A special webinar on the effects of tilt, exercise and high altitude on human cardiorespiratory and autonomic nervous systems, as studied at Everest Base Camp.
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The human body is an amazingly complicated machine, capable of adapting and responding to various stressors and environmental conditions. Even in extreme situations the body is able to adjust core physiological processes and systems to ensure optimal function, and ultimately, survival. When studying human physiological response the most basic measurements, such as ECG and respiration, can hold huge amounts of information. But, their value is much greater when integrated with other physiological measurements such as blood pressure, oxygen saturation and respiratory gas concentrations.
However, accurate co-registration of physiological data is no trivial pursuit. Moreover, the complexity of such research endeavors is compounded when we venture out of traditional laboratory spaces and seek to study human response and adaptation in extreme environments. Sensors and systems must offer practical application and reliable data collection — moreover, data storage and management is of critical importance.
In this case study webinar, hosted by Insdiescientific, Dr. Trevor Day, Associate Professor of Physiology at Mt Royal University in Calgary Alberta, will discuss complex field applications of human physiologic monitoring, including review of a recent research study conducted at Everest Base Camp to monitor and track acclimatization in the context of high altitude hypoxia. During this expedition multiple physiological measures were recorded simultaneously on both rest and exercise days in order to test for signs of altitude sickness. Dr. Day will share his experiences from this exciting study and offer perspective regarding the importance of being able to record and integrate multiple data streams simultaneously.
Key topics covered during this webinar will include…
- Recording high quality physiological data in the lab as well as in extreme environments
- Integrating and syncing a number of different physiological recordings
- Performing advanced Heart Rate Variability (HRV) analysis on large sets of data
- Finding relationships between different signals recorded on the same time base
- Insights into the practicality of running a scientific study up Mt Everest