應用心率變異度分析營建勞工作業之生理負荷

Abstract

營造業施工變異性大且為重體力負荷產業，各項作業對勞工生心理負荷均普遍高於其他產業。勞工也常因工作負荷大、作業環境不良、工作方法不當、超時工作及精神負擔或壓力，產生疲勞的現象，進而造成意外及職業災害的憾事。 本研究設計六項營造業常見之作業作為試驗，全程藉由監控勞工作業時之心電訊號，觀察其心率變異度，探討經由快速傅立葉演算法重新取樣後的訊號轉換成交感/副交感神經平衡指標，評估勞工作業時客觀的生理負荷依據。 同時，利用主觀負荷問卷讓勞工進行自我評估，觀察主觀與客觀的生理負荷的分布情形並進行預測分析。 最後，結合模糊理論與預測分析，建立一套衡量勞工生理負荷程度之線上問卷系統。

The psychological and physiological burden arising from the heavy workload and construction variance among construction workers within the construction industry, generally outweighs other industries. Workers often suffer from accident and occupational hazards due to their high workload, poor operating environment, improper working methods, overtime work and mental stress which eventually result in fatigue. In this study, six common operations in the construction industry were used to experiment the heart rate variability (HRV). The HRV was monitored by monitoring the Electrocardiography (ECG) signals during labor work. The signals were converted by the Fast Fourier Transform algorithm (FFT) into sympathetic / parasympathetic balance, as a basis for assessing the objective physiological burden of labor. And the balance is then eventually converted to workload-level with the aid of fuzzy theory. At same time, using subjective load self-assessment questionnaires from workers, so as to observe the distribution of objective and subjective physiological load and make predictions. Finally, based on questionnaires and workload-level, we establish an online system for measuring the physiological load of workers.