Research Article
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 |
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