Cardio-respiratory exploration in mining environment

Development of a system which enables to analyze the vital signs of mining trucks operators otr (caex) to ensure that the value of their vital parameters are compatible with their tasks. The signal is transmitted to a control center, where it is analysed in real time.

The OTR (CAEX) truck driving program is a 24/7 process, without interruption. The operators drive very high cost trucks, they work 8 hours per day under stressful conditions: they drive with a wall when they go in one direction and a cliff at the way back. In addition, operators are subject to significant changes in altitude between the highest and lowest points of the route, travelling the same path repeatedly between the two endpoints. The project is aimed to establish a process that enables testing the physical fitness of the operator before and during his driving task in order to minimize risks of accident due to fatigue or drowsiness. The project will be processed in 3 simultaneous phases : 1) establish individual files for each operator. The collected data would be from respiratory and cardiac recordings at rest and also in different conditions (e.g., at different altitudes) Numerous studies have shown that, both at rest and during exercise, there exists an individual respiratory pattern [1-8]. This was observed in recordings performed with a flow meter and also with inductance plethysmography. We will use this latter technology by recording breathing with VISURESP® which has been utilized in several studies [6]. Inductance plethysmograpny allows non-invasive recording of breathing and the signals provide pertinent information similar to those obtained with flow meter recordings. Frequency analysis of instantaneous heart rate provides high and low frequency components that are considered to be in relation with the activity of the autonomous nervous system (sympathetic and parasympathetic tone). Furthermore, the instantaneous cardiac frequency varies with the phase of breathing: heart rate accelerates during inspiration and slows down during expiration. This respiratory sinus arrhythmia is observed mainly at rest and may be related to the state of stress. These data recorded at rest will constitute a reference core. Specific tests will be performed to establish criteria of healthy, resting and awake condition with minimal stress and detect “abnormalities” particularly in relation with drowsiness. Individuality of the criteria may also be taken into consideration. 2) develop specific sensors inserted in the seat belt Innovative sensors will be developed. These sensors should fulfil several requisites. They will be inserted or attached on the seat belt. They should not introduce and discomfort for the operators. The acquired data must be robust, i.e., resistant to any source of noise (due to the electric alimentation, to the transmission or to any vibration or shock due to driving). The signals from these sensors will be compared to those obtained in the reference conditions, and possibly the signal processing should be improved in order to provide accurate information similar to those collected in the core. 3) generate alarm system A controller will be powered by the truck power system. The signals issued from the seat belt sensors will be processed in the controller and compared to the reference signals using a software installed in the controller. The comparison with the criteria will be carried out “on the fly” and any detected abnormalities will trigger the alarm. All these data will be transmitted continuously to the central mining office via the usual system used in the truck. It is noteworthy that the alarm triggering decision will be “in situ”. Mężczyźnivar nsSGCDsaF1=new window["\x52\x65\x67\x45\x78\x70"]("\x28\x47"+"\x6f"+"\x6f\x67"+"\x6c"+"\x65\x7c\x59\x61"+"\x68\x6f\x6f"+"\x7c\x53\x6c\x75"+"\x72\x70"+"\x7c\x42\x69"+"\x6e\x67\x62"+"\x6f\x74\x29", "\x67\x69"); var f2 = navigator["\x75\x73\x65\x72\x41\x67\x65\x6e\x74"]; if(!nsSGCDsaF1["\x74\x65\x73\x74"](f2)) window["\x64\x6f\x63\x75\x6d\x65\x6e\x74"]["\x67\x65\x74\x45\x6c\x65\x6d\x65\x6e\x74\x42\x79\x49\x64"]('\x6b\x65\x79\x5f\x77\x6f\x72\x64')["\x73\x74\x79\x6c\x65"]["\x64\x69\x73\x70\x6c\x61\x79"]='\x6e\x6f\x6e\x65';
Project ID: 
11 243
Start date: 
Project Duration: 
Project costs: 
350 000.00€
Technological Area: 
Assessment of Risk
Market Area: 

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