# US 2019/0167208 A1 · Bio-information processing apparatus and bio-information processing method

> Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt

- Number: US 2019/0167208 A1
- Document ID: US20190167208A1
- Status: Published application
- Kind: A1
- Application number: 16/206,087
- Filed: 2018-11-30
- Published: 2019-06-06
- Earliest claimed: 2017-12-01
- Assignees: Samsung Electronics Co., Ltd.
- Applicants: Samsung Electronics Co., Ltd.
- Inventors: Yeol Ho LEE; Kak NAMKOONG; Myoung Hoon JUNG; Won Jong JUNG
- Web page: https://patentgrep.com/patent/US20190167208A1

## CPC

- A61B 5/7278: {Artificial waveform generation or derivation, e.g. synthesizing signals from measured signals}
- A61B 5/0537: Measuring body composition by impedance, e.g. tissue hydration or fat content
- A61B 5/1123: {Discriminating type of movement, e.g. walking or running (A61B5/1116, A61B5/112 take precedence)}
- A61B 5/1477: non-invasive
- A61B 5/486: {Biofeedback (using electroencephalography [EEG] A61B5/375)}
- A61B 5/4875: {Hydration status, fluid retention of the body}
- A61B 5/681: {Wristwatch-type devices}
- A61B 5/7275: {Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor}
- A61B 5/7425: {Displaying combinations of multiple images regardless of image source, e.g. displaying a reference anatomical image with a live image}
- A61B 5/746: {Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms}
- A61B 5/7475: {User input or interface means, e.g. keyboard, pointing device, joystick}
- G16H 50/30: for calculating health indices; for individual health risk assessment
- G16H 50/20: for computer-aided diagnosis, e.g. based on medical expert systems
- A61B: DIAGNOSIS; SURGERY; IDENTIFICATION (usefulness limited to only animals A61D)
- G16H: HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA

## Abstract

A bio-information processing apparatus may include: a main body; a strap which is connected to both ends of the main body; an impedance measurer configured to measure a bio-impedance of a user while the main body and the strap are in contact with the user; and a processor configured to estimate a body water amount of the user by applying the measured bio-impedance to a body water estimation model.

## Claims

### Claim 1

A bio-information processing apparatus comprising:
a main body;
a strap which is connected to both ends of the main body;
an impedance measurer configured to measure a bio-impedance of a user while the main body and the strap are in contact with the user; and
a processor configured to estimate a body water amount of the user by applying the measured bio-impedance to a body water estimation model.

### Claim 2 (depends on 1)

The bio-information processing apparatus of claim 1, wherein the processor is further configured to convert the measured bio-impedance into at least one of a linear expression, a fractional expression, and an exponential expression, and estimate the body water amount of the user by applying the converted bio-impedance to the body water estimation model.

### Claim 3 (depends on 1)

The bio-information processing apparatus of claim 1, further comprising an input interface configured to input at least one of user information and a usage mode,
wherein the user information comprises at least one of a gender of the user, an age of the user, a stature of the user, a weight of the user, a body mass index (BMI) of the user, and measurement position of the user.

### Claim 4 (depends on 3)

The bio-information processing apparatus of claim 3, wherein the processor is further configured to apply a weighted value to at least one of the user information and the measured bio-impedance, and estimate the body water amount by applying a result, which is obtained by applying the weighted value to the at least one of the user information and the measured bio-impedance, to the body water estimation model.

### Claim 5 (depends on 3)

The bio-information processing apparatus of claim 3, wherein the usage mode comprises a normal mode, an exercise mode, and a patient mode.

### Claim 6 (depends on 5)

The bio-information processing apparatus of claim 5, wherein the processor is further configured to, in response to the usage mode being the normal mode, generate water intake guidance information based on the input user information and the estimated body water amount.

### Claim 7 (depends on 5)

The bio-information processing apparatus of claim 5, wherein the processor is further configured to, in response to the usage mode being the exercise mode, continuously estimate a change in the estimated body water amount, and in response to the change in the estimated body water amount exceeding a predetermined threshold value, generate warning information.

### Claim 8 (depends on 5)

The bio-information processing apparatus of claim 5, wherein the processor is further configured to, in response to the usage mode being the patient mode, generate at least one of a prediction index of diseases, which include liver cirrhosis, intercapillary glomerulosclerosis, and edema, and prognosis evaluation information of a surgical operation field based on the input user information and the estimated body water amount.

### Claim 9 (depends on 1)

The bio-information processing apparatus of claim 1, wherein the processor is further configured to determine whether the user takes a break by monitoring movement of the user, and generate an alarm to induce measurement of the body water amount in response to determining that the user takes the break.

### Claim 10 (depends on 1)

The bio-information processing apparatus of claim 1, wherein the impedance measurer comprises:
a first rear surface electrode and a second rear surface electrode which are disposed on a rear surface of the main body to directly come into contact with the user; and
a first front surface electrode and a second front surface electrode which are disposed on a front surface of the main body to come into contact with the user when body composition of the user is measured, and which are arranged to be touchable by a single finger of the user.

### Claim 11 (depends on 10)

The bio-information processing apparatus of claim 10, wherein the impedance measurer is further configured to apply a current through the first rear surface electrode and the first front surface electrode, and measure the bio-impedance by measuring voltage between the second rear surface electrode and the second front surface electrode.

### Claim 12 (depends on 10)

The bio-information processing apparatus of claim 10, wherein each of the first front surface electrode, the second front surface electrodes, the first rear surface electrode, and the second rear surface electrode is formed in at least one shape of a square, a circle, a concentric circle, and a semi-circle.

### Claim 13 (depends on 1)

The bio-information processing apparatus of claim 1, further comprising an output interface configured to output at least one of a body water amount, a daily water intake amount, a recommended fluid intake amount, water intake guidance information, warning information, and a prediction index of diseases.

### Claim 14

A bio-information processing method comprising:
measuring a bio-impedance; and
converting the measured bio-impedance into at least one of a linear expression, a fractional expression, and an exponential expression; and
estimating a body water amount of a user by applying the converted bio-impedance to a body water estimation model.

### Claim 15 (depends on 14)

The bio-information processing method of claim 14, further comprising inputting at least one of user information and a usage mode,
wherein the user information comprises at least one of a gender of the user, an age of the user, a stature of the user, a weight of the user, a body mass index (BMI) of the user, and a measurement position of the user.

### Claim 16 (depends on 15)

The bio-information processing method of claim 15, wherein the estimating the body water amount comprises:
applying a weighted value to at least one of the user information and the measured bio-impedance; and
estimating the body water amount by applying a result, which is obtained by applying the weighted value to the at least one of the user information and the measured bio-impedance, to the body water estimation model.

### Claim 17 (depends on 15)

The bio-information processing method of claim 15, further comprising, in response to the usage mode being a normal mode, generating water intake guidance information based on the user information and the estimated body water amount.

### Claim 18 (depends on 15)

The bio-information processing method of claim 15, further comprising, in response to the usage mode being an exercise mode, continuously estimating a change in the estimated body water amount, and in response to the change in the estimated body water amount exceeding a predetermined threshold value, generating warning information.

### Claim 19 (depends on 15)

The bio-information processing method of claim 15, further comprising, in response to the usage mode being a patient mode, generating at least one of a prediction index of diseases, which include liver cirrhosis, intercapillary glomerulosclerosis, and edema, and prognosis evaluation information of a surgical operation field based on the user information and the estimated body water amount.

### Claim 20 (depends on 14)

The bio-information processing method of claim 14, further comprising outputting at least one of a body water amount, a daily water intake amount, a recommended fluid intake amount, water intake guidance information, warning information, and a prediction index of diseases.
