The　respiratory　rate　is　one　of　the　crucial　indicators　for　monitoring　human　physiological　health.　The　purpose　of　this　paper　was　to　introduce　a　head-mounted　respiratory　monitoring　solution　based　on　electrical　impedance　sensing.　Firstly,　we　constructed　a　finite　element　model　to　analyze　the　feasibility　of　using　head　impedance　for　respiratory　sensing　based　on　the　physiological　changes　in　the　pharynx.　After　that,　we　developed　a　circuit　module　that　could　be　integrated　into　a　head-mounted　respiratory　monitoring　device　using　a　bioelectrical　impedance　sensor.　Furthermore,　we　combined　adaptive　filtering　and　respiratory　tracking　algorithms　to　develop　an　app　for　a　mobile　phone.　Finally,　we　conducted　controlled　experiments　to　verify　the　effectiveness　of　this　electrical　impedance　sensing　system　for　extracting　respiratory　rate.　We　found　that　the　respiration　rates　measured　by　the　head-mounted　electrical　impedance　respiratory　monitoring　system　were　not　significantly　different　from　those　of　commercial　respiratory　monitoring　devices　by　a　paired　t-test　(p　＞　0.05).　The　results　showed　that　the　respiratory　rates　of　all　subjects　were　within　the　95%　confidence　interval.　Therefore,　the　head-mounted　respiratory　monitoring　scheme　proposed　in　this　paper　was　able　to　accurately　measure　respiratory　rate,　indicating　the　feasibility　of　this　solution.　In　addition,　this　respiratory　monitoring　scheme　helps　to　achieve　real-time　continuous　respiratory　monitoring,　which　can　provide　new　insights　for　personalized　health　monitoring.