An Energy Efficient Wearable Smart IoT System to Predict Cardiac Arrest

Table 1

Qualitative comparison of existing work based on different features.

Approach	Use IoT Device	Mobility	Low Power System	Cyber Physical System	Cost Effective
PatientsL-ikeMe [27]	No	Yes	No	No	No
Daily Strength [28]	Yes	Yes	No	No	No
Om-nio [29]	Yes	Yes	Yes	Yes	No
Everyday Health [30]	Yes	No	No	No	No
SEHMS [31]	No	Yes	No	Yes	No
RMHM [32]	No	No	No	Yes	No
PHM [33]	Yes	Yes	No	Yes	No
Qardiocore [34]	No	No	No	Yes	No
Maksimović [35]	No	No	No	Yes	No
Stecker [36]	No	No	No	Yes	No
Mancini [37]	No	No	No	Yes	No
Sun [38]	No	No	No	Yes	Yes
Communicore [39]	No	No	N0	Yes	No
Kavitha1 [40]	Yes	No	No	Yes	No
Jagtap [41]	No	No	No	Yes	No
Our Approach	Yes	Yes	Yes	Yes	Yes