Affective bandwidth measurement and affective disorder determination

Abstract

The present disclosure relates to methods for measuring affective bandwidth of a subject (e.g., a human) and determining depression determination of the subject. The affective bandwidth measurement may include the following operations. For example, the subject may watch positive neutral and negative pictures for 8-10 seconds, respectively. Information for all fixation points may be obtained using an eye movement tracking device. Pupil diameter sizes of the subject while watching the positive, neutral and negative picture tasks may be calculated, and the affective bandwidth may be calculated. The affective bandwidth may include positive affective bandwidth (positive-neutral), negative affective bandwidth (negative-neutral) and positive-negative affective bandwidth (positive-negative) of the subject.

Claims

1. A method for measuring affective bandwidth and determining an affective disorder, the method comprising: under control of a computing device comprising one or more processors, measuring positive affective bandwidth of a subject by: selecting multiple first positive pictures with a first valence level higher than about 8.0 and a first arousal level higher than about 5.0 using an International Affective Picture System (IAPS), the affective bandwidth indicating a size and a range of affective experience of the subject induced through external stimulation, the affective bandwidth including the positive affective bandwidth, negative affective bandwidth and positive-negative affective bandwidth, selecting multiple first neutral pictures with a second valence level between about 4.0-5.0 and a second arousal level between about 2.0-3.0 using the IAPS, normalizing the multiple first positive pictures and the multiple first neutral pictures to form a first plurality of pictures, each of the first plurality of pictures having a first size, first brightness and a first gray level, combining the first plurality of pictures using a non-overlapping and combined together manner to void vision fatigue, thereby forming a first vision stimulation task with first positive information, combining first neutral pictures of the first plurality of pictures in a non-overlapping and combined together manner to void vision fatigue, thereby forming a first vision stimulation task with first neutral information, presenting first vision stimulation of the first positive pictures in a first center of a display for 8-10 seconds to the subject, synchronously acquiring first information for fixation points of the subject using an eye movement tracking device associated with the computing device, presenting first vision stimulation of the first neutral pictures in the center of a display for 8-10 seconds to the subject, synchronously acquiring first information for the fixation points of the subject using the eye movement tracking device, confirming existence of m fixation points of the fixation points when the subject views the positive pictures, wherein: a pupil diameter mean value of each fixation point is calculated according to formula 1:
d.sub.i=(d.sub.i.sup.left+d.sub.i.sup.right)/2
d.sub.p=.sub.1.sup.mdi/m(Formula 1) i=1, 2, 3, . . . , m d.sub.i.sup.left and d.sub.i.sup.right are left and right pupil diameters of a i.sup.th fixation point, respectively, confirming existence of q fixation points when the subject views the first neutral pictures, wherein: the mean pupil diameter d.sub.M of each fixation point is calculated according to formula 2:
d.sub.k=(d.sub.k.sup.left+d.sub.k.sup.right)/2
d.sub.M=.sub.1.sup.qd.sub.k/q(Formula 2) k=1, 2, 3, . . . , q, d.sub.k.sup.left and d.sub.k.sup.right are the left and right pupil diameters of the k.sup.th fixation point, respectively, and acquiring a size S.sub.PaBW and variation range R.sub.PaBW of the positive affective bandwidth using formula 3:
S.sub.PaBW=d.sub.pd.sub.M
R.sub.PaBW=0(d.sub.pd.sub.M)(Formula 3), wherein a size S.sub.PaBW(D) of the positive affective bandwidth of the subject and the size S.sub.PaBW(H) of the positive affective bandwidth of the healthy control group can be obtained; measuring the negative affective bandwidth of the subject by: selecting second multiple negative pictures with a third valence level between about 1.0-2.0 and a third arousal level higher than about 5.0 using the IAPS, normalizing the second multiple negative pictures to form a second plurality of pictures, each of the second plurality of picture having a second size, second brightness, and a second gray level, combining the second plurality of picture to form a second vision stimulation task with second negative information presenting the second vision stimulation of the second multiple negative pictures in the center of the display for 8-10 seconds to the subject, synchronously acquiring information of all fixation points of the subject using the eye movement tracking device; confirming existence of n fixation points when the subject views the second multiple negative pictures, wherein: a mean value of the pupil diameter d.sub.N of each fixation point is calculated using formula 4:
d.sub.j=(d.sub.j.sup.left+d.sub.j.sup.right)/2
d.sub.N=.sub.1.sup.nd.sub.j/n(Formula 4) (j=1,2,3, . . . , n) d.sub.j.sup.left and d.sub.j.sup.right are left and right pupil diameters of a j.sup.th fixation point, respectively, acquiring the size S.sub.NaBW and range R.sub.NaBW of the negative affective bandwidth using formula 5:
S.sub.NaBW=d.sub.Nd.sub.M
R.sub.NaBW=0(d.sub.Nd.sub.M)(Formula 5), obtaining the size S.sub.NaBW(D) of the negative affective bandwidth of the subject and size S.sub.NaBW(H) of the negative affective bandwidth of the healthy control group; measuring the positive-negative affective bandwidth of the subject based on the measured the negative affective bandwidth and the measured positive affective bandwidth by: obtaining the size S.sub.PNaBW and variation range R.sub.PNaBW of the negative affective bandwidth using formula 6:
S.sub.PNaBW=d.sub.pd.sub.N
R.sub.PNaBW=d.sub.Nd.sub.p(Formula 6) obtaining the size S.sub.PNaBW(D) of the positive-negative affective bandwidth of the subject and the size S.sub.PNaBW(H) the positive-negative affective bandwidth of the healthy control group, the positive-negative affective bandwidth indicating a size and a range of a maximum positive affective experience and a minimum negative affective experience of the subject; determining the affective disorder of the subject based on: the size S.sub.PaBW(D) of the positive affective bandwidth of the subject and the size S.sub.PaBw(H) of the positive affective bandwidth of the healthy control group, the size S.sub.NaBW(D) of the negative affective bandwidth of the subject and the size S.sub.NaBW(H) of the negative affective bandwidth of the healthy control group, the size S.sub.PNaBW(D) of the positive-negative affective bandwidth of the subject and size S.sub.PNaBW(H) of the positive-negative affective bandwidth of the healthy control group using formula 7:
S.sub.PaBW(D)<S.sub.PaBW(H)
S.sub.PNaBW(D)<S.sub.PNaBW(H)(Formula 7), and determining that the subject is depressed if the positive affective bandwidth S.sub.PaBW(D) of the subject is smaller than S.sub.PaBW(H) of a standard, and the negative affective bandwidth S.sub.PNaBW(D) of the subject is smaller than S.sub.PNaBW(H) of the standard.

Description

BRIEF DESCRIPTION OF THE DRAWINGS

(1) FIG. 1 is a diagram illustrating affective bandwidth measurement and disorder determination;

(2) FIG. 2 is a flowchart of selecting affective pictures;

(3) FIG. 3 is a flowchart illustrating affective bandwidth measurement;

(4) FIG. 4 is a flowchart illustrating affective disorder determination;

(5) FIG. 5 is a diagram illustrating results of effective bandwidth comparison between a subject and a normal person; and

(6) FIG. 6 is a diagram illustrating results of effective disorder determination and evaluation of a subject.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

(7) The technical solution for this method may be further described using the attached drawings implemented in the following manner.

(8) FIG. 1 is a diagram illustrating implementations related to affective bandwidth measurement and disorder determination. These implementations may be performed by a computing device, which may be a user device or a server. In one exemplary configuration, the computing device includes one or more processors, input/output interfaces, network interface, and memory. The memory may include various modules configured to perform the following implementations.

(9) FIG. 1 includes three parts, namely, affective picture task design, affective bandwidth measurement and affective disorder determination of the depressive disorder, comprising the following procedures:

(10) 1) First, the affective picture task design shown in FIG. 2, including the following steps:

(11) (1) Selecting 16 affective pictures from the IAPS, including four positive pictures (valence level is higher than about 8.0 and the arousal level is higher than about 5.0), four negative pictures (valence level is between about 4.0 and 5.0 and arousal level between about 2.0 and 3.0) and four neutral pictures (valence level is between about 1.0 and 2.0 and the arousal level is higher than about 5.0);

(12) (2) Because the selected pictures are likely of different sizes, brightness and gray levels, these pictures will be normalized, and each picture will be processed into the picture of the same form in terms of size (200*200 pixels), brightness and gray level using Photoshop software; and

(13) (3) Because a certain period is needed to induce emotions from people, vision fatigue will only be induced when one picture is used to induce the emotion. Therefore, four pictures of the same form in emotion type will constitute an emotion picture task, as follows: combing the four positive pictures according to four quadrants together in a non-overlapping manner to generate a vision stimulation task with positive information; combining the four negative pictures in a non-overlapping manner according to four quadrants to generate a vision stimulation task with negative information; and combining the four neutral pictures in a non-overlapping manner according to four quadrants to generate a vision stimulation task with neutral information.

(14) 2) Measurement of the affective bandwidth, as shown in FIG. 3, will including the following steps:

(15) (1) Positive affective bandwidth is measured, presenting the positive affective picture task in Step 1) in the center (both the horizontal view angle and the vertical view angle are 12 degrees) of a 17-inch color display (the resolution is 1024*768) for 10 seconds of viewing and synchronously acquiring the information for all fixation points of the subject using an eye movement tracking device associated with the computing device; presenting the neutral affective picture task in Step 1) in the center (both the horizontal view angle and the vertical view angle are 12 degrees) of a 17-inch color display (the resolution is 1024*768) for 10 seconds of viewing, and synchronously acquiring the information for all fixation points using an eye movement tracking device; and presenting the negative affective picture task in Step 1) in the center (both the horizontal view angle and the vertical view angle are 12 degrees) of a 17-inch color display (the resolution is 1024*768) for 10 seconds, and synchronously acquiring the information for all fixation points using an eye movement tracking device;

(16) (2) Pupil diameter mean value of all fixation points when the subject views the most pleasant picture is calculated:
d.sub.j=(d.sub.j.sup.left+d.sub.j.sup.right)/2
d.sub.P=.sub.1.sup.nd.sub.j/m(Formula 1) (i=1, 2, 3, . . . , m)

(17) wherein d.sub.i.sup.left and d.sub.i.sup.right are the left and right pupil diameters of the i.sup.th fixation point, respectively;

(18) Similarly, the mean pupil diameters d.sub.N and d.sub.M of the subject viewing the most unpleasant picture and the neutral picture, respectively, will be calculated according to the method used in Step (2) for calculating d.sub.P;

(19) (3) The size S.sub.PaBW of positive affective bandwidth (PaBW) refers to the difference between the pupil diameter d.sub.P of the subject viewing the most pleasant picture and the pupil diameter d.sub.M of the subject viewing the neutral picture, and the variation range R.sub.PaBW of the positive affective bandwidth (PaBW) is 0 to d.sub.Pd.sub.M according to the formula:
S.sub.PaBW=d.sub.Pd.sub.M
R.sub.PaBW=0(d.sub.Pd.sub.M)(Formula 3);

(20) (4) The size S.sup.NaBW of negative affective bandwidth (NaBW) refers to the difference between the pupil diameter d.sub.N of the subject viewing the most unpleasant picture and the pupil diameter d.sub.M of the subject viewing the neutral picture, and the variation range R.sub.NaBW the NaBW is 0 to d.sub.Nd.sub.M according to the formula:
S.sub.NaBW=d.sub.Nd.sub.M
R.sub.NaBW=0(d.sub.nd.sub.M)(Formula 5)

(21) (5) The PNaBW (Positive-Negative affective bandwidth) refers to the size range of the maximum positive affective experience and the size range of the minimum negative affective experience of the cognitive individual. The size S.sub.PNaBW and the variation range R.sub.PNaBW of the PNaBW are calculated according to the formula:
S.sub.PNaBW=d.sub.Pd.sub.N
P.sub.PNaBW=d.sub.Nd.sub.P(Formula 6)

(22) 3) Affective disorder determination flow, as shown in FIG. 4, will first acquire the positive affective bandwidth and the positive-negative affective bandwidth of the healthy control group; subsequently, the positive affective bandwidth and the negative affective bandwidth of the subject will be acquired; and finally, the positive affective bandwidths and the positive-negative affective bandwidths of the subject and the healthy control group will be compared. If the positive affective bandwidth of the subject is lower than that of the healthy control group and the positive-negative affective bandwidth of the subject is lower than that of the healthy control group, then the subject is depressed;

(23) 4) Evaluation of the affective disorder level of the subject;

(24) FIG. 5 is a diagram illustrating results of effective bandwidth comparison between a subject and a normal person. FIG. 5 includes the comparison of the affective bandwidth sizes and variation ranges of 36 subjects determined as depressed according to the Beck scale and the self-rating affective disorder scale provided using implementation data obtained from the present method and the normal person. This result indicates that both the positive affective bandwidth and the positive-negative affective bandwidth of the subject are lower than those of the normal person, suggesting the positive affective experience deficiency of the subject, leading to a gloomy mood and deficiency of pleasurable feeling.

(25) FIG. 6 is a diagram illustrating results of effective disorder determination and evaluation of a subject. The results may indicate the affective disorder assessment for the 36 subjects determined as depressed according to the Beck scale and the self-rating affective disorder scale provided using implementation data obtained from the present disclosure. The affective disorder determination and evaluation based on the affective bandwidth was obtained for 36 persons whose psychological magnitudes were assessed as depressed using the present disclosure, wherein 29 persons are evaluated as affective disorder (accounting for about 80.6%) and 7 persons are evaluated as affective normal (accounting for about 19.4%).