CN114848012A - 脊柱侧弯分析辅助方法 - Google Patents

脊柱侧弯分析辅助方法 Download PDF

Info

Publication number
CN114848012A
CN114848012A CN202210695460.5A CN202210695460A CN114848012A CN 114848012 A CN114848012 A CN 114848012A CN 202210695460 A CN202210695460 A CN 202210695460A CN 114848012 A CN114848012 A CN 114848012A
Authority
CN
China
Prior art keywords
patient
analysis
scoliosis
spinous process
surface electromyographic
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202210695460.5A
Other languages
English (en)
Inventor
侯莹
李金萍
许敏丹
张心知
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Suzhou Municipal Hospital
Original Assignee
Suzhou Municipal Hospital
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Suzhou Municipal Hospital filed Critical Suzhou Municipal Hospital
Priority to CN202210695460.5A priority Critical patent/CN114848012A/zh
Publication of CN114848012A publication Critical patent/CN114848012A/zh
Pending legal-status Critical Current

Links

Images

Classifications

    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B8/00Diagnosis using ultrasonic, sonic or infrasonic waves
    • A61B8/44Constructional features of the ultrasonic, sonic or infrasonic diagnostic device
    • A61B8/4416Constructional features of the ultrasonic, sonic or infrasonic diagnostic device related to combined acquisition of different diagnostic modalities, e.g. combination of ultrasound and X-ray acquisitions
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/24Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316Modalities, i.e. specific diagnostic methods
    • A61B5/389Electromyography [EMG]
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/45For evaluating or diagnosing the musculoskeletal system or teeth
    • A61B5/4538Evaluating a particular part of the muscoloskeletal system or a particular medical condition
    • A61B5/4561Evaluating static posture, e.g. undesirable back curvature
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
    • A61B6/02Arrangements for diagnosis sequentially in different planes; Stereoscopic radiation diagnosis
    • A61B6/03Computed tomography [CT]
    • A61B6/032Transmission computed tomography [CT]
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
    • A61B6/46Arrangements for interfacing with the operator or the patient
    • A61B6/461Displaying means of special interest
    • A61B6/466Displaying means of special interest adapted to display 3D data
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
    • A61B6/50Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment specially adapted for specific body parts; specially adapted for specific clinical applications
    • A61B6/505Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment specially adapted for specific body parts; specially adapted for specific clinical applications for diagnosis of bone
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
    • A61B6/52Devices using data or image processing specially adapted for radiation diagnosis
    • A61B6/5211Devices using data or image processing specially adapted for radiation diagnosis involving processing of medical diagnostic data
    • A61B6/5217Devices using data or image processing specially adapted for radiation diagnosis involving processing of medical diagnostic data extracting a diagnostic or physiological parameter from medical diagnostic data
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
    • A61B6/52Devices using data or image processing specially adapted for radiation diagnosis
    • A61B6/5211Devices using data or image processing specially adapted for radiation diagnosis involving processing of medical diagnostic data
    • A61B6/5229Devices using data or image processing specially adapted for radiation diagnosis involving processing of medical diagnostic data combining image data of a patient, e.g. combining a functional image with an anatomical image
    • A61B6/5247Devices using data or image processing specially adapted for radiation diagnosis involving processing of medical diagnostic data combining image data of a patient, e.g. combining a functional image with an anatomical image combining images from an ionising-radiation diagnostic technique and a non-ionising radiation diagnostic technique, e.g. X-ray and ultrasound
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B8/00Diagnosis using ultrasonic, sonic or infrasonic waves
    • A61B8/08Detecting organic movements or changes, e.g. tumours, cysts, swellings
    • A61B8/0875Detecting organic movements or changes, e.g. tumours, cysts, swellings for diagnosis of bone
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B8/00Diagnosis using ultrasonic, sonic or infrasonic waves
    • A61B8/48Diagnostic techniques
    • A61B8/483Diagnostic techniques involving the acquisition of a 3D volume of data
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B8/00Diagnosis using ultrasonic, sonic or infrasonic waves
    • A61B8/52Devices using data or image processing specially adapted for diagnosis using ultrasonic, sonic or infrasonic waves
    • A61B8/5215Devices using data or image processing specially adapted for diagnosis using ultrasonic, sonic or infrasonic waves involving processing of medical diagnostic data
    • A61B8/5223Devices using data or image processing specially adapted for diagnosis using ultrasonic, sonic or infrasonic waves involving processing of medical diagnostic data for extracting a diagnostic or physiological parameter from medical diagnostic data
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B8/00Diagnosis using ultrasonic, sonic or infrasonic waves
    • A61B8/52Devices using data or image processing specially adapted for diagnosis using ultrasonic, sonic or infrasonic waves
    • A61B8/5215Devices using data or image processing specially adapted for diagnosis using ultrasonic, sonic or infrasonic waves involving processing of medical diagnostic data
    • A61B8/5238Devices using data or image processing specially adapted for diagnosis using ultrasonic, sonic or infrasonic waves involving processing of medical diagnostic data for combining image data of patient, e.g. merging several images from different acquisition modes into one image
    • A61B8/5261Devices using data or image processing specially adapted for diagnosis using ultrasonic, sonic or infrasonic waves involving processing of medical diagnostic data for combining image data of patient, e.g. merging several images from different acquisition modes into one image combining images from different diagnostic modalities, e.g. ultrasound and X-ray

Landscapes

  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Medical Informatics (AREA)
  • Physics & Mathematics (AREA)
  • Animal Behavior & Ethology (AREA)
  • Biophysics (AREA)
  • Public Health (AREA)
  • Veterinary Medicine (AREA)
  • General Health & Medical Sciences (AREA)
  • Pathology (AREA)
  • Biomedical Technology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Molecular Biology (AREA)
  • Surgery (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Radiology & Medical Imaging (AREA)
  • High Energy & Nuclear Physics (AREA)
  • Optics & Photonics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Orthopedic Medicine & Surgery (AREA)
  • Physiology (AREA)
  • Dentistry (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Rheumatology (AREA)
  • Physical Education & Sports Medicine (AREA)
  • Pulmonology (AREA)
  • Theoretical Computer Science (AREA)
  • Human Computer Interaction (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)

Abstract

本发明公开了一种脊柱侧弯分析辅助方法,包括如下步骤:1)将患者脊柱的CT数据导入融合超声,使用超声定位患者棘突节段并标记;2)在CT数据融合下,进行患者肌肉形态超声测量,建立患者三维骨骼肌肉数字模型并通过屏幕显示;3)采集患者的表面肌电信号,将表面肌电信号的分析判断结果叠加显示至已建立的三维骨骼肌肉模型上;4)采集完成,显示分析报告。本发明的脊柱侧弯分析辅助方法,其能在医生进行脊柱侧弯分析诊断时提供辅助,向医生显示患者的三维骨骼肌肉数字模型,并叠加显示患者在多个体位进行测试时所采集表面肌电信号的分析判断结果,并向显示分析报告,可提高医生脊柱侧弯分析诊断的准确率和效率。

Description

脊柱侧弯分析辅助方法
技术领域
本发明涉及脊柱侧弯分析辅助方法。
背景技术
脊柱侧弯(Scoliosis),也为脊柱侧凸,是原发或继发的,以脊柱骨性结构三维变化的疾病。脊柱侧弯患者的脊柱会呈现各节段的侧弯、旋转、前后凸凹的三维变化。脊柱侧弯根据患者发病的早晚、发病的原因、脊柱结构变化特点,分为不同的类型。先开性的脊柱及下肢骨骼畸形、原发或继发的神经肌肉疾病,均可能发生脊柱侧弯症状。其中最多见的是原发性青少年脊柱侧弯(adolescent idiopathic scoliosis, AIS),多在青春期前发病,病因不明;目前研究认为该病脊柱受累可能与神经肌肉控制有关。而继发性脊柱侧弯包括骨骼畸形、帕金森病、脑瘫等;在这些疾病中,维持脊柱稳定的神经、肌肉,或骨骼产生了一定的病理变化,最终导脊柱变形。所以,无论是原发性脊柱侧弯,或者是继发性脊柱侧弯,分析神经肌肉问题是此类患者功能评估、精准治疗的需求。
若能在医生进行脊柱侧弯分析诊断时提供辅助,向医生显示患者的三维骨骼肌肉数字模型,并叠加显示患者在多个体位进行测试时所采集表面肌电信号的分析判断结果,并向显示分析报告,则可提高医生脊柱侧弯分析诊断的准确率和效率。
发明内容
为了辅助医生进行脊柱侧弯分析诊断,本发明提供一种脊柱侧弯分析辅助方法,包括如下步骤:
1)将患者脊柱的CT数据导入融合超声,使用超声定位患者棘突节段并标记;
2)在CT数据融合下,进行患者肌肉形态超声测量,建立患者三维骨骼肌肉数字模型并通过屏幕显示;
3)采集患者的表面肌电信号:
采集点包括:T2棘突平面中线两侧2cm处,T7棘突平面中线两侧2cm及4cm处,T12棘突平面中线两侧2cm及4cm处,L3棘突平面中线两侧2cm及4cm处,髂前上嵴与肋骨垂直距离的中点;
使患者处于多个体位进行测试采集:先在患者处于静止俯卧位、左侧屈曲俯卧位、右侧屈曲俯卧位时,采集患者安静放松的肌电信号;然后在患者处于俯卧位抬头、仰卧位卷腹时,分别采集患者腹肌及背部采集点的表面肌电信号;
通过神经网络计算分析采集的表面肌电信号,判断表面肌电连接情况、信号强弱、数据质量以及重复测量次数;表面肌电信号的分析判断结果通过颜色深浅方式,动态、实时地叠加显示至已建立的三维骨骼肌肉模型上,并可调整视角立体观察;
4)采集完成,显示分析报告:
分析报告包括通过神经网络计算分析得到的如下内容:测试采集过程中的肌电实时信息情况,测试采集结束后的肌电网络分析报告,两次或多次差异分析报告,脊柱侧弯责任肌溯源报告。
优选的,步骤3)中,采集点还包括:T1至L3棘突平面中线两侧2cm及5cm处。
优选的,采用无线表面肌电感应器采集患者的表面肌电信号。
优选的,将无线表面肌电感应器预设在肌电采集背心上,患者穿上肌电采集背心进行表面肌电信号的采集。
优选的,采集患者的表面肌电信号之前,先对患者采集点处的皮肤涂磨砂膏并用无水酒精清洁。
本发明的优点和有益效果在于:提供一种脊柱侧弯分析辅助方法,其能在医生进行脊柱侧弯分析诊断时提供辅助,向医生显示患者的三维骨骼肌肉数字模型,并叠加显示患者在多个体位进行测试时所采集表面肌电信号的分析判断结果,并向显示分析报告,可提高医生脊柱侧弯分析诊断的准确率和效率。
附图说明
图1是患者处于多个体位进行测试采集的示意图;图1中,1表示第一个采集体位,即静止俯卧位,该体位的上半身可向左、居中、向右倾斜采集,其中头所在的位置有呼吸口;2表示第二个采集体位,即俯卧位燕子飞;3表示第三个采集体位,即半卧位卷腹;
图2是脊柱侧弯责任肌溯源的指标和算法。
具体实施方式
下面结合附图和实施例,对本发明的具体实施方式作进一步描述。以下实施例仅用于更加清楚地说明本发明的技术方案,而不能以此来限制本发明的保护范围。
本发明提供一种脊柱侧弯分析辅助方法,包括如下步骤:
1)将患者脊柱的CT数据导入融合超声,使用超声定位患者棘突节段并标记;
2)在CT数据融合下,进行患者肌肉形态超声测量,建立患者三维骨骼肌肉数字模型并通过屏幕显示;
3)采集患者的表面肌电信号:
采用无线表面肌电感应器采集患者的表面肌电信号,采集点包括:T2棘突平面中线两侧2cm处,T7棘突平面中线两侧2cm及4cm处,T12棘突平面中线两侧2cm及4cm处,L3棘突平面中线两侧2cm及4cm处,髂前上嵴与肋骨垂直距离的中点,T1至L3棘突平面中线两侧2cm及5cm处;
采集前,先对患者采集点处的皮肤涂磨砂膏并用无水酒精清洁;
如图1所示,使患者处于多个体位进行测试采集:先在患者处于静止俯卧位、左侧屈曲俯卧位、右侧屈曲俯卧位时,采集患者安静放松的肌电信号;然后在患者处于俯卧位抬头、仰卧位卷腹时,分别采集患者腹肌及背部采集点的表面肌电信号;
通过神经网络计算分析采集的表面肌电信号,判断表面肌电连接情况、信号强弱、数据质量以及重复测量次数;表面肌电信号的分析判断结果通过颜色深浅方式,动态、实时地叠加显示至已建立的三维骨骼肌肉模型上,并可调整视角立体观察;
4)采集完成,显示分析报告:
分析报告包括通过神经网络计算分析得到的如下内容:测试采集过程中的肌电实时信息情况,测试采集结束后的肌电网络分析报告,两次或多次差异分析报告,脊柱侧弯责任肌溯源报告;
其中,脊柱侧弯责任肌溯源的指标和算法如图2所示。
本发明能在医生进行脊柱侧弯分析诊断时提供辅助,向医生显示患者的三维骨骼肌肉数字模型,并叠加显示患者在多个体位进行测试时所采集表面肌电信号的分析判断结果,并向显示分析报告,可提高医生脊柱侧弯分析诊断的准确率和效率。
更具体的,本发明还提供一种脊柱两侧椎旁肌肌电信号的采集方法,采用可安装无线表面肌电感应器的横条和可安装横条的背心进行采集;
所述背心包括背心前部和背心后部;背心后部设有可露出患者后背脊柱区域的镂空区域,镂空区域为竖置长方形;背心后部设有下延条,下延条的内侧面底端设有横向魔术贴条,背心前部的外侧面设有可与横向魔术贴条粘接的纵向魔术贴条;
所述横条的中部设有用于与患者脊柱节段对准的镂空定位点,镂空定位点为圆形;横条的正面两端分别设有魔术贴头;横条正面在镂空定位点两侧分别设有用于安装无线表面肌电感应器的安装位,且镂空定位点两侧的安装位以镂空定位点对称设置;横条正面在镂空定位点的同一侧设有两个安装位,该两个安装位与镂空定位点的间距分别为2cm和4cm;
所述横条可横向跨域背心后部的镂空区域;背心后部的外侧面覆有可与横条正面两端魔术贴头粘接的魔术贴片,该魔术贴片不覆盖背心后部的镂空区域;
所述脊柱两侧椎旁肌肌电信号的采集方法,包括如下步骤:
将背心穿在患者身上,使患者后背的脊柱区域处于背心后部的镂空区域;然后将背心后部的下延条跨过患者裆部并拉至背心前部,通过拉紧下延条使背心后部贴紧患者后背,然后将下延条内侧面底端的横向魔术贴条粘接固定在背心前部外侧面的纵向魔术贴条上;此时,背心紧贴在患者身上;
根据需要采集的脊柱节段的数量来确定需要使用的横条数量,每个脊柱节段采用一个横条;根据脊柱节段两侧椎旁肌的检查位置来选择横条上的对称安装位,即选择与镂空定位点间距2cm的一对对称安装位,或选择与镂空定位点间距4cm的一对对称安装位;然后在镂空定位点两侧的对称安装位上分别粘固安装无线表面肌电感应器;
然后按照需要采集的脊柱节段的上下位置,由上至下或由下至上依次安装横条;安装横条前,先对患者背部皮肤涂磨砂膏并用无水酒精清洁;安装横条时:将横条横置,使横条正面朝向患者后背,并将横条的镂空定位点对准相应的脊柱节段;然后将横条面朝两端的魔术贴头分别粘接固定在背心后部外侧面的魔术贴片上;此时,横条的对称安装位上的无线表面肌电感应器分别贴紧在患者后背上,且对称安装位上的无线表面肌电感应器与相应脊柱节段两侧的椎旁肌一一对应;
然后通过无线表面肌电感应器采用对应椎旁肌的肌电信号;
肌电信号采集完成后,将横条从背心后部外侧面上取下,将背心后部的下延条从背心前部外侧面上解开,将背心从患者身上脱下。
本发明提供的脊柱两侧椎旁肌肌电信号的采集方法,采用可安装无线表面肌电感应器的横条和可定位横条的背心,便于安装和定位无线表面肌电感应器,便于采集患者脊柱两侧椎旁肌的肌电信号。
以上所述仅是本发明的优选实施方式,应当指出,对于本技术领域的普通技术人员来说,在不脱离本发明技术原理的前提下,还可以做出若干改进和润饰,这些改进和润饰也应视为本发明的保护范围。

Claims (5)

1.脊柱侧弯分析辅助方法,其特征在于,包括如下步骤:
1)将患者脊柱的CT数据导入融合超声,使用超声定位患者棘突节段并标记;
2)在CT数据融合下,进行患者肌肉形态超声测量,建立患者三维骨骼肌肉数字模型并通过屏幕显示;
3)采集患者的表面肌电信号:
采集点包括:T2棘突平面中线两侧2cm处,T7棘突平面中线两侧2cm及4cm处,T12棘突平面中线两侧2cm及4cm处,L3棘突平面中线两侧2cm及4cm处,髂前上嵴与肋骨垂直距离的中点;
使患者处于多个体位进行测试采集:先在患者处于静止俯卧位、左侧屈曲俯卧位、右侧屈曲俯卧位时,采集患者安静放松的肌电信号;然后在患者处于俯卧位抬头、仰卧位卷腹时,分别采集患者腹肌及背部采集点的表面肌电信号;
通过神经网络计算分析采集的表面肌电信号,判断表面肌电连接情况、信号强弱、数据质量以及重复测量次数;表面肌电信号的分析判断结果通过颜色深浅方式,动态、实时地叠加显示至已建立的三维骨骼肌肉模型上,并可调整视角立体观察;
4)采集完成,显示分析报告:
分析报告包括通过神经网络计算分析得到的如下内容:测试采集过程中的肌电实时信息情况,测试采集结束后的肌电网络分析报告,两次或多次差异分析报告,脊柱侧弯责任肌溯源报告。
2.根据权利要求1所述的脊柱侧弯分析辅助方法,其特征在于,步骤3)中,采集点还包括:T1至L3棘突平面中线两侧2cm及5cm处。
3.根据权利要求1所述的脊柱侧弯分析辅助方法,其特征在于,采用无线表面肌电感应器采集患者的表面肌电信号。
4.根据权利要求3所述的脊柱侧弯分析辅助方法,其特征在于,将无线表面肌电感应器预设在肌电采集背心上,患者穿上肌电采集背心进行表面肌电信号的采集。
5.根据权利要求1所述的脊柱侧弯分析辅助方法,其特征在于,采集患者的表面肌电信号之前,先对患者采集点处的皮肤涂磨砂膏并用无水酒精清洁。
CN202210695460.5A 2022-06-20 2022-06-20 脊柱侧弯分析辅助方法 Pending CN114848012A (zh)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202210695460.5A CN114848012A (zh) 2022-06-20 2022-06-20 脊柱侧弯分析辅助方法

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202210695460.5A CN114848012A (zh) 2022-06-20 2022-06-20 脊柱侧弯分析辅助方法

Publications (1)

Publication Number Publication Date
CN114848012A true CN114848012A (zh) 2022-08-05

Family

ID=82626792

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202210695460.5A Pending CN114848012A (zh) 2022-06-20 2022-06-20 脊柱侧弯分析辅助方法

Country Status (1)

Country Link
CN (1) CN114848012A (zh)

Similar Documents

Publication Publication Date Title
US6055448A (en) Sensor device
Bunce et al. M-mode ultrasound: a reliable measure of transversus abdominis thickness?
Dawson et al. Linear affine transformations between 3-lead (Frank XYZ leads) vectorcardiogram and 12-lead electrocardiogram signals
Willigenburg et al. Removing ECG contamination from EMG recordings: A comparison of ICA-based and other filtering procedures
FI101037B (fi) Menetelmä nivelten ja niihin liittyvien lihasten toiminnan mittaamisek si
Lux et al. Clinically practical lead systems for improved electrocardiography: comparison with precordial grids and conventional lead systems.
EP2958489B1 (de) Ekg-gerät
US6002957A (en) EMG electrode array support belt
EP1893078B1 (en) An electrode and a method for determining electrical biopotentials
ES2329338T3 (es) Sistema para procesar señales electrocardiacas que tienen complejos superpuestos.
US6185451B1 (en) Muscle function assessment apparatus and method
US20140288405A1 (en) Internal Bleeding Detection Apparatus
US8359090B2 (en) Electrocardiograph with extended lead function, and extended lead electrocardiogram deriving method
JP2002502274A (ja) コンピュータ化された筋電図診断システム
JP2002538872A (ja) 非観血的、受動的に胎児心臓を監視する装置及び方法
Spach et al. Isopotential body surface mapping in subjects of all ages: emphasis on low-level potentials with analysis of the method.
Gallina et al. Do surface electromyograms provide physiological estimates of conduction velocity from the medial gastrocnemius muscle?
Sheppard et al. Does modifying electrode placement of the 12 lead ECG matter in healthy subjects?
CN114848012A (zh) 脊柱侧弯分析辅助方法
WO2003088839A2 (en) Uterine magnetomyography
Boe et al. Inter-rater reliability of motor unit number estimates and quantitative motor unit analysis in the tibialis anterior muscle
JP4777326B2 (ja) 付加誘導機能を備えた心電計及び付加誘導心電図導出方法
US20070060828A1 (en) Ecg system and method for the large-surface measurement of ecg signals
EP4069084A1 (en) Method and device for reproducible placement of ecg chest electrodes
RU2297177C2 (ru) Способ оценки координации биоэлектрической активности паравертебральных мышц

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination