Congenital Heart Disease, COPD, Fever, Obesity, Respiratory Distress
Conditions
Keywords
wireless pressure sensor, Elderly
Brief summary
The primary outcome for this project will be the development of a small, non-invasive wireless sensor that is linked to a conventional computer that can be used in health care for monitoring of acute and chronic health problems. The advantages of developing this technology are threefold. First, monitoring can be conducted for a fraction of the cost of a bedside nurse. Second, monitoring can be done in real time and stored so that we can diagnose and manage critical events in a more timely manner. Lastly, many patients can be monitored simultaneously. The wireless sensors will be fitted to healthy volunteers of various ages. The data gathered from the sensor with respect to their vital signs will be compared to that of conventional tools such as nursing assessments and pulse oximetry.
Interventions
DEVICECardiorespiratory monitor
Subjects will also be fitted with conventional monitoring devices as per the standard of care (3 or 5 lead ECG, pulse oximeter, blood pressure cuff) and will have vital statistics obtained by a trained research assistant at regular 5-minute intervals including blood pressure, heart rate, temperature, and respiratory rate using the standard cardiorespiratory bedside monitor's cycling protocol. The same parameters will be obtained from the wireless sensor at identical time points for a duration of 2 hours. Data obtained from both conventional and study sources will be entered into an encrypted USB device for later analysis.
DEVICEWireless pressure sensor
Following informed consent, each subject will be fitted with a wireless sensor attached to a conventional laptop computer. The sensors fit around the participant's chest and work as transducers.
Sponsors
Lauren Faught
Michael Greff
Michael Rieder
Safieddin Safavi-Naeini
London Health Sciences Centre Research Institute OR Lawson Research Institute of St. Joseph's
Study design
Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
DIAGNOSTIC
Masking
NONE
Eligibility
Sex/Gender
ALL
Healthy volunteers
Yes
Inclusion criteria
* Adults with controlled and non-controlled hypertension (hypertension defined as \> 130/90 on two separate occasions and history of hypertension) * Adults with known chronic obstructive pulmonary disease in respiratory distress with oxygen saturations \< 90% * Febrile adults (temp at triage \> 38 C) with no significant co-morbidities * Elderly (\>70 years) patients with no significant co-morbidities * Obese adults (BMI \> 30) * Febrile (temp at triage \> 38 C) and non-febrile children (age \< 18 yrs) * Obese children (BMI \> 30) * Neonates (age \< 6 weeks) * Children with corrected cyanotic congenital heart disease * Children in respiratory distress that present with oxygen saturations \< 90%
Exclusion criteria
-Subjects with unstable vital signs will be excluded.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| The primary outcome is the level of agreement between cardiorespiratory monitor and sensor information for heart rate. | 2 hours | The primary outcome is the level of agreement between conventional methods and sensor information for heart rate. |
| Level of agreement between cardiorespiratory monitor and sensor information for blood pressure | 2 hours | The primary outcome is the level of agreement between conventional methods and sensor information for blood pressure. |
| Level of agreement between cardiorespiratory monitor and sensor information for temperature | 2 hours | The primary outcome is the level of agreement between conventional methods and sensor information for temperature. |
| Level of agreement between cardiorespiratory monitor and sensor information for oxygen saturation | 2 hours | The primary outcome is the level of agreement between conventional methods and sensor information for oxygen saturation. |
Countries
Canada
Contacts
Primary ContactNaveen Poonai, MD
Outcome results
None listed