Short-time predictions of cardiovascular dangerous/abnormal values using a wearable digital stethoscope, GIS and ML algorithms on Android smartphones. An application for Smart Health Emergencies Services in Euro-zones (Smart Cities).
IEEE Citation Style The ENGLISH (UK) has to be flawless!! at least 27-35 references The article would be useless without properly linked databases (with recorded heart sounds and BP). Figures (max 4) have to be only with algorithms, decision trees (not with human bodies draws or other draws with phones, wearing sensors, etc) The implications (of the idea) for Smart health services in Smart Cities (max 0,5 pag – usability for predicting stroke attack and hypertension accidents) Has to include chapters like Introduction (max. 0.5 pag), State of the art (max 1 pag), Methodologies used (max 0.5 pag), Data (sounds) pre-processing and transformation (max 0.5 pag), Correlating sounds with Blood pressure measures ( maybe in the idea of reinforced deep-learning, neural networks) Algorithms for real-time predictions of Blood pressure Data transmission to Servers and alerting Emergency Health Service (max 0.5 pag – only from personal data protection pov) Discussion Conclusions Future work