1
Live Demonstration: an IoT SmartWatch-based System for Intensive Care Monitoring Francesca Stradolini § and Eleonora Lavalle §† , Paolo Motto Ros †‡ , Giovanni De Micheli § , Danilo Demarchi and Sandro Carrara § § Integrated Systems Laboratory, EPFL, Switzerland Department of Electronics and Telecommunications, Politecnico di Torino, Italy Elecronic Design Laboratory (EDL), Istituto Italiano di Tecnologia (IIT), Italy Abstract—Nowadays, wearable devices are largely spread in many fields and in wellness monitoring too. In this paper we propose a smartwatch-based IoT system to improve the monitoring efficacy of critical hospitalized patients. The medical doctor assigned to the unit can access patients’ information at any time and from any place by wearing a smartwatch. The bio- sensing platforms, which measure metabolites’ concentration in the patients, are wirelessly connected with a dedicated application running on the smartwatch. In case of anomalous measured values, incoming alert notifications are received to ask urgent medical intervention. In this way, the doctor, or in general the caregiver, can freely move in the hospital areas and perform several tasks in parallel without losing the monitoring of the patients under their responsibility. I. DEMONSTRATION SETUP The aim of the demo is to reproduce the monitoring system architecture and the protocol communication we have realized. Three are three main building blocks for the architecture (Fig. 1): (a) a Client Android TM interface, running on a bedside tablet, directly paired with the bio-sensing platform on the patient, (b) an Android intermediary Server-side, running on a tablet/smartphone in a central workstation, that collects data from different clients and enables the bidirectional commu- nication with them, and (c) a SmartWatch application on the doctor watch device. Since we adopted Android Wear 1.0, the intermediary Server-side acts as a bridge to enable and handle the multi-patients monitoring from the smartwatch. To recreate and validate the architecture we will carry these devices: a Galaxy Note pro 12.2 in and a Galaxy Tab 2 simultaneously connected as clients, a Nexus 7 as intermediary server and a Sony Smartwatch 3. Two main processes of the bi-directional communication pro- tocol will be simulated: (i) requesting data from smartwatch (the blue process on the top of Fig. 2) and (ii) alerting user in case of anomalies in recorded values (the purple process on the bottom of Fig. 2). We will need: (i) a table for the set-up, (ii) charger plugs, (iii) Internet connection and (iv) stand for a poster where technical details of the IoT architecture will be summarized. II. VISITOR EXPERIENCE Visitors will be attracted by videos continuously projected on the pc monitor. Those videos where recorded while vali- dating the system: (i) connection of the patient-client to the monitoring system, (ii) doctor requests for parameters from the Client Bed-Side Applications Intermediary Server Smart Watch Patient1 Patient2 Patient3 Figura 1. Monitoring scenario: a.) Client-Android app directly connected with each patients bio-sensor, b.) Server app redirects data to a c.) SMartWatch app to keep the medical doctor continuously connected. Final User-SmartWatch Server Patient #-Client On-demand (Patient #, Parameter $) Mean-§-samples On-demand (Parameter $) Mean- §-samples Alert (Patient #, Parameter $) Alert (Parameter $) Alert-Received Alert-Received Figura 2. Communication protocol: a.) Client Patient #, b.) Server and c.) SmartWatch Final User. smartwatch and (iii) alert notification in case of out-of-safe- range parameter. In addition we will be able to let them try these main features of the system with the available devices. Further, thank to the poster, we will be able to explain in detail the background architecture if interested. ACKNOWLEDGMENT Authors thank A. De Gaetano. This work was supported by the CoMofA project (# 325230 157139) granted by the Swiss National Science Foundation (SNF). EARLIER PUBLICATION [1] F. Stradolini, E. Lavalle, G. De Micheli, P. Motto Ros, D. Demarchi, and S. Carrara, “Paradigm-shifting players for iot: Smart-watches for intensive care monitoring,” in MobiHealth. Springer, 2016, pp. 71–78. [2] F. Stradolini, “Smart-watches as paradigm-shifting players in iot: A system for connecting intensive care doctors and their patients,” 6,7 April 2017, droidcon ITA.

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Page 1: Live Demonstration: an IoT SmartWatch-based System for

Live Demonstration: an IoT SmartWatch-basedSystem for Intensive Care Monitoring

Francesca Stradolini§ and Eleonora Lavalle §†, Paolo Motto Ros†‡, Giovanni De Micheli§,Danilo Demarchi† and Sandro Carrara§

§Integrated Systems Laboratory, EPFL, Switzerland†Department of Electronics and Telecommunications, Politecnico di Torino, Italy‡Elecronic Design Laboratory (EDL), Istituto Italiano di Tecnologia (IIT), Italy

Abstract—Nowadays, wearable devices are largely spread in

many fields and in wellness monitoring too. In this paper

we propose a smartwatch-based IoT system to improve the

monitoring efficacy of critical hospitalized patients. The medical

doctor assigned to the unit can access patients’ information at

any time and from any place by wearing a smartwatch. The bio-

sensing platforms, which measure metabolites’ concentration in

the patients, are wirelessly connected with a dedicated application

running on the smartwatch. In case of anomalous measured

values, incoming alert notifications are received to ask urgent

medical intervention. In this way, the doctor, or in general the

caregiver, can freely move in the hospital areas and perform

several tasks in parallel without losing the monitoring of the

patients under their responsibility.

I. DEMONSTRATION SETUP

The aim of the demo is to reproduce the monitoring systemarchitecture and the protocol communication we have realized.Three are three main building blocks for the architecture(Fig. 1): (a) a Client AndroidTM interface, running on a bedsidetablet, directly paired with the bio-sensing platform on thepatient, (b) an Android intermediary Server-side, running ona tablet/smartphone in a central workstation, that collects datafrom different clients and enables the bidirectional commu-nication with them, and (c) a SmartWatch application on thedoctor watch device. Since we adopted Android Wear 1.0, theintermediary Server-side acts as a bridge to enable and handlethe multi-patients monitoring from the smartwatch. To recreateand validate the architecture we will carry these devices: aGalaxy Note pro 12.2 in and a Galaxy Tab 2 simultaneouslyconnected as clients, a Nexus 7 as intermediary server and aSony Smartwatch 3.Two main processes of the bi-directional communication pro-tocol will be simulated: (i) requesting data from smartwatch(the blue process on the top of Fig. 2) and (ii) alerting user incase of anomalies in recorded values (the purple process onthe bottom of Fig. 2).We will need: (i) a table for the set-up, (ii) charger plugs, (iii)Internet connection and (iv) stand for a poster where technicaldetails of the IoT architecture will be summarized.

II. VISITOR EXPERIENCE

Visitors will be attracted by videos continuously projectedon the pc monitor. Those videos where recorded while vali-dating the system: (i) connection of the patient-client to themonitoring system, (ii) doctor requests for parameters from the

Client Bed-Side ApplicationsIntermediary Server

SmartWatch

Patient1

Patient2Patient3

Figura 1. Monitoring scenario: a.) Client-Android app directly connected witheach patients bio-sensor, b.) Server app redirects data to a c.) SMartWatch appto keep the medical doctor continuously connected.

Final User-SmartWatch Server Patient #-Client

On-demand

(Patient #, Parameter $)

Mean-§-samples

On-demand

(Parameter $)

Mean-§-samples

Alert

(Patient #, Parameter $)

Alert

(Parameter $)

Alert-Received Alert-Received

Figura 2. Communication protocol: a.) Client Patient #, b.) Server and c.)SmartWatch Final User.

smartwatch and (iii) alert notification in case of out-of-safe-range parameter. In addition we will be able to let them trythese main features of the system with the available devices.Further, thank to the poster, we will be able to explain in detailthe background architecture if interested.

ACKNOWLEDGMENT

Authors thank A. De Gaetano. This work was supported bythe CoMofA project (# 325230 157139) granted by the SwissNational Science Foundation (SNF).

EARLIER PUBLICATION

[1] F. Stradolini, E. Lavalle, G. De Micheli, P. Motto Ros, D. Demarchi, andS. Carrara, “Paradigm-shifting players for iot: Smart-watches for intensivecare monitoring,” in MobiHealth. Springer, 2016, pp. 71–78.

[2] F. Stradolini, “Smart-watches as paradigm-shifting players in iot: Asystem for connecting intensive care doctors and their patients,” 6,7 April2017, droidcon ITA.