CN206197948U - Quantify the wearable smart machine of detection Parkinson's motor symptoms - Google Patents

Abstract

The utility model relates to a wearable intelligent device for quantitative detection of Parkinson's movement symptoms, which includes a wearable mechanism for detecting Parkinson's movement symptoms and an intelligent terminal for collecting, processing and displaying data information of the wearable mechanism. The mechanism includes a foot module, and the foot module includes a power supply module for powering electrical components, a first micro-electromechanical system motion measurement module for sensing posture and gait data, a pressure sensor for sensing force data on the sole of the foot, and a The first micro-controller is used to collect the measurement data of the first micro-electromechanical system motion measurement module and the measurement data of the pressure sensor, and the pressure sensor is set corresponding to the bottom of the human body. In this solution, the posture and gait of the patient's feet are sensed by the first micro-electromechanical system motion measurement module, and the measurement data is transmitted to the smart terminal for processing through the first micro-controller to assist in the monitoring and treatment of Parkinson's motor symptoms .

Description

Wearable smart device for quantitative detection of Parkinson's motor symptoms

technical field

The utility model relates to a wearable intelligent device for quantitatively detecting Parkinson's motor symptoms.

Background technique

Parkinson's disease is a chronic degenerative disorder of the central nervous system. Tremor, muscle stiffness, and slowness of movement are the three main symptoms of Parkinson's disease. At present, there are more and more treatment methods, but the severity of Parkinson's symptoms and the effect of treatment are traditionally diagnosed by neurologists based on experience and feelings. For this reason, in the application publication number CN 104127187A, titled "Wearable System and Method for Quantitative Detection of Parkinson's Patient's Main Symptoms", a wearable system for quantitative detection of Parkinson's patient's main symptoms is disclosed, the system includes A glove and a computer connected thereto; the glove includes a wrist module and a fingertip module, which are worn on the patient's fingertip and wrist respectively, and the wrist module includes a sensor and a microcontroller, wherein the sensor is controlled by the first The micro-electro-mechanical system motion measurement module and a group of two pressure sensors with differential output are used to collect muscle stiffness measurement data and transmit the collected data to the microcontroller; the fingertip module includes a second micro-electro-mechanical system The motion measurement module is used for the acquisition of tremor and bradykinesia measurement data, and transmits the collected data to the microcontroller; the microcontroller collects the measurement data of the sensor and the second MEMS motion measurement module , and sent to the computer for processing and display, to realize the parameter measurement of tremor, muscle stiffness and slow movement, the measurement results and the original data of the measurement are displayed and saved by the computer.

The above-mentioned wearable system can realize the quantitative detection of the four symptoms of tremor, muscle stiffness, bradykinesia, and dyskinesia, but its detection is not comprehensive enough.

In view of this, the inventor has carried out in-depth research on the above-mentioned problem, and then has this case to produce.

Utility model content

The purpose of the utility model is to provide a wearable intelligent device that can better assist the quantitative detection of Parkinson's motor symptoms in the inspection of Parkinson's motor symptoms.

In order to achieve the above object, the utility model adopts such technical scheme:

A wearable smart device for quantitative detection of Parkinson's motor symptoms, including a wearable mechanism for detecting Parkinson's motor symptoms and an intelligent terminal for collecting, processing and displaying data information of the wearable mechanism. A foot module on the body or on the feet, the foot module includes a power supply module for powering the electrical components, a first MEMS motion measurement module for sensing posture and gait data, and a first MEMS motion measurement module for sensing plantar force data The pressure sensor and the first micro-controller used to collect the measurement data of the first MEMS movement measurement module and the measurement data of the pressure sensor, the pressure sensor is set corresponding to the sole of the human body.

As a preferred mode of the present invention, the wearing mechanism is connected to the smart terminal through a first wireless module in a wireless communication manner.

As a preferred mode of the present invention, the power supply module, the first MEMS motion measurement module and the first wireless module are integrated on one circuit board, and the circuit board is connected to the heel of the shoe body department.

As a preferred mode of the present invention, the pressure sensor is connected to the circuit board through wires.

As a preferred mode of the present invention, the first MEMS motion measurement module is a six-axis inertial measurement unit, which is embedded with a three-axis accelerometer for measuring the three-dimensional linear acceleration of the patient's heel motion and a A three-axis gyroscope used to measure the three-dimensional angular velocity value of the patient's heel movement.

As a preferred mode of the present invention, the first wireless module is a Bluetooth module.

As a preferred mode of the present invention, the smart terminal is a computer, a tablet computer or a smart phone.

As a preferred mode of the present invention, the wearing mechanism also includes a wrist module for sensing muscle stiffness data and a fingertip module for sensing tremor, bradykinesia and dyskinesia data, and also includes a wrist module that can be worn on the wrist The wrist module is connected to the belt body, and the fingertip module is connected to the wrist module through wires.

As a preferred mode of the present invention, an adhesive layer is connected to the circuit board.

After adopting the technical scheme of the utility model, the posture and gait of the patient's feet are sensed by the first micro-electromechanical system motion measurement module, and the measurement data is transmitted to the intelligent terminal for processing through the first micro-controller to assist Parkinson's disease. Monitoring and treatment of motor symptoms.

Description of drawings

In Fig. 1, the utility model uses a state diagram of a wearable mechanism (intelligent terminal is not shown in the figure);

Fig. 2 is a block diagram of the utility model;

Fig. 3 is the structural representation of wrist module and fingertip module in the utility model;

Fig. 4 is a structural schematic diagram of the foot module in the utility model;

In the picture:

10-Intelligent terminal 21-Shoe body

22-circuit board 23-pressure sensor

24-The first MEMS motion measurement module 25-The first microcontroller

26-First wireless module 27-Power module

31-wrist module 32-fingertip module

33-Second wireless module 40-Belt body

50-paste layer

detailed description

In order to further explain the technical solution of the present utility model, it will be described in detail below in conjunction with the accompanying drawings.

Referring to Fig. 1 and Fig. 2, the wearable smart device for quantitative detection of Parkinson's motor symptoms includes a wearable mechanism for detecting Parkinson's motor symptoms and an intelligent terminal 10 for collecting data information of the wearable mechanism for processing and displaying, so The wearing mechanism includes a foot module installed on the shoe body 21 or on the foot, the foot module includes a power supply module 27 for supplying power to electrical components, a first MEMS movement measurement system for sensing posture and gait data Module 24, the pressure sensor 23 in order to sense the force data of the sole of the foot and the first micro-controller 25 in order to collect the measurement data of the first microelectromechanical system motion measurement module 24 and the measurement data of the pressure sensor 23 in order to sense, the pressure The sensor 23 is set corresponding to the bottom of the human body. It should be noted that the first MEMS motion measurement module 24, the first microcontroller 25, and the smart terminal 10 in the present invention are all known hardware in the prior art, and the software functions carried by them are also prior art Said disclosure, the utility model combines it on the shoe body 21 or on the foot to realize the collection and processing of posture and gait data.

As a preferred mode of the present invention, the wearing mechanism is connected to the smart terminal 10 through the first wireless module 26 in a wireless communication manner.

As a preferred mode of the present invention, the power supply module 27, the first MEMS motion measurement module 24 and the first wireless module 26 are integrated on a circuit board 22, and the circuit board 22 is connected to the The heel portion of the shoe body 21 or the heel portion of the foot, specifically, the circuit board 22 is provided with an adhesive layer 50, and the foot module is connected to the heel portion of the shoe body 21 or the heel portion of the foot through the adhesive layer 50. Specifically, the adhesive layer 50 may be a tape layer or a Velcro layer or the like.

As a preferred mode of the present invention, the pressure sensor 23 is connected with the first microcontroller 25 through wires (such as IIC or SPI bus). When in use, the pressure sensor 23 can be placed under the insole of the shoe body 21 to sense the pressure of the foot.

As a preferred mode of the present utility model, the first MEMS motion measurement module 24 is a six-axis inertial measurement unit, which is embedded with a three-axis accelerometer for measuring the three-dimensional linear acceleration of the patient's heel motion and a Three-axis gyroscope for measuring three-dimensional angular velocity values of the patient's heel motion.

As a preferred mode of the present invention, the first wireless module 26 is a Bluetooth module.

As a preferred mode of the present invention, the smart terminal 10 is a computer, a tablet computer or a smart phone.

As a preferred mode of the present utility model, the wearing mechanism also includes a wrist module 31 for sensing muscle stiffness data and a fingertip module 32 for sensing tremor, bradykinesia and dyskinesia data, and the wrist module 31 corresponds to The patient's wrist is set, and the fingertip module 32 is set corresponding to the patient's fingertip. Specifically, the wrist module 31 is fixed on the belt body 40 that can be worn to the wrist. In this embodiment, the wrist module 31 and the fingertip module 32 can be connected by wires (such as IIC or SPI bus). Both the wrist module 31 and the fingertip module 32 are wirelessly connected to the smart terminal 10 through the second wireless module 33 . The specific structure of the wrist module 31 and the fingertip module 32 has been introduced in the Chinese invention patent application with the application publication number CN 104127187 A titled "Wearable System and Method for Quantitative Detection of Parkinson's Main Symptoms", here No more details.

The system composed of the above components is a wearable system that can detect the five main symptoms of Parkinson's patients. The detection of abnormal state symptoms, the whole system is easy to carry.

The utility model can further realize unified quantitative detection and analysis of five main symptoms of Parkinson's patients. In order to realize unified storage, management and analysis of all sensor data, a cloud platform management system is provided on the basis of the above embodiments. The system includes several wearable smart devices and management software with a friendly graphical user interface. The wearable smart devices wirelessly transmit sensor data to the cloud platform for storage. Users can log in to the management software through the cloud platform account, access and Analyze sensor data on cloud platforms.

The cloud platform management system can configure the wrist part and heel part of the wearable device through the smart terminal to realize the continuous quantitative monitoring of Parkinson's motor symptoms connected with doctors, patients and family members, and issue an auxiliary symptom evaluation report.

The management software has a friendly graphical user interface, and users can log in to the software through a cloud platform account to manage and analyze data. Simultaneously, described cloud platform management software is further provided with tremor detection and its amplitude stable state detection module, muscle stiffness detection module, slow movement symptom detection module, dyskinesia detection module and posture gait abnormality detection module, the user can through graphical user interface , select the corresponding detection module, use the sensor data stored on the cloud platform for statistical analysis and quantitative detection, realize the detection of the five main motor symptom parameters of Parkinson's disease patients, display the detection results, and issue an auxiliary symptom evaluation report.

The product form of the present utility model is not limited to the illustrations and examples of this case, and anyone who makes appropriate changes or modifications of similar ideas to it should be considered as not departing from the patent category of the present utility model.

Claims (9)

1. A wearable smart device for quantitative detection of Parkinson's motor symptoms, including a wearable mechanism for detecting Parkinson's motor symptoms and an intelligent terminal for collecting data information of the wearable mechanism for processing and displaying, characterized in that: the wearable The mechanism includes a foot module installed on the shoe body or on the foot. The foot module includes a power module, a first MEMS motion measurement module for sensing posture and gait data, and a first MEMS motion measurement module for sensing plantar force data. The pressure sensor and the first microcontroller used to collect the measurement data of the first MEMS motion measurement module and the first microcontroller used to collect the measurement data of the pressure sensor, the wearable mechanism is connected with the smart terminal in a data connection mode, and the pressure sensor Corresponds to the bottom of the foot of the human body. 2. The wearable smart device for quantitatively detecting Parkinson's movement symptoms according to claim 1, characterized in that: the wearable mechanism and the smart terminal are connected in a wireless communication manner through a first wireless module. 3. The wearable smart device for quantitatively detecting Parkinson's movement symptoms according to claim 2, characterized in that: the power supply module, the first MEMS movement measurement module and the first wireless module are integrated into one The circuit board is connected to the heel of the shoe body. 4. The wearable smart device for quantitatively detecting Parkinson's motor symptoms as claimed in claim 3, characterized in that: the pressure sensor is connected to the circuit board through wires. 5. The wearable smart device for quantitatively detecting Parkinson's motion symptoms as claimed in claim 4, characterized in that: the first micro-electromechanical system motion measurement module is a six-axis inertial measurement unit, and a built-in unit for measuring A three-axis accelerometer for three-dimensional linear acceleration of the patient's heel motion and a three-axis gyroscope for measuring three-dimensional angular velocity values of the patient's heel motion. 6. The wearable smart device for quantitatively detecting Parkinson's movement symptoms as claimed in claim 5, characterized in that: the first wireless module is a Bluetooth module. 7. The wearable smart device for quantitatively detecting Parkinson's motor symptoms as claimed in claim 6, characterized in that: the smart terminal is a computer, a tablet computer or a smart phone. 8. The wearable smart device for quantifying and detecting Parkinson's movement symptoms as claimed in claim 1, characterized in that: the wearing mechanism also includes a wrist module for sensing muscle stiffness data and a wrist module for sensing tremor and slow movement. And the fingertip module of dyskinesia data also includes a belt body that can be worn on the wrist, the wrist module is connected to the belt body, and the fingertip module is connected to the wrist module through wires. 9. The wearable smart device for quantitatively detecting Parkinson's movement symptoms as claimed in claim 3, characterized in that: said circuit board is connected with an adhesive layer.