computer-implemented method according to claim 1, wherein said sound features are the perceived tempo of the elements.

9. The computer-implemented method according to claim 1, further comprising,

exposing a listener to said elements from said personalized sounds database.

10. The computer-implemented method according to claim 1, wherein said preferred values of sound features are further determined by:

exposing a listener to elements from said personalized sounds database;

monitoring variations of at least one physiological condition of said listener during the exposure to said elements;

extracting said preferred values of sound features from the elements of said personalized sounds database to which said listener is exposed to, when said at least one physiological condition of said listener have a pre-determined magnitude.

11. The computer-implemented method according to claim 9, further comprising:

monitoring variations of at least one physiological condition of said listener during the exposure to said elements;

removing from said personalized sounds database elements producing undesired variations of at least one physiological condition of said listener during the exposure to said elements.

15. A computer-readable storage medium having stored therein computer readable instructions, which, when loaded in and executed by a computer causes a computer to perform the steps as defined by the method in claim 1.

2-3. -3. (canceled)

12. A computer based system for producing a personalized sounds database comprising:

at least one electronic data processor;

a data communication interface connected to said data processor;

wherein said computer based system is configured to;

determine preferred values of sound features of elements of a first database (D1) comprising elements, such as sounds, thereby creating a first filter;

apply said first filter (F2) to a second database (D2) comprising elements, such as sounds, thereby producing a filtered second database (D4), wherein said computer based system is configured to apply a second filter (F1) to a first database (D1) comprising elements, such as sounds, thereby producing a filtered first database (D3), and wherein said computer based system is configured to combine said filtered first database (D3) with said filtered second database (D4), thereby providing said personalized sounds database (D5).

13-14. -14. (canceled)