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Outline
To improve the massage efficacy of electric vehicle massage seats, this paper proposes an evaluation method based on the analysis of time-frequency domain characteristics of surface Electromyography (sEMG) signals. Firstly electromyographic signals are collected from the trapezius, lower trapezius, latissimus dorsi and erector spinae muscles under three distinct states: comfort, fatigue, and massage, then those sEMG signals are preprocessed through filtering and normalization, followed by the extraction of Median Frequency (MDF) and Root Mean Square (RMS) features. Characteristic difference of the sEMG features among the three states (P<0.05) is compared, which confirms validity of the proposed evaluation method. Furthermore, the analysis of muscle relaxation across different muscle groups provides insights into the optimization of the mechanical massage structure.
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| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
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