OBJECTIVE: The main objective of this paper is to develop a robust algorithm to extract respiration rate using the contactless displacement sensor.
METHODS: In this study, chest movements were used as an indicative of inspiration and expiration to measure respiratory rate using the contactless displacement sensor. The contactless optical signals were recorded from 32 healthy subjects in four different controlled breathing conditions: rest, coughing, talking and hand movement to obtain the motion artifacts that the patients may have in the emergency department. The Empirical mode decomposition (EMD) algorithm was used to derive continuous RR signal from the contactless optical signal.
RESULTS: The analysis showed that there is a good correlation (0.9702) with RMSE of 0.33 breaths per minutes between the contact respiration rate and contactless respiration rate using empirical mode decomposition method.
CONCLUSION: It can be concluded that the empirical mode decomposition method can extract the respiration rate of the contactless optical signal from chest movement.
MATERIALS AND METHODS: A cross sectional descriptive study was conducted on 72 ESRD patients at a Dialysis Centre in Malaysia. The modified KDQOL-SF™ subscales, kidney disease-targeted scale and 36 item health survey scale questionnaires were used.
RESULTS: The overall health rating was 66.73 ± 11.670 indicating good quality of life. There was no significant difference between quality of life for the different domains according to gender (p >0.05). However, there were significant differences between quality of life in the domain of burden of kidney disease. Physical functioning deteriorated significantly with age (p=0.012) while social functioning was lowest in the 50-65 years age group (p=0.037). Those who had no morbidities had significantly better scores on the effects of kidney (p=0.036), burden of kidney disease (p=0.011) and physical functioning (p=0.025).
CONCLUSIONS: Patients undergoing haemodialysis have been found to have good quality of life despite having ESRD. It is therefore of paramount importance to constantly monitor the standard of care for these patients to enable them to live their life to the fullest.
METHODS: The setting of the study was within a developing nation. An economic evaluation study of drone versus ambulance for emergency blood products transportation between the Sabah Women and Children Hospital (SWACH) and the Queen Elizabeth II Hospital (QEH2) on Borneo Island was conducted using the Cost-Effectiveness Analysis (CEA) technique. The total cost of each mode of transportation was calculated using the Activity Based Costing (ABC) method. Travel time was used as a denominator to estimate the Incremental Cost Effectiveness Ratio (ICER).
RESULTS: For one clinical emergency in SWACH, a round trip of blood products transportation from SWACH to QEH2 costs RM1,266.02 (USD307.09) when using the ambulance, while the drone costs RM1,313.28 (USD319.36). The travel time for the drone was much shorter (18 min) compared to the ambulance (34 min). The Cost-Effectiveness Ratio (CER) of ambulance transportation was RM37.23 (USD9.05) per minute whilst the CER of drone transportation was RM72.96 (USD17.74) per minute. The ICER of drone versus ambulance was - 2.95, implying an increase of RM2.95 in cost for every minute saved using a drone instead of an ambulance.
CONCLUSION: Although drone transportation of blood products costs more per minute compared to the ambulance, the significantly shorter transport time of the drone offset its cost. Thus, we believe there is good economic potential for drone usage for blood products transportation in developing nations particularly if the drone price decreases and its operational lifespan increases. Our limitation of a non-clinical denominator used in this study leads to the recommendation for use of clinical outcomes in future studies.