Cardio-respiratory monitoring is one of the most demanding areas in the rapidly growing, mobile-device, based health care delivery. We developed a 12-lead smartphone-based electrocardiogram (ECG) acquisition and monitoring system (called “cvrPhone”), and an application to assess underlying ischemia, and estimate the respiration rate (RR) and tidal volume (TV) from analysis of electrocardiographic (ECG) signals only. During in-vivo swine studies (n?=?6), 12-lead ECG signals were recorded at baseline and following coronary artery occlusion. Ischemic indices calculated from each lead showed statistically significant (p??0.05) increase within 2?min of occlusion compared to baseline. Following myocardial infarction, spontaneous ventricular tachycardia episodes (n?=?3) were preceded by significant (p??0.05) increase of the ischemic index ~1–4?min prior to the onset of the tachy-arrhythmias. In order to assess the respiratory status during apnea, the mechanical ventilator was paused for up to 2?min during normal breathing. We observed that the RR and TV estimation algorithms detected apnea within 7.9?±?1.1?sec and 5.5?±?2.2?sec, respectively, while the estimated RR and TV values were 0 breaths/min and less than 100?ml, respectively. In conclusion, the cvrPhone can be used to detect myocardial ischemia and periods of respiratory apnea using a readily available mobile platform.
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