#vitalstream_caretaker_メディカルテクニカ #VitalStream_caretaker_メディカルテクニカ
wavelet解析のラブテック社ホルター心電計が宇宙飛行士の心電図解析をします
メディカルテクニカ リンク集
#vitalstream_caretaker_メディカルテクニカ #VitalStream_caretaker_メディカルテクニカ
メディカルテクニカ有限会社
 
#数週間モニター可能 #非皮膚接触 #非侵襲 #磁気式センサー12誘導心電図
#新開発をご指導頂ける先生を探しております #メディカルテクニカ
2024年7月12日金曜日
#Heart_vest could help predict #sudden_cardiac_death risk #Labtech_Holter #wavelet_algorithm #VitalStream_caretaker_medical #Pedcath8_Mennen_Medical #Arteriograph_Artificial_Stiffness
Heart vest could help predict sudden cardiac death risk
18 December 2023
A re-usable vest that can map the electrical activity of the heart
 in fine detail could potentially be used to 
better identify people at high risk of sudden cardiac death, 
suggests a new study led
 by UCL researchers.
Electrical signals trigger our hearts to contract, regulating our heartbeat. Problems with these signals result in heart rhythm disorders, experienced by two million people in the UK, and can cause sudden death.
Until now, detailed mapping of the heart’s electrical activity was rare – requiring either a catheter to be inserted inside the heart cavity or carried out using single-use devices that were costly and time consuming to set up, and involve radiation.
But an electrocardiographic imaging (ECGI) vest developed by UCL researchers, described in a new paper in the Journal of Cardiovascular Magnetic Resonance, holds potential to be used in standard care as it is re-usable and time-efficient, with only five minutes needed per patient.
Electrical data from the vest’s 256 sensors can be combined with detailed images 
of heart structures taken by MRI (magnetic resonance imaging)
 to generate 3D digital models of the heart and the waves of electrical activity 
flowing through it.
#VitalStream_Caretaker_type4 #連続心拍出量 #連続ストロークボリューム 研究用 #メディカルテクニカ #Labtech_Holter #生体情報 #Heart_vest_gTec #Pedcath8 #Mennen_Medical #メディカルテクニカ #Labtech_Holter #生体情報 #Heart_vest_gTec #Pedcath8 #Mennen_Medical #Vectorcardiography_Labtech_Holter #VitalStream_Caretaker_Medical #Pedcath8_Mennen_Medical #wvelet_algorithm #Piston_Medical_COanalysi
登録:
コメントの投稿 (Atom)

0 件のコメント:
コメントを投稿