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\section{Background}

In hospital setting, calculation of EWSs has been shown to predict important clinical outcomes effectively, such as severe deterioration, likelyhood of ICU admission,
and mortality\autocite{subbe_validation_2001, buist_association_2004, paterson_prediction_2006, alam_exploring_2015, bilben_national_2016, brekke_value_2019}.
Traditionally, doctors and nursing staff collect and evaluate patient vitals data manually, which is limited due to lack of resources\cite{shaik_remote_2023}.
Remote patient monitoring (RPM) can provide early pre-symptomatic detection of deterioration and hospital admission.
The Covid pandemic in particular has sparked efforts to investigate remote patient monitoring solutions, and NEWS2 has proved beneficial in predicting critical outcomes\cite{gidari_predictive_2020, otoom_iot-based_2020, filho_iot-based_2021, carr_evaluation_2021}.
Javanbakht et al. found that continuous vitals monitoring is more cost-effective than intermittent monitoring\cite{javanbakht_cost_2020}, however the findings of
this study should be taken lightly due to potential bias reporting.

A variety of wearable medical sensors capable of continuously recording vital parameters have been developed recently\cite{noauthor_visi_nodate, noauthor_equivital_nodate, noauthor_vitls_nodate, noauthor_caretaker_nodate, noauthor_medtronic_nodate}.

\section{Motivation}
EWSs may also be a viable tool for predicting deterioration outside of hospitals\cite{ehara_effectiveness_2019, burgos-esteban_effectiveness_2022, paganelli_conceptual_2022}, allowing for preemptive action to be taken.
However, some known setbacks of the NEWS and other scales are the frequency of scoring and response, integration into practice, and miscalculation by healthcare providers\cite{eisenkraft_developing_2023}.

Several studies have examined vitals monitoring using wearables for at-home-patients in a laboratory setting,
however in most of them, no automated EWS calculations were made\cite{archip_iot_2016, azimi_medical_2016, chowdary_efficient_2018, yeri_iot_2020, lee_all-day_2020, athira_design_2020, phaltankar_curaband_2021, thippeswamy_prototype_2021}.

Sahu et al. used the PM6750\cite{sahu_internet--things-enabled_2022}, an experimental vitals data monitoring device capable of continuous measurements in a laboratory setting.
However, the methodology of real-time EWS calculation using data gathered in the laboratory is unclear and was not demonstrated.
Furthermore, the device used to take continuous measurements, requires a large number of sensors and cables to be continuously attached
to the patient's body\cite{noauthor_pm6750_nodate}, restricting movement.

Anzanpour et al. developed a monitoring system which collects vitals data and calculates EWSs in 2015, however due to limited or nonexistent
availability of remotely operable sensors for all vital signs relevant to EWSs, the work was limited to using a laboratory prototype
requiring some manual interaction in transferring vitals data\cite{anzanpour_internet_2015}.

Patients appreciate the face-to-face aspect of early warning score monitoring as it allows for reassurance, social interaction, and gives them further opportunity to ask questions about their medical care\cite{downey_patient_2018}.

Taking continuous measurements is superior to measuring intermittently\cite{gronbaek_continuous_2023, shaik_remote_2023}, but
setting up continuous monitoring systems is cumbersome as it involves connecting patients to sensor devices
with numerous electrodes and cables, which restrict patient activities to the bed area\cite{un_observational_2021}.
Also, data transmission is highly reliant on in-house telecommunication infrastructure.
In contrast, wearable devices such as armband or wristband incorporates multiple biosensors in a single form-factor,
which allows a higher degree of patient mobility without the constraints of physical wirings.
More importantly, data transmission through cellular network avoids the need of installing additional in-house
telecommunication infrastructure, allows rapid deployment, and provides versatile and scalable solutions.


\section{Objectives}


\section{Tasks}

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