Scale-type nonconstrained health condition evaluating apparatus and method
First Claim
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1. A scale-type nonconstrained health condition evaluating apparatus loaded on at least one hardware processor and comprising:
- a load cell sensor which is loaded on the at least one hardware processor and senses a ballistocardiogram signal and a weight signal from a measured person;
an electrocardiogram sensor which is loaded on the at least one hardware processor and senses an electrocardiogram signal from the measured person; and
a signal processor which is loaded on the at least one hardware processor and calculates at least one of the heart rate, normalized stroke volume force, blood pressure and equilibrium sense abnormality of the measured person from the ballistocardiogram, weight and electrocardiogram signals sensed by the load cell sensor and the electrocardiogram sensor,wherein the load cell sensor is configured to be placed under feet of the measured person in a standing position or under hips of the measured person in a sitting position,wherein the signal processor comprises;
a signal amplifier which amplifies the ballistocardiogram and electrocardiogram signals sensed by the load cell sensor and the electrocardiogram sensor;
a band pass filter which filters only necessary bands of the ballistocardiogram and electrocardiogram signals amplified by the signal amplifier;
an A/D converter which converts the ballistocardiogram and electrocardiogram signals filtered by the band pass filter into digital signals; and
a computing unit which calculates at least one of the heart rate, normalized stroke volume force, blood pressure and equilibrium sense abnormality of the measured person from the weight of the measured person, sensed by the load cell sensor, the ballistocardiogram and electrocardiogram signals converted into the digital signals by the A/D converter,wherein the computing unit synchronizes the electrocardiogram signal with the ballistocardiogram signal based on the J waves of the ballistocardiogram signal to obtain an ensemble average so as to generate averaged electrocardiogram and ballistocardiogram signals,wherein the computing unit detects an R-J interval from the averaged ballistocardiogram and electrocardiogram signals and calculates the blood pressure of the measured person from a regression equation derived from data about correlation of the R-J interval and a systolic blood pressure as follows;
SBP(n)=−
803.6091×
RJI(n)+349.6055wherein SBP(n) represents an average blood pressure for n strokes of the measured person, and RJI(n) denotes an average R-J interval, andwherein a display displays the resulting detected R-J interval from the averaged ballistocardiogram and electrocardiogram signals and calculated blood pressure of the measured person from the regression equation for health compliancy.
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Abstract
A scale-type nonconstrained health condition evaluating apparatus includes a load cell sensor for sensing a ballistocardiogram signal and a weight signal from a measured person, an electrocardiogram sensor for sensing an electrocardiogram signal from the measured person, and a signal processor for calculating at least one of the heart rate, normalized stroke volume force, blood pressure and equilibrium sense abnormality of the measured person from the ballistocardiogram, weight and electrocardiogram signals sensed by the load cell sensor and the electrocardiogram sensor.
33 Citations
12 Claims
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1. A scale-type nonconstrained health condition evaluating apparatus loaded on at least one hardware processor and comprising:
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a load cell sensor which is loaded on the at least one hardware processor and senses a ballistocardiogram signal and a weight signal from a measured person; an electrocardiogram sensor which is loaded on the at least one hardware processor and senses an electrocardiogram signal from the measured person; and a signal processor which is loaded on the at least one hardware processor and calculates at least one of the heart rate, normalized stroke volume force, blood pressure and equilibrium sense abnormality of the measured person from the ballistocardiogram, weight and electrocardiogram signals sensed by the load cell sensor and the electrocardiogram sensor, wherein the load cell sensor is configured to be placed under feet of the measured person in a standing position or under hips of the measured person in a sitting position, wherein the signal processor comprises; a signal amplifier which amplifies the ballistocardiogram and electrocardiogram signals sensed by the load cell sensor and the electrocardiogram sensor; a band pass filter which filters only necessary bands of the ballistocardiogram and electrocardiogram signals amplified by the signal amplifier; an A/D converter which converts the ballistocardiogram and electrocardiogram signals filtered by the band pass filter into digital signals; and a computing unit which calculates at least one of the heart rate, normalized stroke volume force, blood pressure and equilibrium sense abnormality of the measured person from the weight of the measured person, sensed by the load cell sensor, the ballistocardiogram and electrocardiogram signals converted into the digital signals by the A/D converter, wherein the computing unit synchronizes the electrocardiogram signal with the ballistocardiogram signal based on the J waves of the ballistocardiogram signal to obtain an ensemble average so as to generate averaged electrocardiogram and ballistocardiogram signals, wherein the computing unit detects an R-J interval from the averaged ballistocardiogram and electrocardiogram signals and calculates the blood pressure of the measured person from a regression equation derived from data about correlation of the R-J interval and a systolic blood pressure as follows;
SBP(n)=−
803.6091×
RJI(n)+349.6055wherein SBP(n) represents an average blood pressure for n strokes of the measured person, and RJI(n) denotes an average R-J interval, and wherein a display displays the resulting detected R-J interval from the averaged ballistocardiogram and electrocardiogram signals and calculated blood pressure of the measured person from the regression equation for health compliancy. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A method for calculating blood pressure of a measured person by using an R-J interval, the method implemented in a scale-type nonconstrained health condition evaluating apparatus loaded on at least one hardware processor and comprising:
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detecting, by a signal processor loaded on the at least one hardware processor, the R-J interval from ballistocardiogram and electrocardiogram signals measured from the measured person; and calculating, by the signal processor, the blood pressure of the measured person according to a regression equation derived from data about correlation of the R-J interval and a systolic blood pressure as follows;
SBP(n)=−
803.6091×
RJI(n)+349.6055wherein SBP(n) represents an average blood pressure for n strokes of the measured person, and RJI(n) denotes an average R-J interval, wherein the scale-type nonconstrained health condition evaluating apparatus is configured to be placed under feet of the measured person in a standing position or under hips of the measured person in a sitting position. - View Dependent Claims (12)
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Specification
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Current AssigneeSeoul National University R&DB Foundation (Seoul National University)
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Original AssigneeSeoul National University R&DB Foundation (Seoul National University)
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InventorsShin, Jae Hyuk, Park, Kwang Suk
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Primary Examiner(s)Nguyen, Hiep V
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Assistant Examiner(s)WILLIAMS, TERESA S
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Application NumberUS12/425,955Publication NumberTime in Patent Office2,160 DaysField of Search705/2, 705/3, 128/714, 600/500, 600/509, 600300-301, 600/407, 600527-529, 600/481, 600/483, 600/485US Class Current705/2CPC Class CodesA61B 5/0205 Simultaneously evaluating b...A61B 5/1102 BallistocardiographyA61B 5/318 Heart-related electrical mo...A61B 5/4023 Evaluating sense of balanceA61B 5/6825 HandA61B 5/6829 Foot or ankleG01G 19/4146 for controlling caloric int...
