This is a diagnostic accuracy evaluation and clinical feasibility study of investigational devices (EarlySense and ANNE systems) in a neonatal high dependency unit (nHDU) in a private teaching hospital and a government maternity hospital in Nairobi, Kenya. Neonates who are admitted for routine observation and care will be enrolled.

To further reduce neonatal mortality rate in low resource settings (LRS) in Africa, research is needed to develop and optimize innovations in neonatal care, specifically technologies that are low cost, operator-independent, and highly efficient. The purpose of this study is to produce information and data regarding the performance of two existing multiparameter continuous physiological monitoring devices developed by device developers, EarlySense and Sonica. The clinical trial is intended to provide evidence to establish whether these investigational devices can reliably and accurately measure vital signs in neonates (when compared to verified reference devices) and to assess the feasibility, usability and acceptability of these devices for use in neonates in a LRS in Africa.

Inclusion Criteria:

1. Male or female neonate, corrected age of ≤ 28 days.
2. Willingness and ability of neonate's caregiver to provide informed consent and to be available for follow-up for the planned duration of the study.

Exclusion Criteria:

1. Receiving mechanical ventilation or continuous positive airway pressure (CPAP).
2. Skin abnormalities in the nasopharynx and/or oropharynx.
3. Contraindication to application of skin sensors.
4. Known arrhythmia.
5. Presence of a congenital abnormality requiring major surgical intervention.
6. Any medical or psychosocial condition or circumstance that, in the opinion of the investigators, would interfere with the conduct of the study or for which study participation might jeopardize the neonate's health.

Neonates enrolled in the study will be representative of the ethnic demographics in Nairobi, Kenya. Both female and male neonates will be enrolled.

If in the future data sharing is needed, the study will establish appropriate data transfer agreements with other researchers and only de-identified data will be shared.