Fibrux Oy

Mika Herrala

Pasi Tavi

Mikko Vähäsöyrinki

Markku K Vimpari

Juha Lampela

Jani Mäntyjärvi

Jani Mantyjarvi

A method, system and apparatus for determining the state of a muscle between a normal non-tired state, a tired state and a passive involuntary tension state. A signal from the muscle is recorded at rest by using an electrode arrangement, where an earth body may prevent the electrodes from picking up signals beyond the extent of the earth body. The frequency content of the signal is determined by spectral analysis, e.g. by computing a moment of the spectrum. A normal frequency content indicates a non-tired muscle state, whereas a low and a high frequency content indicate a tired and a passive involuntary tension muscle state.

Method and a device for measuring muscle signals

A device or a system for measuring muscle signals. A system may include at least one processor, memory including computer program code, the memory and the computer program code configured to, with the at least one processor, cause the system to perform at least the following: measure a signal from a muscle to obtain a muscle activation signal; carry out at least one transform on the muscle activation signal to obtain a muscle activation spectrum; and determine a muscle state indicator from the muscle activation spectrum by using signal characteristics from a first and a second band of the muscle activation spectrum.

Device for measuring muscle signals

In order to determine the state of a muscle between a normal non-tired state, a tired state and a passive involuntary tension state, a signal from the muscle is recorded at rest by using an electrode arrangement, where an earth body may prevent the electrodes from picking up signals beyond the extent of the earth body. The frequency content of the signal is determined by spectral analysis, e.g. by computing a moment of the spectrum. A normal frequency content indicates a non-tired muscle state, whereas a low and a high frequency content indicate a tired and a passive involuntary tension muscle state. A mapping is used to improve accuracy of state determination, e.g. with a reference database.

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Vimpeli, Finland

Mika Herrala