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Parkinson's resting-state tremor assessment method based on wearable somatosensory network

A static state, somatosensory network technology, applied in sensors, medical science, diagnosis and other directions, can solve the problems of affecting the recognition results of arm tremor state, easily mistaken for environmental noise, reducing the positive detection rate of system recognition, etc., to achieve good promotion. Capability and engineering application value, effect of good robustness and reliability

Active Publication Date: 2022-07-15
NANJING UNIV OF INFORMATION SCI & TECH
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Problems solved by technology

[0006] Purpose of the invention: The present invention proposes a wearable somatosensory network-based evaluation method for Parkinson's patient's arm tremor in the resting state, to achieve accurate identification of the degree of arm tremor in daily activities, and to solve the following technical problem: the patient's daily behavior affects the state of arm tremor The recognition results of the system reduce the correct detection rate of the system; the degree of tremor in the early stage is relatively slight, and it is easy to be mistaken for environmental noise, so it cannot be accurately recognized

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  • Parkinson's resting-state tremor assessment method based on wearable somatosensory network
  • Parkinson's resting-state tremor assessment method based on wearable somatosensory network
  • Parkinson's resting-state tremor assessment method based on wearable somatosensory network

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Embodiment Construction

[0064] The technical solutions of the present invention will be further described below with reference to the accompanying drawings and embodiments. In order to better describe the tremor degree of Parkinson's patients in daily activities, in the specific implementation process, the present invention defines the following 8 situations:

[0065] S1: lie flat on the bed;

[0066] S2: Sit quietly on a chair and relax your arms naturally;

[0067] S3: Sit quietly on a chair with your arms flat on the table;

[0068] S4: Stand still, with arms naturally relaxed;

[0069] S5: After walking slowly for 10 seconds, sit still on the chair and relax the arms naturally;

[0070] S6: After grabbing the tea cup to drink water, place the arm flat on the table;

[0071] S7: After grabbing the teacup to drink water, the elbow joint is supported on the table;

[0072] S8: Standing state, after bending and stretching the upper arm for 5 times, the arm is naturally relaxed;

[0073] The ste...

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Abstract

The invention discloses a Parkinson's resting state tremor evaluation method based on a wearable somatosensory network, belonging to the field of wireless sensor networks and data analysis thereof, and particularly relates to a wearable somatosensory network-based method for obtaining the tremor state of Parkinson's patients' arms and identification. The invention measures the posture angles of the upper arm, the lower arm and the wrist, calculates the angle change of the elbow joint and the wrist joint, extracts the characteristics of the angle change, extracts the real-time characteristics of the electromyographic signal, and trains the hidden Marker according to the characteristic data and the UPDRS scale. Kov model, which outputs the current optimal state sequence. The method can provide technical support for the assessment of the degree of arm tremor in Parkinson's patients, and provide theoretical basis for Parkinson's patients, the elderly, the infirm and other people who need to know the occurrence of early Parkinson's disease in time.

Description

technical field [0001] The invention relates to the field of wireless sensor networks and data analysis thereof, in particular to a Parkinson's resting state tremor evaluation method based on a wearable somatosensory network. Background technique [0002] Parkinson's disease is a degenerative disease of the central nervous system characterized by varying degrees of impact on the ability of the body to move. It is more common in older adults, with most cases occurring after age 50. Parkinson's disease primarily affects four areas of motor function, including bradykinesia, resting tremor, limb stiffness, and postural instability. Resting tremor is more prominent in the upper limbs, and the tremor will gradually spread from unilateral to bilateral, and the condition will gradually worsen. Therefore, it is very necessary to identify resting tremor earlier in daily life. [0003] The application of wearable sensors in early tremor assessment is currently a research hotspot in ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B5/00A61B5/11A61B5/397
CPCA61B5/4082A61B5/1101A61B5/1121A61B5/7235A61B5/7282A61B5/389
Inventor 庄伟申义贤李露张杰锋戴栋
Owner NANJING UNIV OF INFORMATION SCI & TECH
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