Cardiovascular waveforms - can we extract more from routine signals?
Manasi NandiMary AntonJane V LylePublished in: JRSM cardiovascular disease (2022)
Cardiovascular waveforms such as blood pressure, ECG and photoplethysmography (PPG), are routinely acquired by specialised monitoring devices. Such devices include bedside monitors, wearables and radiotelemetry which sample at very high fidelity, yet most of this numerical data is disregarded and focus tends to reside on single point averages such as the maxima, minima, amplitude, rate and intervals. Whilst, these measures are undoubtedly of value, we may be missing important information by simplifying the complex waveform signal in this way. This Special Collection showcases recent advances in the appraisal of routine signals. Ultimately, such approaches and technologies may assist in improving the accuracy and sensitivity of detecting physiological change. This, in turn, may assist with identifying efficacy or safety signals for investigational new drugs or aidpatient diagnosis and management, supporting scientific and clinical decision making.
Keyphrases
- heart rate
- blood pressure
- decision making
- clinical practice
- heart rate variability
- oxidative stress
- electronic health record
- healthcare
- clinical trial
- type diabetes
- hypertensive patients
- big data
- phase ii
- resting state
- fluorescent probe
- skeletal muscle
- artificial intelligence
- drug induced
- study protocol
- functional connectivity
- open label
- adipose tissue