United States Patent
`[19]
`[11] Patent Number:
`6,095,984
`
`Amano et al.
`[45] Date of Patent:
`Aug. 1, 2000
`
`US006095984A
`
`[54] ARRHYTHMIA DETECTING APPARATUS
`
`FOREIGN PATENT DOCUMENTS
`
`[75]
`
`.
`-
`.
`Inventors. Kazuhlko Amano, Suwa, Kazuo
`Uebaba, Yokohama; H1tosh1 Ishlyama,
`Toride, all Of Japan
`,
`.
`.
`[73] Assignee: Selko Epson Corporatlon, Tokyo,
`Japan
`
`9/1996 European Pat. Off.
`0 729 726
`7/1985
`Japan .
`60—135029
`11/1990
`Japan .
`2—289230
`4—285530 10/1992
`Japan .
`7—227383
`8/1995
`Japan .
`
`.
`
`Primary Examiner—Cary O’Connor
`Assistant Examiner—Navin Natnithithadha
`
`[21] Appl. No.2
`[22]
`PCT Filed:
`
`08/981,349
`Apr. 17, 1997
`
`[86]
`
`PCT/JP97/01322
`PCT No.:
`Apr. 6’ 1998
`§ 371 Date:
`§ 102(e) Date: Apr. 6, 1998
`
`[87]
`
`PCT Pub. N05 W097/38626
`PCT Pub. Date: Oct. 23, 1997
`
`Foreign Application Priority Data
`[30]
`8—095731
`Apr 17 1996
`[JP]
`Japan
`Ma: 10’ 1997
`[as]
`Japan :::::::::::::::::::::::::::::::::::: 9-055263
`’
`Int. Cl.7 ................................. A61B 5/04; A61B 5/02
`[51]
`[52] US. Cl.
`.......................... 600/500; 600/481; 600/513;
`600/515
`[58] Field of Search ..................................... 600/515, 513,
`600/500, 509, 481
`
`[56]
`
`References Cited
`
`U'S’ PATENT DOCUMENTS
`3,996,928 12/1976 Marx ....................................... 600/515
`4,261,370
`4/1981 Von Nettelhorst
`...................... 600/481
`4,338,950
`7/1982 Barlow, Jr. et al.
`.
`5,749,366
`5/1998 Odagiri et al.
`.......................... 600/481
`5,776,070
`7/1998 Kitazawa et al.
`....................... 600/483
`
`[57]
`
`ABSTRACT
`
`,
`,
`,
`,
`The arrhythmia detecting apparatus of the present invention
`is provided with a pulse wave detecting means which
`non-invasivel detects the ulse waveform, and an arrh th-
`mia detectingymeans whicliJ detects arrhythmia by monitor-
`ing changes in the pulse waveform detected by the pulse
`wave detecting means. The arrhythmia detection means has
`a decision element which determines that arrhythmia has
`occurred when there is an interruption in the continuity of
`this change. Methods employed for investigating the conti-
`nuity of change in the pulse waveform include a time
`domain method employing pulse wave interval values, and
`a frequency ecinain inches in which isequency anaiysis
`(FFT or wavelet transformation) is carried out on the pulse
`waveform, with continuity studied based on the results of
`this analysis. As a result of this design, it is possible to detect
`arrhythmia by means of a simpler structure and easier
`operations as compared to an electrocardiogram and so orh
`Further,
`it
`is also acceptable to provide a body motion
`detecting means, and to determine continuity of change for
`a pulse wave component after the body motion component
`detected by the aforementioned means has been removed
`therefrom. In this case, since it is possible to remove the
`body motion component from the Pulse aneform, arrhyth-
`mia can be detected even more accurately throughout the
`course of daily activities.
`
`37 Claims, 43 Drawing Sheets
`
`PULSE
`BODY MOTION
`(PULSE WAVE COMPONENT,
`BODY MOT I ON COMPONENT)
`
`PULSE WAVE DETECTING MEANS
`
`BODY MOTION DETECTING MEANS
`
`PULSE WAVE SIGNAL
`
`BODY MOTION SIGNAL
`
`
`
`ARRHYTHMIA DETECTING MEANS
`
`
`
`
`
`
`ARRHYTHMIA DETECTING SIGNAL
`
`1
`
`APPLE 1020
`
`1
`
`APPLE 1020
`
`

`

`US. Patent
`
`‘Aug.1
`
`9
`
`2000
`
`Sheet1,0f43
`
`6,095,984
`
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`US. Patent
`
`Aug. 1,2000
`
`Sheet 3 0f 43
`
`6,095,984
`
`FIG. 3
`
`
`
`4
`
`

`

`US. Patent
`
`Aug. 1, 2000
`
`Sheet 4 0f 43
`
`6,095,984
`
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`US. Patent
`
`Aug. 1, 2000
`
`Sheet 5 0f 43
`
`6,095,984
`
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`US. Patent
`
`Aug. 1, 2000
`
`Sheet 6 0f 43
`
`6,095,984
`
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`

`

`US. Patent
`
`Aug. 1, 2000
`
`Sheet 7 0f 43
`
`6,095,984
`
`n.GE
`
`
`
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`

`

`US. Patent
`
`Aug. 1,2000
`
`Sheet 8 0f 43
`
`6,095,984
`
`I:IC5.53
`
`SAI
`
`8A2
`
`/ N
`
`O
`
`START
`
`DETECTION OF
`
`BODY MOTION
`
`
`
` BODY MOTION
`
`
`PRESENT ?
`
`
`
`
`SAT
`
`SA8
`
`DETECTION OF
`
`PULSE WAVE
`
`BODY MOTION
`
`
`
`PRESENT ?
`
`
`
`A/D CONVERSION
`
`PROCESSING OF PULSE
`SA9
`
`WAVE DETECTION
`RECTANGULAR WAVE
`
`PROCESSING OF
`
`PULSE WAVE
`
`
`A/D CONVERSION
`PROCESSING OF BODY
`MOTION DETECTIO
`
`
`
`
`
`FFT PROCESSING
`
`EXTRACTION OF PULSE
`WAVE COMPONENT
`
`SAID
`
`CALCULATION
`OF PULSE RATE
`
`END
`
`9
`
`

`

`US. Patent
`
`Aug. 1, 2000
`
`Sheet 9 0f 43
`
`6,095,984
`
`T>ozmsamm¢ :EEEE:ii:::::::
`
`<m.OE
`
`mm.0_n_
`
`10
`
`10
`
`

`

`US. Patent
`
`Aug. 1, 2000
`
`Sheet10 0f43
`
`6,095,984
`
`
`
`
`
`Azo_Hoz>oom-m><gmm43mv
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`
`11
`
`

`

`US. Patent
`
`Aug. 1,2000
`
`Sheet 11 0143
`
`6,095,984
`
`F3|C3. 1 1
`
`START
`
`BODY MOTION DETECTION (13g)
`
`PULSE WAVE DETECTION (1mg)
`
`
`
`PROCESSING TO SUBTRACT BODY
`MOTION FROM PULSE WAVE
`fM = fmg’fsg
`
`
`DETERMINATION OF FREQUENCY
`OF MAXIMUM SPECTRUM FROM
`AMONG SUBTRACTION RESULT,
`
`(meax)
`
`fM
`
`S
`
`B]
`
`S
`
`82
`
`333
`
`SB4
`
`BSS
`
`PULSE WAVE = meaX
`
`12
`
`12
`
`

`

`US. Patent
`
`Aug. 1,2000
`
`Sheet 12 0f 43
`
`6,095,984
`
`FIG. 12
`
`START
`
`
`SCI
`
`FIND FREQUENCY COMPONENTS
`
`FROM RESULT OBTAINED AFTER
`
`
`FFT PROCESSING OF BODY MOTION
`
`
`SIGNAL,
`IN ORDER OF LARGEST
`
`
`LINE SPECTRUM (st
`
`
`scz
`
`YES
`
`/8 C3
`
`3C4
`
`st
`
`(FUNDAMENTAL WAVEI
`
`= st/Z
`
`
`SC5
`
`
`
`
`
`
`FIND FREQUENCY COMPONENTS
`FROM RESULT OBTAINED AFTER
`FFT PROCESSING OF PULSE WAVE
`SIGNAL,
`IN ORDER OF LARGEST
`LINE SPECTRUM IfmI
`
`
`
`
`
`
`
`NO
`
`3C9
`
`PULSE WAVE = fm
`
`13
`
`13
`
`

`

`US. Patent
`
`Aug. 1,2000
`
`Sheet 13 0f 43
`
`6,095,984
`
`FIG. 13
`
`SECOND HIGHER HARMONIC WAVE
`
`
`
`POWER
`
`FUNDAMENTAL WAVE
`
`
`
`1H2
`
`2H2
`
`3H2
`
`4Hz
`
`14
`
`14
`
`

`

`US. Patent
`
`Aug. 1,2000
`
`Sheet 14 0f 43
`
`6,095,984
`
`FIG. 14
`
`START
`
`FIND FREQUENCY COMPONENTS FROM
`RESULT OBTAINED AFTER FFT PROCESSING
`OF BODY MOTION SIGNAL,
`IN ORDER OF
`
`SDZ
`
`W YES
`
`SD4
`
`LARGEST LINE SPECTRUM Iffl
`
`
`SD5
`
`SD
`
`HMC = 3
`
`HMC = I
`
`HMC = 2
`
`SDI
`
`SD3
`
`SD?
`
`st
`
`(FUNDAMENTAL WAVE)
`
`= fs/HMC
`
`LARGEST LINE SPECTRUM (fmI
`
`FIND FREQUENCY COMPONENTS FROM
`RESULT OBTAINED AFTER FFT PROCESSING
`OF PULSE WAVE SIGNAL,
`IN ORDER OF
`
`SDQ
`
`-IllllllllliEI:iIIII->
`
`NO
`
`SDI2
`
`PULSE WAVE = fm
`
`15
`
`15
`
`

`

`US. Patent
`
`Aug. 1,2000
`
`Sheet 15 0f 43
`
`6,095,984
`
`FIG. 15
`
`START
`
`SEI
`
`BODY MOTION DETECTION
`
`/5/SE2
` BODY MOTION
`
`
`PRESENT ?
`
`SE3
`
`TIME DURATION SUM Rt
`
`SWITCHING SIGNAL OFF
`
`YES
`
`SE4
`
`SE5
`
`SE6
`
`SET
`
`SE8
`
`
`
`
`
`
`
`
`PULSE WAVE DETECTION
`
`BODY MOTION DETECTION
`
`SWITCHING SIGNAL ON
`
`
`RECTANGULAR WAVE
`PROCESSING OF PULSE
`WAVE DETECTION
`
`FFT PROCESSING
`
`EXTRACTION OF PULSE
`WAVE COMPONENT
`
`_
`CALCULATION OF PULSE RATE
`
`SE13
`
`16
`
`16
`
`

`

`US. Patent
`
`Aug. 1,2000
`
`Sheet 16 0f 43
`
`6,095,984
`
`F:I(3. 1(3
`
`START
`
`BODY MOTION DETECTION
`
`SFI
`
`SFZ
`
`BODY MOTION
`PRESENT ?
`
` PULSE WAVE DETECTION
`YES
`
`N0
`
`BODY MOTION
`YES
`
`PRESENT ?
`
`A D CONVERSION
`PROCESSING OF PULSE
`
`WAVE DETECTION
`
`
`RECTANGULAR WAVE
`
`PROCESSING OF
`A D CONVERSION
`PULSE WAVE
`PROCESSING OF BODY
`MOTION DETECTION
`
`
`NO
`
`FFT PROCESSING
`
`SF3
`
`SF4
`
`SFS
`
`
`CONSTANCY
`PRESENT ?
`
`EXTRACTION 0F PULSE
`WAVE COMPONENT
`
`SFIO
`
`EXTRACTION OF PULSE
`WAVE COMPONENT
`
`
`
`
`
`
`PULSE RATE CALCULATED
`
`SFIZ
`
`END
`
`17
`
`17
`
`

`

`US. Patent
`
`Aug. 1,2000
`
`Sheet 17 0f 43
`
`6,095,984
`
`FIG. 17
`
`100%
`
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`FIG. 18
`
`FACE CHART
`
`F2
`
`
`
`F1
`
`18
`
`18
`
`

`

`US. Patent
`
`Aug. 1,2000
`
`Sheet 18 0f 43
`
`6,095,984
`
`FIG. 19
`
`
`
`19
`
`19
`
`

`

`US. Patent
`
`Aug. 1,2000
`
`Sheet 19 0f 43
`
`6,095,984
`
`FIG. 20
`
`f1
`
`f2
`
`f3
`
`BODY MOTION
`
`DETECTING MEANS
`
`SECOND WAVELET
`TRANSFORMING MEANS
`
`PULSE WAVE
`
`DETECTING MEANS
`
`FIRST WAVELET
`TRANSFORMING MEANS
`
`FIRST FREQUENCY
`CORRECTING MEANS
`
`SECOND FREQUENCY
`CORRECTING MEANS
`
`MASK MEANS
`
`f7
`
`f8
`
`f9
`
`DECIDING MEANS
`
`NOTIFYING MEANS
`
`RECORDING MEANS
`
`FREQUENCY CALCULATING
`MEANS
`
`SUMMING MEANS
`
`f11
`
`
`
`
`SECOND NOTIFYING MEANS
`
`THIRD NOTIFYING MEANS
`
`
`
`f12
`
`FOURTH NOTIFYING MEANS
`
`f15
`
`20
`
`f4
`
`f5
`
`f6
`
`fIO
`
`f13
`
`f14
`
`20
`
`

`

`US. Patent
`
`Aug. 1, 2000
`
`Sheet 20 0f 43
`
`6,095,984
`
`FIG. 21
`
`144
`
`21
`
`21
`
`

`

`US. Patent
`
`Aug. 1,2000
`
`Sheet 21 0f 43
`
`6,095,984
`
`FIG. 22A
`
`
`
`22
`
`22
`
`

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`US. Patent
`
`Aug. 1, 2000
`
`Sheet23 0f43
`
`6,095,984
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`US. Patent
`
`Aug. 1, 2000
`
`Sheet 24 0f 43
`
`6,095,984
`
`FIG. 25A MH
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`

`US. Patent
`
`Aug. 1, 2000
`
`Sheet 25 0f 43
`
`6,095,984
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`

`US. Patent
`
`Aug. 1,2000
`
`Sheet 26 0f 43
`
`6,095,984
`
`FIG. 27
`
`4.0Hz ”v 3 5H2
`
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`
`2.5Hz “v 2.0Hz
`
`3.0Hz ”v 2.5Hz
`
`27
`
`27
`
`

`

`US. Patent
`
`Aug. 1, 2000
`
`Sheet27 0f43
`
`6,095,984
`
`A82E.F
`
`FIG. 28B
`
`FIG. 28E
`
`FIG. 28F
`
`1.3243820:____:::__:
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`
`28
`
`28
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`
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`

`

`US. Patent
`
`Aug. 1,2000
`
`Sheet 28 0f 43
`
`6,095,984
`
`FIG. 29
`
`
`
`29
`
`

`

`US. Patent
`
`Aug. 1, 2000
`
`Sheet29 0f43
`
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`US. Patent
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`Aug. 1, 2000
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`Sheet 30 0f 43
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`6,095,984
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`US. Patent
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`Aug. 1, 2000
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`US. Patent
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`Aug. 1, 2000
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`US. Patent
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`Aug. 1, 2000
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`US. Patent
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`Aug. 1, 2000
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`US. Patent
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`Aug. 1, 2000
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`Sheet 35 0f 43
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`US. Patent
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`Aug. 1,2000
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`Sheet 36 0f 43
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`6,095,984
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`US. Patent
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`Aug. 1,2000
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`Sheet 37 0f 43
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`6,095,984
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`US. Patent
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`Aug. 1,2000
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`Sheet 38 0f 43
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`6,095,984
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`

`US. Patent
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`[Xug.1,2000
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`Sheet39 0f43
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`6,095,984
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`US. Patent
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`Aug. 1, 2000
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`Sheet 40 0f 43
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`6,095,984
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`FIG. 41
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`

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`US. Patent
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`Aug. 1,2000
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`Sheet 41 0f 43
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`6,095,984
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`

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`US. Patent
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`Aug. 1,2000
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`Sheet 42 0143
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`6,095,984
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`NUMBER OF
`
`ARRHYTHM I A
`
`1
`
`2
`
`3
`
`4
`
`5
`
`6
`
`7
`
`8
`
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`
`10
`
`11
`
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`
`FIG. 438
`
`NUMBER OF
`
`ARRHYTHMIA I I
`
`I
`
`SUN MON TUE. WED THU. FRI
`
`SAT.
`
`(DAY OF
`THE WEEK)
`
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`
`NUMBER OF
`
`ARRHYTHMIA
`
`0
`
`2
`
`4
`
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`TIME)
`
`43
`
`43
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`Aug. 1,2000
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`Sheet 43 0f 43
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`FIG. 44
`
`1997/04/01
`
`10:28:15
`
`1997/04/01
`
`10:59:21
`
`19997/04/01
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`11:40:18
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`
`
`
`
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`
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`
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`44
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`44
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`

`

`6,095,984
`
`1
`ARRHYTHMIA DETECTING APPARATUS
`BACKGROUND OF THE INVENTION
`1. Field of the Invention
`
`The present invention relates to an arrhythmia detecting
`apparatus suitable for detecting arrhythmia at rest and during
`daily activity, from the pulse.
`2. Description of the Related Art
`The pulse generated by the contraction of the heart may
`be obtained in the form of a pulse wave (pulse waveform).
`This pulse waveform can be broadly separated into a “prin-
`cipal wave”, which arises from the contraction of the heart
`which causes blood to be sent
`into the arteries, and a
`“dicrotic wave”, which derives from closure of the heart
`valve. In a healthy individual, there is a regular repetition in
`the contraction of the heart, such that the pulse waveform
`exhibits a constant rhythm.
`However, when the heart is weak due to an abnormality
`in the circulatory system, an arrhythmic pulse may occur.
`While these types of disorders in the pulse (hereinafter,
`referred to as “arrhythmia”) can be caused by smoking, they
`are also frequently seen in cardiac diseases such as cardiac
`valve disease, myocardial infarction, cardiomyopathy and so
`on. Accordingly, arrhythmia detection would be useful for
`the diagnosis of some abnormalities in the circulatory sys-
`tem.
`
`The danger of bradycardia (in which the pulse rate is less
`than 40 beats/min), caused by symptoms of complete atrio-
`ventricular block or Adums-Stokes syndrome,
`is well
`known. Moreover, it is also known that symptoms of sick
`sinus syndrome cause bradycardia or tachycardia (in which
`the pulse rate is 150 beats/min or more). Further, extrasys-
`tole can cause intermittent pulse (arrhythmia), so that its
`occurrence during exercise may be considered quite dan-
`gerous. Thus, in view of these circumstances, considerable
`focus has been placed on detection of arrhythmia.
`It has been the conventional to detect arrhythmia such as
`described above by employing an electrocardiogram in
`which electrodes are attached to the subject’s chest, and an
`electrocardiac potential is detected via the electrodes.
`An electrocardiography is a large device, and requires the
`attachment of electrodes to the subject. Accordingly,
`the
`subject’s movements are restrained since he cannot leave the
`examination room for the duration of procedure. While
`portable electrocardiogram recording devices have been
`developed in recent years, these too are problematic since
`they are difficult to use, and do not enable a person without
`specialized knowledge to detect arrhythmia on his own
`easily. In other words, until now, it has not been possible to
`detect accurately arrhythmias during in one’s normal daily
`activities.
`
`SUMMARY OF THE INVENTION
`
`The present invention was conceived in consideration of
`the above-described circumstances, and has as its objective
`the provision of a portable arrhythmia detecting apparatus
`capable of accurately detecting arrhythmia by means of a
`simple operation which can be performed during the course
`of normal daily activities.
`In order to resolve the problems discussed above,
`present invention is basically provided with:
`a pulse wave detecting means which non-invasively
`detects the pulse waveform in the body;
`a body motion component excluding means which
`excludes the body motion component from the pulse
`waveform detected by the pulse wave detecting means;
`and
`
`the
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`a notifying means which provides notice of information
`showing the pure pulse waveform, which is the wave-
`form obtained after the body motion component
`excluding means has excluded the body motion com-
`ponent.
`Alternatively, the arrhythmia detecting apparatus according
`to the present invention may be provided with:
`a pulse wave detecting means which non-invasively
`detects the pulse waveform in the body;
`a body motion component excluding means which
`excludes the body motion component from the pulse
`waveform detected by the pulse wave detecting means;
`an arrhythmia detecting apparatus which detects arrhyth-
`mia by monitoring changes in the pure pulse waveform
`obtained after the body motion component excluding
`means has excluded the body motion component; and
`a notifying means which provides notice of the results of
`the detection by the arrhythmia detecting means.
`The above-described structure permits arrhythmia to be
`detected based on pulse waveforms which can be obtained
`in a non-invasive manner. Thus, arrhythmia can be detected
`by means of a simple operation, without requiring the
`attachment of electrodes to the test subject’s chest.
`Moreover, the design of the arrhythmia detecting apparatus
`according to the present
`invention is simpler and more
`compact than an electrocardiograph, making it possible to
`realize an arrhythmia detecting apparatus with excellent
`portability. Additionally, it is noted here that while the pulse
`waveform detected by the pulse wave detecting means may
`be considered to include a body motion component which
`arise from daily activity, it is an easy matter to distinguish
`between the body motion component and the pulse wave
`component provided that
`the body motion is within the
`normal daily range. Accordingly, it is possible to obtain a
`pure pulse waveform, thereby allowing accurate detection of
`arrhythmia during the course of daily activities. Moreover,
`it goes without saying that by providing notice of informa-
`tion showing the pure pulse waveform, the individual thus
`notified is made aware of the presence or absence of
`arrhythmia.
`if a body motion detecting means which
`Moreover,
`detects body motion and outputs a body motion waveform is
`provided, and changes in the pulse wave component
`obtained after excluding the body motion component from
`the pulse waveform are monitored, then it is possible to
`cancel out this body motion component. Therefore,
`it is
`possible to accurately detect arrhythmia even when the
`subject is exercising.
`Further, the presence or absence of continuity over a time
`or frequency domain may also be investigated. When check-
`ing continuity over a time domain, the difference between a
`reference value and the pulse wave interval is monitored.
`However, in order to more accurately detect arrhythmia, it is
`also acceptable to update the pulse wave interval.
`In the case where checking continuity over a frequency
`domain, arrhythmia is detected by carrying out frequency
`analysis on the waveform, and employing the result which
`corresponds to the pulse wave component. In this case, it is
`also acceptable to more accurately detect arrhythmia by
`changing the frequency region on which frequency analysis
`is performed, in response to the body’s state of activity.
`Moreover,
`it is also acceptable to carry out detection of
`arrhythmia only when there is constancy in the activity, so
`that arrhythmia detection is carried out only during regular
`exercise (running or other intense exercise, for example).
`With respect to the frequency analysis method, FFT (fast
`Fourier transform), wavelet
`transformation, or another
`45
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`

`6,095,984
`
`3
`method may be suitably employed. In the case of FFT, an
`appropriate range of variation is first estimated for the pulse
`frequency. A determination that arrhythmia has occurred is
`then made if a frequency spectrum projecting into the
`estimated range of change is not present in the FFT results.
`When employing wavelet transformation, the continuity
`of the pulse wave analysis data obtained by performing
`wavelet transformation on the pulse waveform is analyzed in
`each frequency region. A determination that arrhythmia has
`occurred is made if an abnormal portion is detected. In this
`case, it is also acceptable to correct the pulse wave analysis
`data based on the various corresponding frequencies so that
`the power density per frequency becomes constant. Cor-
`rected pulse wave data is thereby generated, and the conti-
`nuity of the corrected pulse wave data is analyzed in each
`frequency region. If an abnormal portion is detected, then a
`determination is made that arrhythmia has occurred.
`Wavelet transformation may also be performed on the
`pulse waveform and the body motion waveform,
`respectively, to obtain pulse wave analysis data and body
`motion analysis data. Then, an analysis of continuity may be
`carried out on the result obtained after subtracting the body
`motion analysis data from the pulse wave analysis data. It is
`of course also acceptable. to carry out the aforementioned
`subtraction after correcting the wavelet
`transformation
`results so that the power density per frequency becomes
`constant, or to carry out correction after the subtraction
`operation. In addition, as another method for excluding the
`body motion component from the pulse waveform, a method
`may be employed in which the frequency component cor-
`responding to body motion is excluded from the pulse wave
`analysis data or the pulse wave correction data. In addition,
`wavelet transformation may be carried out in synchroniza-
`tion with the period of the pulse waveform.
`When a decision is made that arrhythmia has occurred, the
`user may be notified of this fact, and the time of the event
`may be recorded. It is also acceptable to provide notice to the
`user after associating the information (a histogram,
`for
`example) corresponding to the recorded time of an arrhyth-
`mia event with physiological rhythms in the body. It is also
`acceptable to calculate the arrhythmia frequency informa-
`tion by calculating the number of times that a determination
`of arrhythmia is made within a specified period of time. In
`this case, notice is provided when this arrhythmia frequency
`information exceeds a specific value determined in advance.
`It is also acceptable to add the number of times that an
`arrhythmia determination has been made,
`to generate
`arrhythmia sum information. In this case, notice is then
`provided when the arrhythmia sum information exceeds a
`specific value determined in advance. In addition, it is also
`acceptable to provide notice when both the arrhythmia
`frequency information and the arrhythmia sum information
`exceed the respective specific values determined in advance
`therefor, or, alternatively, when at least one of these exceeds
`the specific value determined in advance therefor. By means
`of these various designs, it is thereby possible for the user to
`be aware of his own physical condition.
`Arrhythmia detection processing and notice processing
`may be carried out in parallel. The pulse wave detecting
`means may be composed of a pressure pulse wave sensor
`which employs pressure to detect
`the arterial pulse.
`Alternatively,
`the pulse wave detecting means may be
`designed so as to receive the light reflected when the
`detection site on the body is irradiated with light having a
`wavelength of 300 to 700 nm, and detect the received light
`signal as a pulse waveform. It is also acceptable that the
`pulse wave detecting means be designed to receive trans-
`
`10
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`
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`
`4
`mitted light when the detection site is irradiated with light
`having a wavelength of 600 to 1000 nm, and detect the
`received light signal as the pulse waveform.
`BRIEF DESCRIPTION OF THE FIGURES
`
`FIG. 1 is a block diagram showing an overview of the
`structure of an arrhythmia detecting apparatus founded on
`the basic technical concept of the present invention.
`FIG. 2 is a block diagram showing an example of the
`structure of an arrhythmia detecting apparatus according to
`the first preferred embodiment of the present invention.
`FIG. 3 is a slant view showing an example of the outer
`appearance of the same apparatus.
`FIG. 4 is a block diagram showing an example of the
`results of frequency analysis of the fingertip plethysmogram
`when arrhythmia is not present.
`FIG. 5 is a block diagram showing an example of the
`results of frequency analysis of the fingertip plethysmogram
`when arrhythmia is present.
`FIG. 6 is a block diagram showing an example of the
`results of frequency analysis of the radius artery pulse wave
`when arrhythmia is not present.
`FIG. 7 is a block diagram showing an example of the
`results of frequency analysis of the radius artery pulse wave
`when arrhythmia is present.
`FIG. 8 is a flow chart showing an example of the pulse
`waveform detection operation according to the first pre-
`ferred embodiment of the present invention.
`FIG. 9A shows an example of the signal obtained by
`adding frequency fA and frequency f3. FIG. 9B is a graph
`showing an example of the result obtained after performing
`FFT on the aforementioned added signal.
`FIGS. 10A, 10B and 10C are graphs showing an example
`of the result obtained after performing FFT on the signals
`output from the pulse wave sensor and the body motion
`sensor when the subject is exercising.
`FIG. 11 is a flow chart showing an example of the method
`for specifying the pulse wave component in the arrhythmia
`detecting apparatus according to a first preferred embodi-
`ment of the present invention.
`FIG. 12 is a flow chart showing an example of the method
`for specifying the pulse wave component
`in this same
`apparatus.
`FIG. 13 is a graph showing an example of the result
`obtained when FFT is performed on the signal output from
`the body motion sensor.
`FIG. 14 is a flow chart showing an example of the method
`for specifying the pulse wave component in the arrhythmia
`detecting apparatus according to a first preferred embodi-
`ment of the present invention.
`FIG. 15 is a flow chart showing an example of the method
`for specifying a pulse wave component in this same appa-
`ratus.
`
`FIG. 16 is a flow chart showing an example of the
`operation to detect the pulse waveform in the arrhythmia
`detecting apparatus according to a second preferred embodi-
`ment of the present invention.
`FIG. 17 is a cross-sectional view showing an example of
`installation in the case where a piezo element is employed as
`the notifying means.
`FIG. 18 shows a face chart which may be employed as a
`modification in each of the embodiments of the present
`invention.
`
`FIG. 19 shows the structure of a system employing the
`arrhythmia detecting apparatus according to each of the
`embodiments of the present invention.
`46
`
`46
`
`

`

`6,095,984
`
`5
`FIG. 20 is a functional block diagram for the arrhythmia
`detecting apparatus according to the third through fifth
`preferred embodiments of the present invention.
`FIG. 21 is a slant view of the arrhythmia detecting
`apparatus according to the third embodiment of the present
`invention.
`
`FIGS. 22A and 22B are explanatory figures showing the
`state of the arrhythmia detecting apparatus according to this
`embodiment at the time of use.
`
`10
`
`FIG. 23 is a block diagram showing the electrical struc-
`ture of the arrhythmia detecting apparatus according to this
`embodiment.
`
`FIG. 24 is a block diagram showing the detailed structure
`of the wavelet transform element according to this embodi-
`ment.
`
`15
`
`FIGS. 25A, 25B, 25C and 25D are timing charts for the
`wavelet transform element according to this embodiment.
`FIG. 26 is a block diagram showing the detailed structure
`of the decision element according to this same embodiment.
`FIG. 27 shows the details of memory 124 according to
`this same embodiment.
`
`FIGS. 28A, 28B, 28C, 28D, 28E and 28F are timing
`charts for explaining the operation of this embodiment.
`FIG. 29 is an explanatory figure showing the state of the
`arrhythmia detecting apparatus according to the fourth pre-
`ferred embodiment of the present invention at the time of
`use.
`
`FIG. 30 is a block diagram showing the electrical struc-
`ture of the arrhythmia detecting apparatus according to this
`same embodiment.
`
`FIGS. 31A, 31B and 31C are waveform diagrams show-
`ing the body motion waveform and the pulse waveform
`according to this same embodiment.
`FIGS. 32A, 32B, 32C, 32D, 32E and 32F are timing
`charts for explaining the operation of this same embodiment.
`FIG. 33 is a block diagram showing the electrical struc-
`ture of the arrhythmia detecting apparatus according to the
`fifth preferred embodiment of the present invention.
`FIG. 34 is a circuit diagram showing the structure of body
`motion separator 19 according to this same embodiment.
`FIGS. 35A, 35B, 35C, 35D and 35E are timing charts for
`explaining the operation of this same embodiment.
`FIG. 36 is a block diagram showing the structure of the
`filter bank in a modification.
`
`FIG. 37 is a circuit diagram of the photoelectric pulse
`wave sensor according to a modification.
`FIGS. 38A and 38B are figures for explaining the state of
`the photoelectric pulse wave sensor when in use, according
`to a modification.
`
`FIG. 39 is a slant view showing a modification in which
`an apparatus connected to a photoelectric pulse wave sensor
`is attached to a pair of eyeglasses.
`FIG. 40 is a circuit diagram for the first wavelet trans-
`forming means according to a modification.
`FIG. 41 is a figure for explaining the relationship between
`beat number and pitch in the modification.
`FIGS. 42A and 42B shows the pulse waveform, 42A
`showing a normal pulse wave and 42B showing an arrhyth-
`mia pulse wave.
`FIGS. 43A, 43B and 43C are figures showing an example
`of the notifying means according to the present invention,
`wherein 43A, 43B and 43C show monthly, weekly and
`hourly histograms, respectively.
`
`20
`
`25
`
`30
`
`35
`
`40
`
`45
`
`50
`
`55
`
`60
`
`65
`
`6
`FIG. 44 is a figure showing an example of the time stamp
`which is recorded in the present invention.
`
`DESCRIPTION OF THE PREFERRED
`EMBODIMENTS
`
`Preferred embodiments of the present invention will now
`be explained with reference given to the figures.
`Before explaining the preferred embodiments of the
`present invention, however, a discussion will first be made
`of the basic technical concepts of the present invention.
`Ordinarily, there is a difference between exercising and
`non-exercising pulse rate. In either case, however, provided
`the individual
`is healthy,
`it
`is unusual for the pulse to
`fluctuate sharply. Rather, the change over time in the pulse
`waveform is continuous (regular). In contrast, while various
`types of pulse waveforms may characterize an arrhythmia, in
`all cases,
`the continuity of change is disrupted, or cut.
`Accordingly, by detecting irregular change in the pulse
`waveform, it is possible to detect the occurrence of arrhyth-
`mia. This fact comprises the basic technical concept of the
`present invention.
`FIG. 1 shows an overview of the structure of an arrhyth-
`mia detecting apparatus based on this technical concept. The
`arrhythmia detecting apparatus in this figure is provided
`with a pu