摘要:
The motor function estimating system 1000 has a memory unit 1260, a data processing unit 1220 (analyzing section), and a display unit 1400. The memory unit 1260 memorizes waveform data about the time change of fingers tapping motion that is obtained by a motion sensor attached to a subject person who does the fingers tapping motion that is repetition of the opening and closing motion of two fingers of one hand. The data processing unit 1220 analyzes the waveform data in the memory unit 1260. The display unit 1400 displays an analysis result. The data processing unit 1220 creates motion waveform based on waveform data, and plural characteristics based on the motion waveform. The data processing unit 1220 creates a motion disorder synthesis value that represents degree of motion disorder of the subject person by revising each of the plural characteristics based on characteristics of every age and synthesizing them.
摘要:
The motor function estimating system 1000 has a memory unit 1260, a data processing unit 1220 (analyzing section), and a display unit 1400. The memory unit 1260 memorizes waveform data about the time change of fingers tapping motion that is obtained by a motion sensor attached to a subject person who does the fingers tapping motion that is repetition of the opening and closing motion of two fingers of one hand. The data processing unit 1220 analyzes the waveform data in the memory unit 1260. The display unit 1400 displays an analysis result. The data processing unit 1220 creates motion waveform based on waveform data, and plural characteristics based on the motion waveform. The data processing unit 1220 creates a motion disorder synthesis value that represents degree of motion disorder of the subject person by revising each of the plural characteristics based on characteristics of every age and synthesizing them.
摘要:
Forces applied to cause flexion and extension movements of a joint of a subject (1) are detected by at least one force sensor (20a, 20b), and a joint torque for flexing and extending the joint is calculated based on the forces. Further, a joint angle of the joint of the subject is measured by a sensor (30). Then, a change with passage of time in each of the joint torque and the joint angle during flexion and extension movements of the joint of the subject is separated into a maximal extension position static phase, a dynamic flexion phase, a maximal flexion position static phase and a dynamic extension phase, and a muscle tonus feature amount is extracted from a relationship between the joint angle and the joint torque in at least one of the dynamic flexion phase and the dynamic extension phase. By using this muscle tonus feature amount, muscle tonus can be objectively evaluated with a method close to the medical examination manipulation that is conventionally performed by neurologists in medical examinations with an extremely simple apparatus.