CN113331801A - Old people asthenia analysis system based on smart band and smart phone - Google Patents
Old people asthenia analysis system based on smart band and smart phone Download PDFInfo
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- CN113331801A CN113331801A CN202110629046.XA CN202110629046A CN113331801A CN 113331801 A CN113331801 A CN 113331801A CN 202110629046 A CN202110629046 A CN 202110629046A CN 113331801 A CN113331801 A CN 113331801A
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
- A61B5/02055—Simultaneously evaluating both cardiovascular condition and temperature
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/01—Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/48—Other medical applications
- A61B5/4806—Sleep evaluation
- A61B5/4815—Sleep quality
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
- A61B5/6802—Sensor mounted on worn items
- A61B5/681—Wristwatch-type devices
Abstract
The invention discloses an old people asthenia disease analysis system based on an intelligent bracelet and an intelligent mobile phone, and aims to solve the problem of low accuracy of diagnosis results in the prior art.
Description
Technical Field
The invention belongs to a disease diagnosis system, and particularly relates to an old people asthenia analysis system based on an intelligent bracelet and an intelligent mobile phone.
Background
Asthenia is also called as asthenia syndrome, and is manifested by decline of physiological ability of the old in multiple systems such as neuromuscular, metabolic and immune systems, so that the old is reduced in stress resistance, and risk probability of adverse events is improved.
In the prior art, the medical diagnosis criteria for asthenia include phenotypes such as FI, TFI, fred and FRAIL Scale, and the diagnosis criteria include the following 5 indexes: 1. weight loss of more than 4.5 kg a year without active diet or exercise is not known; 2. the fatigue feeling is increased, and the simple housework of sweeping the floor can feel labored; 3. the grip strength is reduced; 4. decreased pace (pace less than 0.65 m/s for men over 60 years old, less than 0.6 m/s for women); 5. low physical ability state. If the old seems healthy, but meets 3 of the 5 standards, the old can be judged as the asthenia syndrome; if 1-2 strips appear, the disease belongs to the early stage of the asthenia syndrome.
However, the prior art is not perfect, the diagnosis of the asthenia of the old people is only carried out according to the subjective answer of the old people, and the problem of low accuracy of the diagnosis result exists.
Summary of the invention
In order to overcome the defects and problems in the prior art, the invention provides the senile debilitation analysis system based on the intelligent bracelet and the intelligent mobile phone.
In order to achieve the purpose, the invention adopts the following technical scheme:
an elderly people asthenia disease analysis system based on a smart bracelet and a smart phone comprises the smart bracelet, wherein the smart bracelet is in communication connection with the smart phone, the smart phone is in communication connection with a data center, the data center is in communication connection with a data analysis device, and the data analysis device is in communication connection with the smart phone;
the intelligent bracelet comprises a sensor module, wherein the sensor module is used for acquiring original sign data of a user;
the smart phone comprises a touch screen, wherein the touch screen is used for collecting the weakening gauge data of the user and displaying the normal sign data and the comprehensive diagnosis report of the user;
the data center comprises a cleaning module and a file module, the cleaning module is used for cleaning original sign data of a user and obtaining normal sign data, and the file module is used for classifying the normal sign data and the weakening gauge data of the user and storing the normal sign data and the weakening gauge data into a user file;
the data analysis device comprises a sign analysis module, a weakening scale analysis module and a comprehensive evaluation module, wherein the sign analysis module analyzes normal sign data in the user file and generates a sign state result, the weakening scale analysis module is used for analyzing the weakening scale data in the user file and generating a weakening state result, and the comprehensive evaluation module is used for analyzing and generating a comprehensive diagnosis report according to the sign state result and the weakening state result.
Preferably, the sensor module includes a heart rate sensor, a step-counting sensor, a temperature sensor, a blood pressure sensor and a sleep sensor, the heart rate sensor is used for acquiring the heart rate of the user, the step-counting sensor is used for acquiring the walking speed of the user, the temperature sensor is used for acquiring the body temperature of the user, the blood pressure sensor is used for acquiring the blood pressure of the user, and the sleep sensor is used for acquiring the sleep time of the user.
Preferably, the physical sign analysis module includes a motion analysis unit and a body analysis unit, the motion analysis unit analyzes the normal walking speed data in the user profile and generates a motion state result, the body analysis unit analyzes the normal heart rate, the body temperature, the blood pressure and the sleep quality in the user profile and generates a body state result, and the motion state result and the body state structure form a physical sign state result.
Preferably, the smart phone comprises a position sensor, the position sensor is used for collecting position data of the user, and the archive module is further used for classifying the position data of the user and storing the position data into a user archive.
Preferably, the touch screen is further used for presetting a detection period, the smart band collects physical sign data of the user according to the preset detection period, and the smart phone also collects position data of the user according to the preset detection period.
Preferably, the touch screen collects the weakening gauge data of the user by using at least one of an FP weakening gauge, a FI weakening gauge, an FRAIL SCALE weakening gauge and a TFI weakening gauge.
Preferably, the cleaning module is preset with a sign threshold, when the original sign data is within the sign threshold range, the original sign data is normal sign data, when the original sign data is outside the sign threshold range, the original sign data is abnormal sign data, and the cleaning module deletes the abnormal sign data.
Preferably, the profile module stores the user profile in a text format.
Preferably, the comprehensive evaluation module is further configured to analyze and generate a medical guide service report according to the comprehensive diagnosis report, and the touch screen is further configured to display the medical guide service report.
Compared with the prior art, the invention has the outstanding and beneficial technical effects that:
(1) in the old people asthenia analysis system based on the smart bracelet and the smart phone, the physical sign state result is generated by analyzing objective normal physical sign data of a user, the normal physical sign data are subjected to data cleaning, abnormal original physical sign data are deleted, the asthenia state result is generated by analyzing subjective asthenia scale data of the user, the comprehensive diagnosis report is generated by analyzing the physical sign state result and the asthenia state result, and the deviation existing in the comprehensive diagnosis report is reduced.
(2) In this weak disease analytic system of old person based on smart bracelet and smart mobile phone, adopt smart bracelet and smart mobile phone to gather user's original sign data, weak scale data according to gathering cycle, upload to data center and data analysis device and generate comprehensive diagnosis report and guide doctor's service report again, show for the user on smart mobile phone best, therefore this weak disease analytic system of old person based on smart bracelet and smart mobile phone has real-time diagnosis, the diagnosis of being convenient for and disease prevention and control nature strong advantage.
(3) In the old people asthenia disease analysis system based on the smart band and the smart phone, diagnosis and report of the asthenia disease are realized by the smart band, the smart phone, the data center and the data analysis device, the burden of doctors is reduced, and medical resources are saved.
Drawings
FIG. 1 is a schematic diagram of the circuit structure of the present invention;
fig. 2 is a schematic circuit structure diagram of the smart bracelet created by the present invention;
fig. 3 is a schematic circuit structure diagram of the smart phone created by the present invention;
FIG. 4 is a schematic diagram of the circuit structure of the data center created by the present invention;
FIG. 5 is a schematic circuit diagram of the data analysis device according to the present invention;
in the figure: 1-smart bracelet, 2-smart phone, 3-data center, 4-data analysis device, 11-first control module, 12-first communication module, 13-sensor module, 131-heart rate sensor, 132-step counting sensor, 133-temperature sensor, 134-blood pressure sensor, 135-sleep sensor, 21-second control module, 22-second communication module, 23-touch screen, 24-position sensor, 31-third control module, 32-third communication module, 33-cleaning module, 34-archive module, 41-fourth control module, 42-sign analysis module, 43-scale weakness analysis module, 44-comprehensive evaluation module, 45-fourth communication module, 45-data center, 4-data analysis device, 421-motion analysis unit, 422-body analysis unit.
Detailed Description
In order to facilitate the understanding of those skilled in the art, the invention will be further described with reference to the accompanying drawings and specific embodiments.
As shown in fig. 1-5, a weak illness analytic system of old person based on intelligent bracelet and smart mobile phone, including intelligent bracelet 1, intelligent bracelet 1 communication connection has smart mobile phone 2, and 2 communication connections of smart mobile phone have data center 3, and 3 communication connections of data center have data analysis device 4, and 4 communication connections of data analysis device are on smart mobile phone 2.
Specifically, smart bracelet 1 and smart mobile phone 2 are in communication connection through the mode of bluetooth, and smart mobile phone 2 and data center 3 are in communication connection through the mode of mobile network. Smart bracelet 1 includes first communication module 12, and smart mobile phone 2 includes second communication module 22, and first communication module 12 communication connection is on second communication module 22, and data center 3 includes third communication module 32, and third communication module 32 communication connection is on second communication module 22, and data analysis device 4 includes fourth communication module 45, and fourth communication module 45 is communication connection respectively on third communication module 32 and second communication module 22.
The smart phone 2 further comprises a second control module 21, a touch screen 23 and a position sensor 24, the second control module 21 is connected with the second communication module 22, the touch screen 23 and the position sensor 24 respectively, the touch screen 23 is used for collecting the weakening scale data of the user, specifically, the touch screen 23 collects the weakening scale data of the user by adopting at least one of an FP weakening scale, an FI weakening scale, an FRAIL SCALE weakening scale and a TFI weakening scale, the touch screen 23 is further used for displaying the normal sign data, the comprehensive diagnosis report and the medical guidance service report of the user, the position sensor 24 is used for collecting the position data of the user, the touch screen 23 is further used for presetting a detection period, the smart bracelet 1 collects the sign data of the user according to the preset detection period, and the smart phone 2 also collects the position data of the user according to the preset detection period.
Specifically, the cleaning module 33 is preset with a sign threshold, when the original sign data is within the sign threshold range, the original sign data is normal sign data, when the original sign data is outside the sign threshold range, the original sign data is abnormal sign data, and the cleaning module 33 deletes the abnormal sign data.
The data analysis device 4 comprises a fourth control module 41, a sign analysis module 42, a weakness scale analysis module 43 and a comprehensive evaluation module 44, the fourth control module 41 is respectively connected with a fourth communication module 45, the sign analysis module 42, the weakness scale analysis module 43 and the comprehensive evaluation module 44, the sign analysis module 42 analyzes normal sign data in a user file and generates a sign state result, the weakness scale analysis module 43 is used for analyzing the weakness scale data in the user file and generating a weakness state result, the comprehensive evaluation module 44 is used for analyzing and generating a comprehensive diagnosis report according to the sign state result and the weakness state result, and the comprehensive evaluation module 44 is further used for analyzing and generating a medical guide service report according to the comprehensive diagnosis report.
Specifically, the sign analysis module 42 includes a motion analysis unit 421 and a body analysis unit 422, the motion analysis unit 421 analyzes the normal walking speed data in the user profile and generates a motion state result, the body analysis unit 422 analyzes the normal heart rate, the body temperature, the blood pressure, and the sleep quality in the user profile and generates a body state result, and the motion state result and the body state structure form a sign state result.
The basic flow of using this weak disease analytic system of old person based on intelligent bracelet and smart mobile phone is:
s1: acquiring original sign data, weakness scale data and position data of a user according to a preset detection period, wherein the original sign data comprises heart rate, walking speed, body temperature, blood pressure and sleeping time;
s2: cleaning original sign data of a user to obtain normal sign data, comparing the original sign data with a preset sign threshold, wherein when the original sign data is within the sign threshold range, the original sign data is normal sign data, and when the original sign data is outside the sign threshold range, the original sign data is abnormal sign data, and the cleaning module 33 deletes the abnormal sign data;
s3: classifying the normal sign data, the position data and the weakness scale data of the user and storing the normal sign data, the position data and the weakness scale data into a user file;
s4: analyzing normal sign data in the user file and generating a sign state result, analyzing the wilting scale data in the user file and generating a wilting state result, analyzing and generating a comprehensive diagnosis report according to the sign state result and the wilting state result, and analyzing and generating a medical guide service report according to the comprehensive diagnosis report.
S5: and displaying the normal sign data, the comprehensive diagnosis report and the medical guidance service report to the user.
In the old people asthenia analysis system based on the smart bracelet and the smart phone, the physical sign state result is generated by analyzing objective normal physical sign data of a user, the normal physical sign data are subjected to data cleaning, abnormal original physical sign data are deleted, the asthenia state result is generated by analyzing subjective asthenia scale data of the user, the comprehensive diagnosis report is generated by analyzing the physical sign state result and the asthenia state result, and the deviation existing in the comprehensive diagnosis report is reduced.
In this weak disease analytic system of old person based on smart bracelet and smart mobile phone, adopt smart bracelet 1 and smart mobile phone 2 to gather user's original sign data, weak scale data according to gathering cycle, upload to data center 3 and data analysis device 4 and generate comprehensive diagnosis report and guide's doctor service report again, show for the user on smart mobile phone 2 best, therefore this weak disease analytic system of old person based on smart bracelet and smart mobile phone has real-time diagnosis, be convenient for the diagnosis and the strong advantage of disease prevention and control nature.
In the old people asthenia disease analysis system based on the smart bracelet and the smart phone, diagnosis and report of the asthenia disease are realized by the smart bracelet 1, the smart phone 2, the data center 3 and the data analysis device 4, the burden of doctors is lightened, and medical resources are saved.
The above embodiments are only preferred embodiments of the present invention, and the protection scope of the present invention is not limited thereby, so: all equivalent changes made according to the structure, shape and principle of the invention shall be covered within the protection scope of the invention.
Claims (9)
1. The senile asthenia analysis system based on the smart bracelet and the smart phone is characterized by comprising the smart bracelet (1), wherein the smart bracelet (1) is in communication connection with the smart phone (2), the smart phone (2) is in communication connection with the data center (3), the data center (3) is in communication connection with the data analysis device (4), and the data analysis device (4) is in communication connection with the smart phone (2);
the intelligent bracelet (1) comprises a sensor module (13), wherein the sensor module (13) is used for collecting original physical sign data of a user;
the smart phone (2) comprises a touch screen (23), the touch screen (23) is used for collecting the weakening scale data of the user, and the touch screen (23) is also used for displaying the normal sign data and the comprehensive diagnosis report of the user;
the data center (3) comprises a cleaning module (33) and a file module (34), the cleaning module (33) is used for cleaning original sign data of a user and obtaining normal sign data, and the file module (34) is used for classifying the normal sign data and the weakening scale data of the user and storing the normal sign data and the weakening scale data into a user file;
the data analysis device (4) comprises a sign analysis module (42), a weakening scale analysis module (43) and a comprehensive evaluation module (44), the sign analysis module (42) analyzes normal sign data in a user file and generates a sign state result, the weakening scale analysis module (43) is used for analyzing the weakening scale data in the user file and generating a weakening state result, and the comprehensive evaluation module (44) is used for analyzing and generating a comprehensive diagnosis report according to the sign state result and the weakening state result.
2. The senile asthenia analysis system based on the smart band and the smart phone as claimed in claim 1, wherein the sensor module (13) comprises a heart rate sensor (131), a step counting sensor (132), a temperature sensor (133), a blood pressure sensor (134) and a sleep sensor (135), the heart rate sensor (131) is used for collecting the heart rate of the user, the step counting sensor (132) is used for collecting the walking speed of the user, the temperature sensor (133) is used for collecting the body temperature of the user, the blood pressure sensor (134) is used for collecting the blood pressure of the user, and the sleep sensor (135) is used for collecting the sleep time of the user.
3. The system for analyzing senile asthenia based on smart band and smart phone as claimed in claim 2, wherein the physical sign analysis module (42) comprises a motion analysis unit (421) and a body analysis unit (422), the motion analysis unit (421) analyzes the normal walking speed data in the user profile and generates a motion state result, the body analysis unit (422) analyzes the normal heart rate, body temperature, blood pressure and sleep quality in the user profile and generates a body state result, and the motion state result and the body state structure constitute a physical sign state result.
4. The system for analyzing senile asthenia based on smart band and smart phone as claimed in claim 1, wherein the smart phone (2) comprises a position sensor (24), the position sensor (24) is used for collecting position data of the user, the archive module (34) is further used for classifying the position data of the user and storing the position data into a user archive.
5. The elderly people asthenia analysis system based on smart band and smart phone of claim 4, wherein the touch screen (23) is further used for presetting a detection period, the smart band (1) collects physical sign data of a user according to the preset detection period, and the smart phone (2) also collects position data of the user according to the preset detection period.
6. The elderly people weakening disease analysis system based on smart band and smart phone as claimed in claim 1 or 4 or 5, characterized in that the touch screen (23) adopts at least one of FP weakening scale, FI weakening scale, FRAIL SCALE weakening scale and TFI weakening scale to collect weakening scale data of user.
7. The senile asthenia analysis system based on the smart band and the smart phone as claimed in claim 1, wherein the cleaning module (33) is preset with a sign threshold, when the original sign data is within the sign threshold range, the original sign data is normal sign data, when the original sign data is outside the sign threshold range, the original sign data is abnormal sign data, and the cleaning module (33) deletes the abnormal sign data.
8. The system for analyzing senile debilitation based on smart band and smart phone as claimed in claim 1, characterized in that said archive module (34) stores user's archive in text format.
9. The system for analyzing senile asthenia disease based on smart band and smart phone as claimed in claim 1, wherein said comprehensive evaluation module (44) is further used for analyzing and generating medical guidance service report according to comprehensive diagnosis report, and the touch screen (23) is further used for displaying medical guidance service report.
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Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040267099A1 (en) * | 2003-06-30 | 2004-12-30 | Mcmahon Michael D. | Pain assessment user interface |
| RU2011113336A (en) * | 2011-04-06 | 2012-10-20 | Государственное образовательное учреждение высшего профессионального образования "Воронежская государственная медицинская академия | METHOD FOR IDENTIFYING OVERFATURES AND PERFORMANCE OF PROFESSIONALLY SIGNIFICANT PSYCHOPHYSIOLOGICAL FUNCTIONS IN PERSONS OF OPERATOR PROFESSIONS |
| CN106169031A (en) * | 2016-08-03 | 2016-11-30 | 董碧蓉 | Old people's medical health based on high in the clouds assessment system and method |
| CN108806794A (en) * | 2018-05-29 | 2018-11-13 | 广东医科大学 | A kind of assessment system of the weak index of the elderly |
| KR101970893B1 (en) * | 2017-10-18 | 2019-04-19 | 동아대학교 산학협력단 | Screening device for frailty |
| JPWO2018066465A1 (en) * | 2016-10-03 | 2019-07-18 | 株式会社エッグ | Freil evaluation system |
| KR20190108016A (en) * | 2018-03-13 | 2019-09-23 | 서울대학교병원 | Method for Prediction Frailty Using Triple Axis Motion Meter, Prediction Frailty System using Triple Axis Motion Meter and Wearable Prediction Frailty Device |
| KR20200048288A (en) * | 2018-10-29 | 2020-05-08 | 주식회사 디파이 | Method and Apparatus for measuring aging parameter based on gait speed |
| CN111759329A (en) * | 2020-07-08 | 2020-10-13 | 山西医科大学 | Intelligent system for pathological psychological detection and assessment |
| US10827973B1 (en) * | 2015-06-30 | 2020-11-10 | University Of South Florida | Machine-based infants pain assessment tool |
| CN112614555A (en) * | 2020-12-13 | 2021-04-06 | 云南省第一人民医院 | Method for screening, evaluating and intervening senile syndromes of inpatient elderly patients |
| CN112631112A (en) * | 2020-12-31 | 2021-04-09 | 山东大学 | Multifunctional health monitoring smart watch and control method thereof |
-
2021
- 2021-06-07 CN CN202110629046.XA patent/CN113331801A/en active Pending
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040267099A1 (en) * | 2003-06-30 | 2004-12-30 | Mcmahon Michael D. | Pain assessment user interface |
| RU2011113336A (en) * | 2011-04-06 | 2012-10-20 | Государственное образовательное учреждение высшего профессионального образования "Воронежская государственная медицинская академия | METHOD FOR IDENTIFYING OVERFATURES AND PERFORMANCE OF PROFESSIONALLY SIGNIFICANT PSYCHOPHYSIOLOGICAL FUNCTIONS IN PERSONS OF OPERATOR PROFESSIONS |
| US10827973B1 (en) * | 2015-06-30 | 2020-11-10 | University Of South Florida | Machine-based infants pain assessment tool |
| CN106169031A (en) * | 2016-08-03 | 2016-11-30 | 董碧蓉 | Old people's medical health based on high in the clouds assessment system and method |
| JPWO2018066465A1 (en) * | 2016-10-03 | 2019-07-18 | 株式会社エッグ | Freil evaluation system |
| KR101970893B1 (en) * | 2017-10-18 | 2019-04-19 | 동아대학교 산학협력단 | Screening device for frailty |
| KR20190108016A (en) * | 2018-03-13 | 2019-09-23 | 서울대학교병원 | Method for Prediction Frailty Using Triple Axis Motion Meter, Prediction Frailty System using Triple Axis Motion Meter and Wearable Prediction Frailty Device |
| CN108806794A (en) * | 2018-05-29 | 2018-11-13 | 广东医科大学 | A kind of assessment system of the weak index of the elderly |
| KR20200048288A (en) * | 2018-10-29 | 2020-05-08 | 주식회사 디파이 | Method and Apparatus for measuring aging parameter based on gait speed |
| CN111759329A (en) * | 2020-07-08 | 2020-10-13 | 山西医科大学 | Intelligent system for pathological psychological detection and assessment |
| CN112614555A (en) * | 2020-12-13 | 2021-04-06 | 云南省第一人民医院 | Method for screening, evaluating and intervening senile syndromes of inpatient elderly patients |
| CN112631112A (en) * | 2020-12-31 | 2021-04-09 | 山东大学 | Multifunctional health monitoring smart watch and control method thereof |
Non-Patent Citations (2)
| Title |
|---|
| PATRICIA PAINTER，等: "A closer look at frailty in ESRD: Getting the measure right", 《HEMODIALYSIS INTERNATIONAL》, vol. 17, no. 1 * |
| 李玲锐，等: "老年冠心病患者衰弱评估工具研究进展", 《现代临床医学》, vol. 46, no. 3, pages 227 - 228 * |
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