PRIMARY OBJECTIVE: To create a system for the acquisition of multi-angle, multifrequency muscle impedance data. RESEARCH DESIGN: Device development and preliminary testing. METHODS AND PROCEDURES: The system presented here employs an interrogating signal composed of multiple tones with frequencies between 10 kHz and 300 kHz. The use of a composite signal makes possible measurement of impedance at multiple frequencies simultaneously. In addition, this system takes impedance measurements at multiple orientations with respect to the muscle fibres by means of an electronically reconfigurable electrode array. The required measurement time is reduced by taking advantage of muscle's linearity with respect to the flow of electrical current. MAIN OUTCOMES AND RESULTS: The system was tested in normal subjects, a patient with amyotrophic lateral sclerosis, and one with inclusion body myositis; unique impedance signatures were identified the two patients. CONCLUSIONS: Early data suggest that this system is capable of high-quality data collection and may detect changes in neuromuscular disease; study of additional normal subjects and patients with a variety of neuromuscular diseases is warranted.
PRIMARY OBJECTIVE: To create a system for the acquisition of multi-angle, multifrequency muscle impedance data. RESEARCH DESIGN: Device development and preliminary testing. METHODS AND PROCEDURES: The system presented here employs an interrogating signal composed of multiple tones with frequencies between 10 kHz and 300 kHz. The use of a composite signal makes possible measurement of impedance at multiple frequencies simultaneously. In addition, this system takes impedance measurements at multiple orientations with respect to the muscle fibres by means of an electronically reconfigurable electrode array. The required measurement time is reduced by taking advantage of muscle's linearity with respect to the flow of electrical current. MAIN OUTCOMES AND RESULTS: The system was tested in normal subjects, a patient with amyotrophic lateral sclerosis, and one with inclusion body myositis; unique impedance signatures were identified the two patients. CONCLUSIONS: Early data suggest that this system is capable of high-quality data collection and may detect changes in neuromuscular disease; study of additional normal subjects and patients with a variety of neuromuscular diseases is warranted.
Authors: Seward B Rutkove; Ramon A Partida; Gregory J Esper; Ronald Aaron; Carl A Shiffman Journal: Clin Neurophysiol Date: 2005-02 Impact factor: 3.708
Authors: Olumuyiwa T Ogunnika; Michael Scharfstein; Roshni C Cooper; Hongshen Ma; Joel L Dawson; Seward B Rutkove Journal: Conf Proc IEEE Eng Med Biol Soc Date: 2008
Authors: Seward B Rutkove; James B Caress; Michael S Cartwright; Ted M Burns; Judy Warder; William S David; Namita Goyal; Nicholas J Maragakis; Lora Clawson; Michael Benatar; Sharon Usher; Khema R Sharma; Shiva Gautam; Pushpa Narayanaswami; Elizabeth M Raynor; Mary Lou Watson; Jeremy M Shefner Journal: Amyotroph Lateral Scler Date: 2012-06-07
Authors: Martin R Turner; Robert Bowser; Lucie Bruijn; Luc Dupuis; Albert Ludolph; Michael McGrath; Giovanni Manfredi; Nicholas Maragakis; Robert G Miller; Seth L Pullman; Seward B Rutkove; Pamela J Shaw; Jeremy Shefner; Kenneth H Fischbeck Journal: Amyotroph Lateral Scler Frontotemporal Degener Date: 2013-05 Impact factor: 4.092