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一种基于无线传感器网络的生理信号采集系统(英文) Introduction Wirelesssensornetworks(WSNs)havebeengainingpopularityinrecentyears,withapplicationsrangingfromenvironmentalmonitoringtoindustrialautomation.However,oneareathathasseensignificantinterestistheuseofWSNsforphysiologicalsignalmonitoring.Thisisduetotheversatility,scalabilityandmobilityofwirelesssensorsthatcanbedeployedonthehumanbodyorinanenvironmentwithoutinterferingwithdailyactivitiesoroperations.Inthispaper,wepresentacomprehensiveoverviewofaWSN-basedphysiologicalsignalacquisitionsystemthatincorporatestheuseofwirelesssensorsasanefficientandreliableapproachformonitoringhumanphysiologicalsignalsinrealtime. Background Physiologicalsignalmonitoringentailstheacquisitionofsignalsgeneratedbythedifferentorgansystemsofthehumanbody.Thesesignalscanbeintheformofelectrical,mechanical,orchemical,andareindicativeofthephysicalstateandhealthoftheindividual.Avarietyofphysiologicalsignalscanbemonitoredusingsensors,includingbutnotlimitedtoelectrocardiogram(ECG),electromyogram(EMG),electroencephalogram(EEG),respiratoryrate,bloodpressure,andtemperature.Traditionalapproachestosignalacquisitionrequirewiringorcablingtoconnectthesensorstoamonitoringunit,whichcanbecumbersomeandinconvenientfortheindividualbeingmonitored.Asaresult,wirelesssensorshavegainedmomentumasapopularalternativeforsignalacquisitionduetotheirabilitytooperatewirelessly,improvingthequalityandusabilityofthemonitoringsystems. SystemArchitecture Atypicalwirelessphysiologicalsignalacquisitionsystemcomprisesthreemaincomponents:wirelesssensors,acommunicationnetwork,andadataprocessingunit.Inourproposedsystem,weemployBluetoothLowEnergy(BLE)4.0asthecommunicationprotocol,whichhasarangeofupto100metersandconsumeslesspowerthantraditionalBluetooth.Thecommunicationnetworkisformedbydeployinganumberofwirelesssensorsonthehumanbody,whichthentransmittheacquiredsignalstothedataprocessingunitforanalysis.Thedataprocessingunitactsasthecentralhubforprocessingandstoringthecollectedsignals,fromwhichfurtheranalysiscanbe